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<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="doi">10.3389/fmicb.2025.1525564</article-id>
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<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A scoping review of the prevalence of antimicrobial-resistant pathogens and signatures in ready-to-eat street foods in Africa: implications for public health</article-title>
</title-group>
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<name><surname>Onohuean</surname> <given-names>Hope</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<name><surname>Olot</surname> <given-names>Haron</given-names></name>
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<name><surname>Onohuean</surname> <given-names>Fanny Eseohe</given-names></name>
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<name><surname>Bukke</surname> <given-names>Sarad Pawar Naik</given-names></name>
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<name><surname>Akinsuyi</surname> <given-names>Oluwamayowa S.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<name><surname>Kade</surname> <given-names>Ayomikun</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Biomolecules, Metagenomics, Endocrine and Tropical Disease Research Group (BMETDREG), Kampala International University, Western Campus</institution>, <addr-line>Ishaka-Bushenyi</addr-line>, <country>Uganda</country></aff>
<aff id="aff2"><sup>2</sup><institution>Biopharmaceutics Unit, Department of Pharmacology and Toxicology, School of Pharmacy, Kampala International University</institution>, <addr-line>Ishaka-Bushenyi</addr-line>, <country>Uganda</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Pharmaceutics and Pharmaceutical Technology, Kampala International University, Western Campus</institution>, <addr-line>Ishaka-Bushenyi</addr-line>, <country>Uganda</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Microbiology and Cell Science, University of Florida</institution>, <addr-line>Gainesville, FL</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>School of Life Sciences, University of Warwick</institution>, <addr-line>Coventry</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Giovanna Suzzi, University of Teramo, Italy</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Abeni Beshiru, Federal Institute for Risk Assessment (BfR), Germany</p>
<p>Anthony Ayodeji Adegoke, University of Uyo, Nigeria</p>
<p>Alidehou Jerrold Agbankpe, Institut Pasteur de Guin&#x00E9;e, Guinea</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Hope Onohuean, <email>onohuean@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>04</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1525564</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Onohuean, Olot, Onohuean, Bukke, Akinsuyi and Kade.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Onohuean, Olot, Onohuean, Bukke, Akinsuyi and Kade</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background and objective</title>
<p>Despite its critical role in individual and societal health, food hygiene remains underexplored. Antibiotic-resistant pathogenic bacteria in ready-to-eat (RTE) food threaten public health. This scoping review collected data on the epidemiological prevalence of RTE food-contaminated pathogens resistant to antimicrobial drugs and resistance genes in Africa.</p>
</sec>
<sec id="sec2">
<title>Method</title>
<p>Using electronic databases, such as PubMed, Scopus, and Web of Science (WoS), handpicked from references, pre-reviewed published articles were retrieved and analyzed according to the PRISMA-ScR guidelines.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>The findings indicate 40 previewed published articles qualified for meta-synthesis in the scoping review with a population/case ratio of 11,653/5,338 (45.80%). The most frequently reported RTE foods were meat or beef/beef-soup, chicken or poultry products, salads, vegetable salads, and sandwiches, which harboured pathogens such as <italic>E. coli, Salmonella, and Staphylococcus.</italic> Antibiotic susceptibility tests revealed the use of 48 antibiotics to manage infections, following CLSI (Clinical and Laboratory Standards Institute) protocols. Moreover, 10 authors reported 54 resistance genes associated with pathogenic resistant bacteria. In addition, only 15 studies received funding or financial support.</p>
</sec>
<sec sec-type="conclusions" id="sec4">
<title>Conclusion</title>
<p>These findings from several researchers indicate that RTE street foods in African and resource-limited nations harbour enteric pathogens and are a significant concern to the public health system and reservoir of the spread of antibiotic resistance. This underscores the necessity of implementing effective control strategies to address challenges and limit the spread of resistant bacteria in RTE foods. The antimicrobial resistance surveillance system in the region is a significant concern. Notably, Africa needs to strengthen the national and international regulatory bodies and a health surveillance system on antimicrobial resistance, particularly among developing nations.</p>
</sec>
</abstract>
<kwd-group>
<kwd>prevalence</kwd>
<kwd>antibiotic-resistance</kwd>
<kwd>ready-to-eat (RTE)</kwd>
<kwd>street-foods</kwd>
<kwd>Africa</kwd>
<kwd>public health</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="107"/>
<page-count count="19"/>
<word-count count="12419"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Food Microbiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Ready-to-eat (RTE) foods are foods prepared for consumption, and they may be raw or cooked, served hot or chilled, and often eaten without any additional treatment or processing (<xref ref-type="bibr" rid="ref41">Lund, 2019</xref>; <xref ref-type="bibr" rid="ref97">Valiati et al., 2023</xref>). Most RTE foods in Africa include hamburgers, salads, macaroni salad, cooked/roasted meats, smoked fish, sandwiches, cheese, mushroom pasta, deli-style cheese, burritos, fajitas, freshly made sushi, desserts, and ice-creams such as doughnuts etc. (<xref ref-type="bibr" rid="ref41">Lund, 2019</xref>; <xref ref-type="bibr" rid="ref97">Valiati et al., 2023</xref>). The consumption of diverse RTE foods in public spaces has become prevalent globally. RTE foods are widely consumed in low- and middle-income countries (LMICs) because of their convenience, affordability, and palatability (<xref ref-type="bibr" rid="ref43">Makinde et al., 2020</xref>). Given the essential significance of food in human life, it is imperative to uphold food safety to protect individuals from foodborne illnesses and other associated health risks (<xref ref-type="bibr" rid="ref47">Mengistu and Tolera, 2020</xref>). At the same time, it could be a reservoir of antibiotic resistance (<xref ref-type="bibr" rid="ref33">Igere et al., 2022b</xref>, <xref ref-type="bibr" rid="ref34">2024</xref>; <xref ref-type="bibr" rid="ref66">Onohuean and Igere, 2022</xref>). Mainstream research has extensively focused on environmental sources (such as water and soil) and clinical surveillance as major reservoirs of bacteria antibiotic resistance (<xref ref-type="bibr" rid="ref30">Igere et al., 2022a</xref>; <xref ref-type="bibr" rid="ref69">Onohuean and Nwodo, 2023b</xref>; <xref ref-type="bibr" rid="ref75">Regassa et al., 2023</xref>; <xref ref-type="bibr" rid="ref82">Sat&#x00E1;n et al., 2023</xref>). There is sparse data on the distribution and prevalence of antibiotic resistance from RTE foods.</p>
<p>Furthermore, food safety involves preventing chemical, biological, pathogens, and other health hazards from contaminating food. However, improper handling and serving of RTE street food can cause contamination with pathogens such as <italic>Salmonella, Vibrio</italic> spp.<italic>, Campylobacter, E. coli, Listeria monocytogenes, Toxoplasma gondii, Clostridium botulinum, Moulds</italic> and other foodborne pathogens including <italic>Cyclospora</italic>, <italic>Hepatitis</italic> A, and <italic>Cronobacter sakazakii</italic> (<xref ref-type="bibr" rid="ref13">Beshiru et al., 2019</xref>; <xref ref-type="bibr" rid="ref30">Igere et al., 2022a</xref>; <xref ref-type="bibr" rid="ref66">Onohuean and Igere, 2022</xref>, <xref ref-type="bibr" rid="ref67">2023</xref>). The use of contaminated water, inadequate hygiene, and environmental sanitation also impacts the contamination of RTE food, resulting in typhoid fever and diarrhoea infections (<xref ref-type="bibr" rid="ref32">Igere et al., 2023</xref>; <xref ref-type="bibr" rid="ref68">Onohuean and Nwodo, 2023a</xref>). Therefore, RTE foods prepared with contaminated ingredients, water, and in an unsanitary setting can contain these bacteria, which significantly impacts public health.</p>
<p>Food contaminated with antibiotic-resistant pathogenic microorganisms poses a significant risk to public health. In addition to infecting people, they serve as potential reservoirs of antimicrobial resistance, facilitating the transfer of antibiotic-resistant components to both related and unrelated bacterial species (<xref ref-type="bibr" rid="ref56">Odu and Akano, 2012</xref>; <xref ref-type="bibr" rid="ref14">Beshiru et al., 2020</xref>; <xref ref-type="bibr" rid="ref66">Onohuean and Igere, 2022</xref>). This has contributed to the global increase in antibiotic resistance among foodborne bacteria and infections in recent years. Regrettably, in many low-income African nations, most food vendors lack significant monitoring or licences by appropriate agencies or organizations overseen or accredited by relevant bodies or organizations to validate these RTE food safety. Again, these RTE food vendors could have compromised their products due to the environment and methods employed, increasing the likelihood that some are infected with bacterial infections. Although critical to health and productivity, food hygiene has been significantly overlooked in African research.</p>
<p>Antimicrobials, including antibiotics, are medications used to treat or prevent bacterial infections in humans and animals. Globally, antimicrobial resistance (AMR) in RTE foods has impacted product safety and quality. Countries with rigorous food safety standards, such as the European Union and the United States, impose stricter limitations on the use of antimicrobial agents in food production (<xref ref-type="bibr" rid="ref98">Walia et al., 2019</xref>; <xref ref-type="bibr" rid="ref38">K&#x00E4;ttstr&#x00F6;m et al., 2022</xref>; <xref ref-type="bibr" rid="ref91">Taylor et al., 2022</xref>). In LMICs, where agricultural practices frequently lack control, the unrestrained use of antibiotics in animal production facilitates the emergence of resistant bacteria that may infiltrate the food chain (<xref ref-type="bibr" rid="ref81">Samtiya et al., 2022</xref>). Due to their limited processing and frequent consumption without additional cooking, RTE foods present an increased risk of the spread of antimicrobial-resistant bacteria among consumers. Furthermore, the use of antimicrobials is affected by AMR, which constitutes a significant global public health and developmental threat. Bacterial AMR is thought to have contributed to 4.95 million fatalities worldwide in 2019 and been directly responsible for 1.27 million deaths (<xref ref-type="bibr" rid="ref50">Murray et al., 2022</xref>; <xref ref-type="bibr" rid="ref101">WHO, 2023</xref>).Resistance is a natural occurrence intensified by excessive or improper use (<xref ref-type="bibr" rid="ref99">WHO, 2018</xref>; <xref ref-type="bibr" rid="ref63">Onohuean et al., 2022a</xref>; <xref ref-type="bibr" rid="ref87">Somda et al., 2023</xref>). Followed by mutations, gene transfer, and target modification, antimicrobial-sensitive organisms can develop microbial resistance to antimicrobials (<xref ref-type="bibr" rid="ref51">Muteeb et al., 2023</xref>; <xref ref-type="bibr" rid="ref67">Onohuean and Igere, 2023</xref>). Bacteria can increase antibiotic resistance through many processes, which differ according to species and origin. Thought resistance was common among clinical strains, it has become a widespread environmental and food bacterial isolate (<xref ref-type="bibr" rid="ref86">Somda et al., 2021</xref>); one of the biggest public health issues is global.</p>
<p>Research has revealed a troubling degree of antibiotic resistance in the bacterial pathogens present in these foods, potentially resulting in profound health implications for consumers. The 11 AMR genes included tetracycline (<italic>tetA</italic>, <italic>tetB</italic>, <italic>tetM</italic>), aminoglycoside (<italic>aadA</italic>, <italic>aphA-1</italic>), sulphonamide (<italic>sulI</italic>, <italic>sulII</italic>), chloramphenicol (<italic>cmlA</italic>, <italic>floR</italic>), erythromycin (<italic>ermB</italic>), and disinfection resistance genes (<italic>qacE</italic>). <italic>TetA</italic> has been reported as the most prevalently identified gene in food samples, with a frequency of 100% across all samples (<xref ref-type="bibr" rid="ref104">Xiong et al., 2019</xref>). Also, the study by <xref ref-type="bibr" rid="ref87">Somda et al. (2023)</xref> identified <italic>tet(A), tet(B), tet(C), tet(K), blaTEM, catA1, catA2, cmlA, blaCTXM, qnrA, qnrB, qnrS, parC,</italic> and <italic>qepA4</italic> genes as typical in foodborne pathogenic bacteria in West Africa.</p>
<p>The widespread prevalence of antibiotic-resistant pathogenic bacteria in RTE foods significantly contributes to human multidrug resistance. The food chain acts as a transmission route for resistant strains, facilitating the acquisition and of transfer resistance genes, which pose significant health risks. Evidence has shown that multidrug-resistant bacteria in food correlate with the growth of antibiotic-resistant illnesses in humans, thereby complicating treatment (<xref ref-type="bibr" rid="ref26">Himanshu et al., 2022</xref>; <xref ref-type="bibr" rid="ref19">Choy et al., 2024</xref>). This underscores the critical need for surveillance data to inform policymakers and stockholders about enhanced food safety protocols. The goal of this scoping review is to create a database for RTE food resistance to antimicrobial drugs in Africa. To identify the most incriminated pathogens, we assessed the evolution of antibiotic resistance in bacteria isolated from RTE food samples and determined the prevalence of antibiotic resistance genes in RTE food.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methodology</title>
<sec id="sec7">
<title>Study design and article search strategies</title>
<p>This study adopted the protocol of Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) (<xref ref-type="bibr" rid="ref94">Tricco et al., 2018</xref>) for the study selection process of pre-review published articles from African countries. Using specific keywords and wildcard&#x002A; procedural details in <xref ref-type="supplementary-material" rid="SM1">Supplementary file</xref>. Research articles from PubMed, Scopus, and Web of Science (WoS), published in English between 2000 and 2024, were retrieved on 25 September 2024, and updated plus handpicked from references on 29 October 2024 at 11:05&#x202F;p.m. The dataset was merged and normalized using the ScientoPy and fBasics R packages, duplicates were eliminated, and the final compilation was saved in CSV or Excel format (<xref ref-type="bibr" rid="ref78">Rstudio Team, 2020</xref>; <xref ref-type="bibr" rid="ref64">Onohuean et al., 2022b</xref>, <xref ref-type="bibr" rid="ref65">2022c</xref>).</p>
</sec>
<sec id="sec8">
<title>Eligibility criteria</title>
<p>Articles that satisfied the specified inclusion criteria were included in the systematic review. Research articles conducted within the African nations between 2000 and 2024, a defined research methodology such as cross-sectional, survey, experimental or bacteriological research, conventional phenotypic method or genotypic primary Polymerase chain reaction (PCR) methods or molecular methods for antibiotic resistance genes or whole genome sequencing and MALDI-TOF mass spectrometry to identify the prevalence of antibiotic-resistant pathogenic bacteria of public health-relevant bacteria, such as <italic>Salmonella</italic>, <italic>Staphylococcus aureus</italic>, <italic>Vibrio</italic> spp., and <italic>E. coli</italic>, and resistance genes in RTE foods, articles published in English in language, studies conducted on various types of RTE foods in Africa nations qualified for inclusion. The excluded articles were review articles, studies on antibiotic resistance genes in artificially contaminated bacteria or machine learning studies, research theses, opinion pieces, book chapters, non-peer-reviewed works, clinical or environmental sample sources that are not RTE foods, and conference abstracts for which full articles were not readily available.</p>
</sec>
<sec id="sec9">
<title>Outcome of interest</title>
<p>The outcome of interest based on the objective of this systematic review is to determine the prevalence of RTE food-contaminated pathogens (<italic>E. coli</italic>, <italic>Salmonella</italic>, <italic>Staphylococcus aureus,</italic> etc.), their resistance to antimicrobial drugs, and resistance genera within African nations.</p>
</sec>
<sec id="sec10">
<title>Assessment of data quality</title>
<p>The Newcastle-Ottawa Scale (NOS), approved by the Agency for Healthcare Research and Quality (AHRQ), was used to evaluate the quality of the data included in this scoping review and analysis (<xref ref-type="bibr" rid="ref65">Onohuean et al., 2022c</xref>). Using a star rating system, the quality of the studies was evaluated based on three categories: the selection of research groups received a maximum of 4 stars, variables include articles source or type of RTE foods, representativeness sample of community or population bacteria or contaminated pathogens, antimicrobial drugs, and/or resistance-genes. The comparability of groups received a maximum of 2 stars, variables assessed include methods and period, and the assessment of outcomes received a maximum of 3 stars, variables that clearly defined and reliably measured outcomes such as the present of RTE food-contaminated pathogens, antimicrobial drugs, and resistance-genes.</p>
</sec>
<sec id="sec11">
<title>Data extraction</title>
<p>The two authors (HO and OH) independently analyzed the titles and abstracts of the retrieved datasets for potentially appropriate studies. Studies not conducted in Africa, as well as literature reviews, systematic reviews, conference papers, and opinion pieces, were excluded. The complete texts of the selected papers were meticulously analyzed, and the results aligned with the objectives of the scoping review, which was a meta-synthesis using a data extraction tool. The information, including title of articles, authors/year, countries, source (RTE foods), method, types of bacterial isolates, sample population, antibiotic/antimicrobial used, antibiotic susceptibility pattern, resistant genes, and funders, was obtained in the data extraction form.</p>
</sec>
<sec id="sec12">
<title>Data analysis</title>
<p>The retrieved data were used for descriptive statistics. Subsequent analysis was conducted at several stages in Excel 2013 R version 4.1.0 software, and findings are presented in figures, graphical heatmaps, etc.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<title>Results</title>
<sec id="sec14">
<title>Summary findings from the literature search</title>
<p>From the total of 668 articles identified in the searched different databases, 455 passed the initial screening, 198 were retrieved, 149 were eligible, and 40 published articles qualified for inclusion in the meta-synthesis in the scoping review (<xref ref-type="fig" rid="fig1">Figure 1</xref>). In the African region, the nation&#x2019;s Nigeria (<italic>n</italic>&#x202F;=&#x202F;18 articles), Ethiopia (<italic>n</italic>&#x202F;=&#x202F;3 articles), and South Africa (<italic>n</italic>&#x202F;=&#x202F;3 articles) were the countries most frequently reported on the national distribution of antibiotics recovered from RTE foods (<xref ref-type="fig" rid="fig2">Figure 2</xref>). However, only one study has been reported on mixed West African countries (Ghana, Nigeria, Benin, and Togo).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>PRISMA study selection flowchart on antibiotic-resistant pathogenic bacteria, prevalence rates, and resistance genes in RTE foods in Africa.</p>
</caption>
<graphic xlink:href="fmicb-16-1525564-g001.tif"/>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Study localities on antibiotic-resistant pathogenic bacteria, prevalence rates, and resistance genes in RTE foods in Africa.</p>
</caption>
<graphic xlink:href="fmicb-16-1525564-g002.tif"/>
</fig>
</sec>
<sec id="sec15">
<title>Quality assessment</title>
<p>In <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>, we present the particular information on the evaluation questions listed according to a domain for each article and the quality evaluation ratings of the research that were included. On the other hand, the comparability of the NOS variables did not reward any of the research papers that were evaluated with any stars because no comparative data/studies were found in the included articles. However, the quality ratings of the included studies ranged from 8 to 10. A total of 12 studies were awarded 10 points out of the potential 10 points, 18 were awarded 9 points, and 10 were awarded 8 points.</p>
</sec>
<sec id="sec16">
<title>Articles included</title>
<p>The articles used in this scoping review were <xref ref-type="bibr" rid="ref62">Oladipo and Adejumobi (2010)</xref>; <xref ref-type="bibr" rid="ref55">Nyenje et al. (2012)</xref>; <xref ref-type="bibr" rid="ref5">Akinyem et al. (2013)</xref>; <xref ref-type="bibr" rid="ref107">Zige (2013)</xref>; <xref ref-type="bibr" rid="ref7">Aminu and Umeh (2014)</xref>; <xref ref-type="bibr" rid="ref3">Akinnibosun and Ojo (2015)</xref>; <xref ref-type="bibr" rid="ref73">Owoseni and Onilude (2016)</xref>; <xref ref-type="bibr" rid="ref92">Tesfaye et al. (2016)</xref>; <xref ref-type="bibr" rid="ref105">Yaici et al. (2017)</xref>; <xref ref-type="bibr" rid="ref8">Ananias and Roland (2017)</xref>; <xref ref-type="bibr" rid="ref22">Ebakota et al. (2018)</xref>; <xref ref-type="bibr" rid="ref49">Morshdy et al. (2018)</xref>; <xref ref-type="bibr" rid="ref60">Okoli et al. (2018)</xref>; <xref ref-type="bibr" rid="ref95">Tshipamba et al. (2018)</xref>; <xref ref-type="bibr" rid="ref16">Blessed (2018)</xref>; <xref ref-type="bibr" rid="ref53">Ndunguru and Ndossi (2020)</xref>; <xref ref-type="bibr" rid="ref58">Okafor-Elenwo and Imade (2020a</xref>, <xref ref-type="bibr" rid="ref59">2020b)</xref>; <xref ref-type="bibr" rid="ref61">Okubo et al. (2020)</xref>; <xref ref-type="bibr" rid="ref9">Asiegbu et al. (2020)</xref>; <xref ref-type="bibr" rid="ref20">Claudious et al. (2020)</xref>; <xref ref-type="bibr" rid="ref24">Fayemi et al. (2021)</xref>; <xref ref-type="bibr" rid="ref36">Izevbuwa and Okhuebor (2021)</xref>; <xref ref-type="bibr" rid="ref42">Makinde et al. (2021)</xref>; <xref ref-type="bibr" rid="ref45">Mayor&#x00E9; et al. (2021)</xref>; <xref ref-type="bibr" rid="ref46">Mekhloufi et al. (2021)</xref>; <xref ref-type="bibr" rid="ref54">Nikiema et al. (2021)</xref>; <xref ref-type="bibr" rid="ref83">Setsoafia Saba et al. (2021)</xref>; <xref ref-type="bibr" rid="ref37">Karikari et al. (2022)</xref>; <xref ref-type="bibr" rid="ref52">Mwove et al. (2022)</xref>; <xref ref-type="bibr" rid="ref88">Soubeiga et al. (2022)</xref>; <xref ref-type="bibr" rid="ref23">Esemu et al. (2023)</xref>; <xref ref-type="bibr" rid="ref6">Alelign et al. (2023)</xref>; <xref ref-type="bibr" rid="ref77">Ronald et al. (2023)</xref>; <xref ref-type="bibr" rid="ref12">Beshiru and Igbinosa (2023)</xref>; <xref ref-type="bibr" rid="ref4">Akinyele et al. (2024)</xref>; <xref ref-type="bibr" rid="ref35">Isic et al. (2024)</xref>; <xref ref-type="bibr" rid="ref48">Moges et al. (2024)</xref>; <xref ref-type="bibr" rid="ref96">Umar et al. (2024)</xref>.</p>
</sec>
<sec id="sec17">
<title>Population/cases of antibiotic-resistant pathogenic bacteria in RTE foods in African countries</title>
<p>In Africa, antibiotic-resistant pathogenic bacteria were found in 5,338 out of 11,653 (45.80%) samples of RTE foods. However, the sample size and cases by nations were Nigeria (59.05%, 128.9% cases), Ethiopia (6.87%, 14.99% cases), and South Africa (4.91%, 10.72% cases) were the countries most frequently reporting antibiotic-resistant bacteria from RTE foods (<xref ref-type="table" rid="tab1">Table 1</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>). The, one study involving a combination of West African countries (Ghana, Nigeria, Benin, and Togo) reported fewer occurrences, accounting for only 0.37% of the total samples and 0.81% of the cases.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Overall characteristics of the included studies on antibiotic-resistant pathogenic bacteria, prevalence rates, and resistance genes in RTE foods in Africa.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Authors</th>
<th align="left" valign="top">Countries</th>
<th align="left" valign="top">Source (RTE foods)</th>
<th align="left" valign="top">Period</th>
<th align="left" valign="top">Method</th>
<th align="left" valign="top">Types of bacterial isolates</th>
<th align="center" valign="top">Total samples</th>
<th align="center" valign="top">Positive cases</th>
<th align="center" valign="top">% prevalence</th>
<th align="left" valign="top">Antibiotic susceptibility (resistance)</th>
<th align="left" valign="top">Resistant genes</th>
<th align="left" valign="top">Funders</th>
<th align="center" valign="top">Score</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref46">Mekhloufi et al. (2021)</xref>
</td>
<td align="left" valign="top">Algeria</td>
<td align="left" valign="top">Salads</td>
<td align="left" valign="top">2018 to 2019</td>
<td align="left" valign="top">(ISR)-PCR, (SEg)-typing</td>
<td align="left" valign="top"><italic>Staphylococcus</italic></td>
<td align="center" valign="top">207</td>
<td align="center" valign="top">99</td>
<td align="center" valign="top">47.83</td>
<td align="left" valign="top">Benzylpenicillin</td>
<td align="left" valign="top"><italic>mecA</italic>, tst</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref105">Yaici et al. (2017)</xref>
</td>
<td align="left" valign="top">Algeria</td>
<td align="left" valign="top">Sandwich</td>
<td align="left" valign="top">February 2013 to March 2014</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top"><italic>E. coli, Klebsiella</italic></td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">14.00</td>
<td align="left" valign="top">Tetracyclines, nalidixic acid, kanamycin, chloramphenicol, gentamycin, enrofloxacin, and streptomycin</td>
<td align="left" valign="top"><italic>blaCTX-M-1</italic>, <italic>blaCTX-M-15</italic>, <italic>blaCTX-M-14</italic>, <italic>blaCTX-M-2</italic>, <italic>blaSHV-2</italic>, <italic>blaSHV12</italic>, <italic>blaCTX-M-1</italic>, <italic>blaCMY-2</italic>, <italic>aac(6&#x2032;)-Ib-cr</italic>, <italic>oqxA</italic>, <italic>oqxB</italic>, <italic>q</italic>nr<italic>A</italic>, <italic>q</italic>nr<italic>B</italic>, <italic>q</italic>nr<italic>S</italic>, <italic>mecA</italic>, <italic>tsst-1</italic></td>
<td align="left" valign="top">French agency for food, environmental and occupational health safety (ANSES)</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref54">Nikiema et al. (2021)</xref>
</td>
<td align="left" valign="top">Burkina Faso</td>
<td align="left" valign="top">Sandwich</td>
<td align="left" valign="top">June 2017 to July 2018</td>
<td align="left" valign="top">Whole-genome sequencing, Serotyping</td>
<td align="left" valign="top"><italic>Salmonella.</italic></td>
<td align="center" valign="top">201</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">17.91</td>
<td align="left" valign="top">Ampicillin, ampicillin/sulbactam, amikacin, amoxicillin, amoxicillin/clavulanic acid, augumentin, azithromycin, tetracyclines, nalidixic acid, norfloxacin, mupirocin, kanamycin, ceporex, carbenicilin, chloramphenicol, gentam ycin, cefotaxime, clindamycin, and ceftazidine</td>
<td align="left" valign="top"><italic>blaTEM-1B</italic>, <italic>tet(A)</italic>, <italic>Sul1</italic>, <italic>Sul2</italic>, <italic>aac(3)-IV</italic>, <italic>aac(3)-II</italic>, <italic>strA</italic>, <italic>strB</italic>, <italic>qacE&#x2206;1</italic>, <italic>gyrA or parC</italic></td>
<td align="left" valign="top">Cooperation and Cultural Action Service of the French Embassy of France, Burkina Faso, and Institute Pasteur and the French government&#x2019;s Investissement d&#x2019;Avenir Programme, Laboratoire d&#x2019;Excellence &#x2018;Integrative Biology of Emerging Infectious Diseases</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref88">Soubeiga et al. (2022)</xref>
</td>
<td align="left" valign="top">Burkina Faso</td>
<td align="left" valign="top">Sesame, Salads-lettuce, mango-juice.</td>
<td align="left" valign="top">2018 to 2020</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top"><italic>Salmonella.</italic></td>
<td align="center" valign="top">1,052</td>
<td align="center" valign="top">148</td>
<td align="center" valign="top">14.07</td>
<td align="left" valign="top">Ampicillin, amoxicillin-clavulanate, cefoxitin, tetracycline, gentamicin, amikacin, chloramphenicol, trimethoprim-sulphamethoxazole and nalidixic acid</td>
<td align="left" valign="top"><italic>tetA</italic>, <italic>tetB</italic>, <italic>blaTEM</italic>, <italic>temB</italic>, <italic>sul1</italic>, <italic>sul2</italic>, <italic>and aadA</italic></td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref23">Esemu et al. (2023)</xref>
</td>
<td align="left" valign="top">Cameroon</td>
<td align="left" valign="top">Cake, bread, fruit salad, meat hot pot, suya, and boiled rice.</td>
<td align="left" valign="top">February to August 2020</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top"><italic>S. aureus</italic></td>
<td align="center" valign="top">420</td>
<td align="center" valign="top">161</td>
<td align="center" valign="top">38.33</td>
<td align="left" valign="top">Ciprofloxacin, amoxicillin, penicillin, oxacillin, erythromycin, azithromycin, clindamycin, gentamicin, and chloramphenicol</td>
<td align="left" valign="top"><italic>nuc</italic>, <italic>mecA</italic></td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref45">Mayor&#x00E9; et al. (2021)</xref>
</td>
<td align="left" valign="top">Chad</td>
<td align="left" valign="top">Minced beef sandwich</td>
<td align="left" valign="top">October 2014 and January 2018.</td>
<td align="left" valign="top">Disc diffusion</td>
<td align="left" valign="top"><italic>Salmonella.</italic></td>
<td align="center" valign="top">447</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">1.12</td>
<td align="left" valign="top">Amoxicillin, Cefotaxime, Nalidixic acid.</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Research Project and Support for Street Food Safety (&#x201C;PRASAR&#x201D;)</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref6">Alelign et al. (2023)</xref>
</td>
<td align="left" valign="top">Ethiopia</td>
<td align="left" valign="top">Sambusa, Potato Chips, Bonbolino, Koker, Ambasha</td>
<td align="left" valign="top">September 5th, 2022, to December 31st, 2022</td>
<td align="left" valign="top">Biochemical tests.</td>
<td align="left" valign="top"><italic>Mixed</italic></td>
<td align="center" valign="top">330</td>
<td align="center" valign="top">113</td>
<td align="center" valign="top">34.24</td>
<td align="left" valign="top">Ampicillin, amoxicillin-clavulanate, cefepime, ceftriaxone, meropenem, gentamicin, azithromycin, tetracycline, doxycycline, ciprofloxacin, cotrimoxazole and chloramphenicol</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Arba Minch University Research Directorate</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref92">Tesfaye et al. (2016)</xref>
</td>
<td align="left" valign="top">Ethiopia</td>
<td align="left" valign="top">Kikil, mahberawi</td>
<td align="left" valign="top">March to October, 2015</td>
<td align="left" valign="top">Bacteriological evaluation</td>
<td align="left" valign="top"><italic>Salmonella.</italic></td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">20.83</td>
<td align="left" valign="top">Ampicillin, nalidixic acid, norfloxacin, gentamicin, ciprofloxacin, streptomycin, tetracycline, kanamycin, and chloramphenicol</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref48">Moges et al. (2024)</xref>
</td>
<td align="left" valign="top">Ethiopia</td>
<td align="left" valign="top">Samosas, eggs, and salads.</td>
<td align="left" valign="top">December 2022 to February 2023</td>
<td align="left" valign="top">Standard microbiological methods</td>
<td align="left" valign="top"><italic>Staphylococcus</italic></td>
<td align="center" valign="top">350</td>
<td align="center" valign="top">186</td>
<td align="center" valign="top">53.14</td>
<td align="left" valign="top">Erythromycin, amoxicillin, streptomycin, ciprofloxacin, sulphamethoxazole-trimethoprim, and chloramphenicol</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Jimma University</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref49">Morshdy et al. (2018)</xref>
</td>
<td align="left" valign="top">Egypt</td>
<td align="left" valign="top">Meat sandwiches</td>
<td align="left" valign="top">May 2017&#x2013;April 2018</td>
<td align="left" valign="top">PCR, antibiotic susceptibility testing</td>
<td align="left" valign="top"><italic>S. aureus</italic></td>
<td align="center" valign="top">140</td>
<td align="center" valign="top">102</td>
<td align="center" valign="top">72.86</td>
<td align="left" valign="top">Ciprofloxacin, enrofloxacin, ampicillin</td>
<td align="left" valign="top"><italic>mecA</italic></td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref83">Setsoafia Saba et al. (2021)</xref>
</td>
<td align="left" valign="top">Ghana</td>
<td align="left" valign="top">Fufu</td>
<td align="left" valign="top">November 2016 to January 2017</td>
<td align="left" valign="top">Kirby&#x2013;Bauer disc diffusion</td>
<td align="left" valign="top"><italic>E. coli and Salmonella.</italic></td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">68.33</td>
<td align="left" valign="top">Ciprofloxacin, gentamicin, ceftriaxone, erythromycin, and ceftazidime</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Salary of CKSS with contribution from TP and EY</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref37">Karikari et al. (2022)</xref>
</td>
<td align="left" valign="top">Ghana</td>
<td align="left" valign="top">Salad, fufu</td>
<td align="left" valign="top">July 2015 to January 2016.</td>
<td align="left" valign="top">Kirby&#x2013;Bauer disc diffusion</td>
<td align="left" valign="top"><italic>E. coli, Salmonella</italic></td>
<td align="center" valign="top">113</td>
<td align="center" valign="top">113</td>
<td align="center" valign="top">100.00</td>
<td align="left" valign="top">Cefotaxime, ceftriaxone, ceftazidime, gentamicin, trimethoprim/sulfamethoxazole, ampicillin, Augmentin, ciprofloxacillin, tetracycline, erythromycin, cefoxitin, cefepime, and chloramphenicol.</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref52">Mwove et al. (2022)</xref>
</td>
<td align="left" valign="top">Kenya</td>
<td align="left" valign="top">Cereals, fruits, salads, and sausages.</td>
<td align="left" valign="top">September 2020 to February 2021</td>
<td align="left" valign="top">Standard microbiological methods</td>
<td align="left" valign="top"><italic>Salmonella &#x0026; Staphylococcus</italic></td>
<td align="center" valign="top">199</td>
<td align="center" valign="top">93</td>
<td align="center" valign="top">46.73</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Germany Academic Exchange Service (DAAD)</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref77">Ronald et al. (2023)</xref>
</td>
<td align="left" valign="top">Kenya</td>
<td align="left" valign="top">Meat</td>
<td align="left" valign="top">3&#x202F;months</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top"><italic>E. coli</italic></td>
<td align="center" valign="top">105</td>
<td align="center" valign="top">105</td>
<td align="center" valign="top">100.00</td>
<td align="left" valign="top">Ampicillin, streptomycin amikacin, ciprofloxacin, nitrofurantoin, co-trimoxazole, tetracycline</td>
<td align="left" valign="top"><italic>tetA</italic>, <italic>sul1</italic>, <italic>blaTEM</italic>, <italic>strA</italic></td>
<td align="left" valign="top">Centre of Excellence in Sustainable Agriculture and Agribusiness Management (CESAAM)</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref62">Oladipo and Adejumobi (2010)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Spaghetti, bean cake</td>
<td align="left" valign="top">January to December</td>
<td align="left" valign="top">Biochemical tests</td>
<td align="left" valign="top"><italic>Mixed</italic></td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">81.82</td>
<td align="left" valign="top">Amoxyllin, streptomycin, chloramphenicol, tetracycline, gentamycin, ofloxacin, augmentin, ciprofloxacin, cotrimoxazole, nitrofurantoin, ampiclox, cefroxine, and erythromycin.</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref5">Akinyem et al. (2013)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Salad, jollof rice, fried rice, beans, moimoi, dodo, white rice</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Bacteriological analysis</td>
<td align="left" valign="top"><italic>Alcaligenes</italic> spp. <italic>&#x0026; E. coli</italic></td>
<td align="center" valign="top">76</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">15.79</td>
<td align="left" valign="top">Cotrimoxazole, nalidixic acid, amoxicillin, nitrofurantoin, typhimurium, ceftazidime, cefpodoxime, and levofloxacin</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Faculty of Science, Lagos State University</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref22">Ebakota et al. (2018)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Salads</td>
<td align="left" valign="top">February to September 2015.</td>
<td align="left" valign="top">Disc diffusion, serial dilution, and pour plate techniques.</td>
<td align="left" valign="top"><italic>L. monocytogenes</italic></td>
<td align="center" valign="top">411</td>
<td align="center" valign="top">90</td>
<td align="center" valign="top">21.90</td>
<td align="left" valign="top">Nitrofurantoin, gentamicin, streptomycin, ofloxacin, ciprofloxacin, pefloxacin, amoxicillin, cloxacillin, augumentin, tetracycline, erythromycin, cefuroxime, ceftazidine and ceftriazone</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref59">Okafor-Elenwo and Imade (2020b)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Vegetable salad</td>
<td align="left" valign="top">March 2019 to October 2019</td>
<td align="left" valign="top">Bacteriological analysis</td>
<td align="left" valign="top"><italic>Mixed</italic></td>
<td align="center" valign="top">3,840</td>
<td align="center" valign="top">2,264</td>
<td align="center" valign="top">58.96</td>
<td align="left" valign="top">Cefuroxime, ampicillin, amoxicillin/clavulanic acid, ciprofloxacin, pefloxacin, ofloxacin, sparfloxacin, cotrimoxazole, gentamycin, erythromycin, and chloramphenicol</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref7">Aminu and Umeh (2014)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Meat</td>
<td align="left" valign="top">12&#x202F;months</td>
<td align="left" valign="top">Disc diffusion</td>
<td align="left" valign="top"><italic>Enterobacter &#x0026; E. coli.</italic></td>
<td align="center" valign="top">212</td>
<td align="center" valign="top">115</td>
<td align="center" valign="top">54.25</td>
<td align="left" valign="top">Nitrofurantoin, ciprofloxacin, gentamicin</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref16">Blessed (2018)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Kunun-zaki</td>
<td align="left" valign="top">May and August, 2016</td>
<td align="left" valign="top">Salmonella Shigella Agar (SSA), Kirby&#x2013;Bauer disc diffusion</td>
<td align="left" valign="top"><italic>Mixed</italic></td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">12.50</td>
<td align="left" valign="top">Ciprofloxacin, sparfloxacin, pefloxacin, tarivid, sparfloxacin.</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Ahyuwanie E. Akanet for helping out with the funds for the publication</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref3">Akinnibosun and Ojo (2015)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Salads</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Serial dilution and pour plate</td>
<td align="left" valign="top"><italic>Mixed</italic></td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">44.44</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref36">Izevbuwa and Okhuebor (2021)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Rice, soup, beans.</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Spread plate, serial dilution</td>
<td align="left" valign="top"><italic>Mixed</italic></td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">30.00</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref58">Okafor-Elenwo and Imade (2020a)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Fufu, salad</td>
<td align="left" valign="top">March 2019 to October 2019</td>
<td align="left" valign="top">Pour plate technique</td>
<td align="left" valign="top"><italic>Coliform &#x0026; Proteus, Bacillus</italic></td>
<td align="center" valign="top">640</td>
<td align="center" valign="top">512</td>
<td align="center" valign="top">80.00</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref96">Umar et al. (2024)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Vegetable salad</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Bacteriological analysis Antibiotic sensitivity assessment</td>
<td align="left" valign="top"><italic>Salmonella</italic></td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">36.00</td>
<td align="left" valign="top">Ofloxacin, chloramphenicol, ceftazidime, cotrimoxazole, ceftriaxone, and ampicillin.</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref4">Akinyele et al. (2024)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Fura, nunu, and tuwo</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Antibiotic sensitivity test</td>
<td align="left" valign="top"><italic>Salmonella</italic></td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">100.00</td>
<td align="left" valign="top">Pefloxacine, ciprofloxacine, augentin, gentamycin, streptomycin, ceporex, nalidixic acid, septrin, norfloxacin</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref35">Isic et al. (2024)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Pounded yam puff-puff, okro soup</td>
<td align="left" valign="top">April 2021</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top"><italic>Staphylococcus</italic></td>
<td align="center" valign="top">400</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">14.25</td>
<td align="left" valign="top">Oxacillin, erythromycin, chloramphenicol, clindamycin, ceftaroline, tetracycline, gentamicin, trimethoprim-sulfamethoxazole, ciprofloxacin, vancomycin, linezolid, <italic>gentamicin, rifampin, quinupristin-dalfopristin, oxazolidinones</italic> and tedizolid</td>
<td align="left" valign="top"><italic>aac(6&#x2032;)-Ib-cr</italic>, <italic>q</italic>nr<italic>A</italic>, <italic>q</italic>nr<italic>S</italic>, <italic>tet(A)</italic>, <italic>tetC</italic>, <italic>tetM</italic>, <italic>vanA</italic>, <italic>vanC</italic>, <italic>nuc</italic>, <italic>mecA</italic>, <italic>mecC</italic>, <italic>tsst-1</italic>, <italic>ermC</italic>, <italic>ermA</italic></td>
<td align="left" valign="top">The Alexander von Humboldt Foundation</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref57">Ohunayo et al. (2024)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Meat</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Biochemical tests, antibiotic sensitivity tests</td>
<td align="left" valign="top"><italic>E. coli</italic></td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">68.00</td>
<td align="left" valign="top">Augmentin, cefuroxime, nitrofurantoin, ceftazidime, cefixime, gentamicin, ciprofloxacin and ofloxacin.</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref107">Zige (2013)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Beans porridge</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Biochemical differentiation</td>
<td align="left" valign="top"><italic>Proteus</italic> spp.</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">44.44</td>
<td align="left" valign="top">Ciprofloxacin, ceftazidine, cefuroxime, gentamycin, cefixime, nitrofuratoin, augmentin</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref42">Makinde et al. (2021)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Fufu, eko</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">16S rRNA gene phylogeny, disc diffusion.</td>
<td align="left" valign="top"><italic>Klebsiella and Staphylococcus</italic></td>
<td align="center" valign="top">149</td>
<td align="center" valign="top">99</td>
<td align="center" valign="top">66.44</td>
<td align="left" valign="top">Ampicillin cephalothin aztreonam, amoxicillin/clavulanic acid, gentamicin, tetracycline, and imipenem</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">National Research Foundation South Africa</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref60">Okoli et al. (2018)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Roasted meat</td>
<td align="left" valign="top">6&#x202F;months</td>
<td align="left" valign="top">Disc diffusion, PCR</td>
<td align="left" valign="top"><italic>Staphylococcus</italic></td>
<td align="center" valign="top">255</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">9.41</td>
<td align="left" valign="top">Fusidic acid, cefoxitin, oxacillin, tetracycline, erythromycin, lincomycin, vancomycin mupirocin, sulfamethoxazole/trimethoprim, gentamicin, kanamycin, streptomycin, tobramycin</td>
<td align="left" valign="top"><italic>tetK</italic>, <italic>mecA</italic>, <italic>tetK</italic>, <italic>mphC</italic>, <italic>ermCT</italic>, <italic>ermC</italic></td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref24">Fayemi et al. (2021)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Minced meat, suya, kilishi, roasted beef and tsire</td>
<td align="left" valign="top">June&#x2013;August 2019</td>
<td align="left" valign="top">Kirby&#x2013;Bauer Disc diffusion technique, PCR.</td>
<td align="left" valign="top"><italic>E. coli</italic></td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">33.33</td>
<td align="left" valign="top">Ampicillin, ciprofloxacin, enrofloxacin, nalidixic acid, norfloxacin, streptomycin, tetracycline</td>
<td align="left" valign="top"><italic>stx1</italic>, <italic>stx2</italic>, <italic>eaeA</italic></td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref12">Beshiru and Igbinosa (2023)</xref>
</td>
<td align="left" valign="top">Nigeria</td>
<td align="left" valign="top">Jollof rice, fish pepper soup, egusi soup</td>
<td align="left" valign="top">July 2021 to February 2022</td>
<td align="left" valign="top">PCR, Kirby&#x2013;Bauer disc diffusion.</td>
<td align="left" valign="top"><italic>Vibrio parahaemolyticus</italic></td>
<td align="center" valign="top">380</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">11.05</td>
<td align="left" valign="top">Imipenem, gentamicin, azithromycin, ampicillin/sulbactam, streptomycin, nalidixic acid, cefotaxime, ceftazidime, tetracycline, chloramphenicol, trimethoprim-sulfamethoxazole, ciprofloxacin,</td>
<td align="left" valign="top"><italic>q</italic>nr<italic>B</italic>, <italic>q</italic>nr<italic>S</italic>, <italic>blaTEM</italic>, <italic>tet(A)</italic>, <italic>tet(B)</italic>, <italic>tetM</italic>, <italic>cmlA</italic>, <italic>dfrA</italic>, <italic>Sul1</italic>, <italic>Sul2</italic>, <italic>aac(3)-IV</italic>, <italic>aac(3)-II</italic>, <italic>aadA</italic>, <italic>intI2</italic>, <italic>intI1</italic></td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref9">Asiegbu et al. (2020)</xref>
</td>
<td align="left" valign="top">South Africa</td>
<td align="left" valign="top">Sandwiches salads</td>
<td align="left" valign="top">February 2016 to August 2017</td>
<td align="left" valign="top">Microbiological analyses</td>
<td align="left" valign="top"><italic>Mixed</italic></td>
<td align="center" valign="top">205</td>
<td align="center" valign="top">175</td>
<td align="center" valign="top">85.37</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Research and Innovation of the University of South Africa</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref55">Nyenje et al. (2012)</xref>
</td>
<td align="left" valign="top">South Africa</td>
<td align="left" valign="top">Vegetables, potatoes, rice, pies, beef, chicken stew.</td>
<td align="left" valign="top">August and November 2011</td>
<td align="left" valign="top">Biochemical tests, API kits.</td>
<td align="left" valign="top"><italic>Mixed</italic></td>
<td align="center" valign="top">252</td>
<td align="center" valign="top">181</td>
<td align="center" valign="top">71.83</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Govan Mbeki Research and Development Centre, University of Fort Hare</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref95">Tshipamba et al. (2018)</xref>
</td>
<td align="left" valign="top">South Africa</td>
<td align="left" valign="top">Chicken gizzard, beef intestines</td>
<td align="left" valign="top">December 2015 to April 2016</td>
<td align="left" valign="top">Molecular and disc diffusion methods</td>
<td align="left" valign="top"><italic>Mixed</italic></td>
<td align="center" valign="top">115</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">42.61</td>
<td align="left" valign="top">Streptomycin, ciprofloxacin, chloramphenicol, ampicillin tetracycline, and erythromycin.</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">National Research Foundation (NRF), South Africa</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref53">Ndunguru and Ndossi (2020)</xref>
</td>
<td align="left" valign="top">Tanzania</td>
<td align="left" valign="top">Beef soup, stiff porridge, raw vegetable salads</td>
<td align="left" valign="top">March and May 2019</td>
<td align="left" valign="top">Standard microbiological methods</td>
<td align="left" valign="top"><italic>Escherichia coli</italic></td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">67.14</td>
<td align="left" valign="top">Chloramphenicol, cefoxitin and penicillin G, carbenicillin, ciprofloxacin, clindamycin, erythromycin, gentamicin, tetracycline</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref61">Okubo et al. (2020)</xref>
</td>
<td align="left" valign="top">Uganda</td>
<td align="left" valign="top">Meat</td>
<td align="left" valign="top">February and October 2018</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top"><italic>E. coli</italic></td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">89</td>
<td align="center" valign="top">86.41</td>
<td align="left" valign="top">Ampicillin, cefazolin, cefotaxime, gentamicin, kanamycin, tetracycline, minocycline, nalidixic acid, ciprofloxacin, colistin, chloramphenicol, and sulfamethoxazole-trimethoprim.</td>
<td align="left" valign="top"><italic>tetA</italic>, <italic>tetB</italic>, <italic>tetE</italic>, <italic>tetG</italic>, <italic>Sul1</italic>, <italic>Sul2</italic></td>
<td align="left" valign="top">Japan Society for the Promotion of Science KAKENHI</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref8">Ananias and Roland (2017)</xref>
</td>
<td align="left" valign="top">Uganda</td>
<td align="left" valign="top">Chicken, beef, goat, and meat.</td>
<td align="left" valign="top">February 2014 to March</td>
<td align="left" valign="top">Laboratory analyses</td>
<td align="left" valign="top"><italic>Staphylococcus &#x0026; E. coli</italic></td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">70.00</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref73">Owoseni and Onilude (2016)</xref>
</td>
<td align="left" valign="top">Mixed West Africa countries</td>
<td align="left" valign="top">Puff-puff (fried dough), egg rolls, buns, fried chicken, fish and meat pie, dried fish and cake</td>
<td align="left" valign="top">2&#x202F;years</td>
<td align="left" valign="top">Plasmid DNA isolation, antibiotic sensitivity testing</td>
<td align="left" valign="top"><italic>Mixed</italic></td>
<td align="center" valign="top">43 Ghana n&#x202F;=&#x202F;4, Nigeria n&#x202F;=&#x202F;29, Benin n&#x202F;=&#x202F;5 and Togo n&#x202F;=&#x202F;5.</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">100.00</td>
<td align="left" valign="top">Nitrofurantoin, augmentin, norfloxacin, tetracycline, gentamycin, ciprofloxacin, chloramphenicol, ampicillin, nalidixic acid and cefuroxime</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref20">Claudious et al. (2020)</xref>
</td>
<td align="left" valign="top">Zimbabwe</td>
<td align="left" valign="top">Meat pies</td>
<td align="left" valign="top">November 2018 to April 2019</td>
<td align="left" valign="top">Kirby&#x2013;Bauer disc diffusion</td>
<td align="left" valign="top"><italic>E. coli &#x0026; coliforms</italic></td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">58.33</td>
<td align="left" valign="top">Sulphamethoxazole and gentamicin</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">No external funding</td>
<td align="center" valign="top">9</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Country distribution of antibiotic-resistant pathogenic bacteria, prevalence rates in RTE foods in Africa.</p>
</caption>
<graphic xlink:href="fmicb-16-1525564-g003.tif"/>
</fig>
</sec>
<sec id="sec18">
<title>Food types/pattern, period, and study method of antibiotic-resistant pathogenic bacteria in RTE foods</title>
<p>The primary authors reported different RTE foods; however, the most reported RTE foods were meat or beef/beef-soup, chicken or poultry products, salads, vegetable salads, sandwiches (<xref ref-type="table" rid="tab1">Table 1</xref>). A total of 32 authors reported a study period ranging from 1 month to 2&#x202F;years. All the included studies reported that the method applied comprised whole-genome sequencing, conventional PCR, serotyping, bacteriological analysis, or other standard microbiological laboratory techniques (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
</sec>
<sec id="sec19">
<title>Isolated antibiotic-resistant pathogenic bacteria in RTE foods</title>
<p>All the authors reported the isolated bacteria. Interestingly, 11 authors reported more than three bacterial isolates in their studies such as <xref ref-type="bibr" rid="ref105">Yaici et al. (2017)</xref> (<italic>E. coli</italic>, <italic>K. pneumoniae</italic>, <italic>K. oxytoca</italic>), <xref ref-type="bibr" rid="ref6">Alelign et al. (2023)</xref> (<italic>Staphylococcus aureus</italic>, <italic>Salmonella species</italic>, <italic>and E. coli</italic>), <xref ref-type="bibr" rid="ref62">Oladipo and Adejumobi (2010)</xref> (<italic>Bacillus licheniformis</italic>, <italic>Aeromonas hydrophila</italic>, <italic>Enterobacter aerogenes</italic>, <italic>Bacillus cereus</italic>, <italic>Proteus mirabilis</italic>, <italic>Pseudomonas putida</italic>, <italic>Proteus vulgaris</italic>, <italic>Pseudomonas cholororaphi and Proteus morganii</italic>), <xref ref-type="bibr" rid="ref59">Okafor-Elenwo and Imade (2020b)</xref> (<italic>Serratia</italic>, <italic>Citrobacter</italic>, <italic>Proteus</italic>, <italic>Staphylococcus and Bacillus</italic>, <italic>with Proteus</italic>), <xref ref-type="bibr" rid="ref16">Blessed (2018)</xref> (<italic>C. freundii</italic>, <italic>E. coli</italic>, <italic>P. mirabilis</italic>, <italic>P. vulgaris</italic>), <xref ref-type="bibr" rid="ref3">Akinnibosun and Ojo (2015)</xref> (<italic>E. coli</italic>, <italic>Pseudomonas aeroginosa</italic>, <italic>Staphylococcus aureus</italic>), <xref ref-type="bibr" rid="ref36">Izevbuwa and Okhuebor (2021)</xref> (<italic>E. coli</italic>, <italic>Streptococcus</italic> spp., <italic>Staphylococcus aureus</italic>, <italic>Pseudomonas aeroginosa</italic>, <italic>Salmonella</italic> spp., <italic>Enterobacterspp</italic>), <xref ref-type="bibr" rid="ref9">Asiegbu et al. (2020)</xref> (<italic>Enterobacteriaceae</italic>, <italic>L. monocytogenes</italic>, <italic>S. aureus</italic>), <xref ref-type="bibr" rid="ref95">Tshipamba et al. (2018)</xref> (<italic>Staphylococcus aureus S. aureus</italic>, <italic>Enterococcus faecalis</italic>, <italic>Planomicrobium glaciei</italic>), <xref ref-type="bibr" rid="ref73">Owoseni and Onilude (2016)</xref> (<italic>Citrobacter</italic>, <italic>Edwardsiella</italic>, <italic>Enterobacter</italic>, <italic>Escherichia coli</italic>, <italic>Klebsiella</italic>, <italic>Proteus</italic>, <italic>Salmonella</italic>, <italic>Serratia</italic>, <italic>and Shigella</italic>). Of all these different bacteria in any study, more than three were classified as mixed antibiotic-resistant pathogenic bacteria of public health significance. All other authors reported one or two antibiotic-resistant pathogenic bacteria in their studies, which are included in the scoping review in <xref ref-type="fig" rid="fig4">Figure 4</xref> and <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>The heatmap analysis of the RTE foods samples on antibiotic-resistant pathogenic bacteria, prevalence rates, and resistance genes in RTE-foods. Black&#x202F;=&#x202F;author and antibiotic-resistant pathogenic bacteria reported. Yellow&#x202F;=&#x202F;not present. S_MJ&#x202F;=&#x202F;Salads, mango-juice. C_B_FS_MHP_S_BR&#x202F;=&#x202F;Cake, bread, fruit-salad, meat-hot-pot, suya, boiled-rice. M_B_S&#x202F;=&#x202F;Minced beef sandwich. S_PC_B_K_A&#x202F;=&#x202F;Sambusa, Potato-Chips, Bonbolino, Koker, Ambasha. C_F_S_S&#x202F;=&#x202F;Cereals, fruits, salads, sausages. S_JR_FR_B_M_D_WR&#x202F;=&#x202F;salad, jollof-rice, fried-rice, beans, moimoi, dodo, white-rice. PY_PP_OS&#x202F;=&#x202F;Pounded-Yam Puff-Puff, Okro-soup. MM_S_K_RB_T&#x202F;=&#x202F;Minced-meat, suya, kilishi, roasted-beef and tsire. JR_FPS_ES&#x202F;=&#x202F;Jollof-rice, fish-pepper-soup, Egusi-soup V_P_R_P_B_CS&#x202F;=&#x202F;Vegetables, potatoes, rice, pies, beef, chicken-stew. C_G_BI&#x202F;=&#x202F;Chicken gizzard, beef-intestines. B-S_S-P_RVS&#x202F;=&#x202F;Beef-soup, stiff-porridge, raw-vegetable-salads. C_B_G_M&#x202F;=&#x202F;chicken, beef, goat, meat. P-P_E_R&#x202F;=&#x202F;Puff-puff, egg rolls.</p>
</caption>
<graphic xlink:href="fmicb-16-1525564-g004.tif"/>
</fig>
</sec>
<sec id="sec20">
<title>Antibiotic susceptibility patterns and resistance genes against antibiotic-resistant pathogenic bacteria in RTE foods</title>
<p>A total of 30 authors of the included studies reported the antibiotic susceptibility patterns of 48 antibiotics used to manage pathogenic bacterial infections following the CLSI protocols. The antibiotics reported are amoxicillin, amoxicillin-clavulanic acid, ampicillin, Augmentin, azithromycin, benzylpenicillin, carbenicillin, cefepime, cefotaxime, cefoxitin, cefpodoxime, ceftaroline, ceftazidime, cefixime, ceftriaxone, cephalothin, cefuroxime, chloramphenicol, ciprofloxacin, clindamycin, cloxacillin, cotrimoxazole, doxycycline, enrofloxacin, erythromycin, fusidic acid, gentamycin, imipenem, kanamycin, levofloxacin, linezolid, nalidixic acid, nitrofurantoin, norfloxacin, ofloxacin, oxacillin, pefloxacin, penicillin G., sparfloxacin, streptomycin, sulphamethoxazole, tedizolid, teicoplanin, tetracycline, trimethoprim, trimethoprim-sulfamethoxazole, typhimurium and vancomycin. A heatmap cluster analysis highlighted the antibiotics used for bacterial isolates in each study. The two colours in the heatmap denote susceptibility patterns, such as intermediate/dose-dependent and resistance, represented with black, whereas those studies that did not report any pattern were denoted with yellow of isolates (<xref ref-type="fig" rid="fig5">Figure 5A</xref>). The countries&#x2019; distribution of resistance bacteria isolates to the antibiotics recovered from the RTE food among the reported studies showed Nigeria samples to have high resistance to ampicillin (4,159), cefuroxime (4,150), chloramphenicol (2,108), cotrimoxazole (2,241), gentamycin (2,302), and branded amoxicillin/clavulanic acid (1,346). Studies in Ghana showed resistance to ceftazidime (85), ceftriaxone (78), and sulphametoxazole trimethoprim (73), and ampicillin (58) isolates. Studies in Ethiopia have reported isolates resistant to erythromycin (162), ampicillin (91) and amoxicillin (68), as shown in <xref ref-type="fig" rid="fig5">Figure 5B</xref>.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p><bold>(A)</bold> The heatmap analysis of the susceptibility pattern on antibiotic-resistant pathogenic bacteria, prevalence rates, and resistance genes in RTE-foods. Black&#x202F;=&#x202F;intermediate/dose-dependent, and yellow&#x202F;=&#x202F;do not report any susceptibility pattern of isolates. <bold>(B)</bold> The countries distribution of resistance antibiotics on antibiotic-resistant pathogenic bacteria, prevalence rates, and resistance genes in RTE-foods. ampicillin/ST&#x202F;=&#x202F;ampicillin/sulbactam, amoxicillinCA&#x202F;=&#x202F;amoxicillin/clavulanic acid, QuinupristinD&#x202F;=&#x202F;Quinupristin-dalfopristin SulphametoxazoleT&#x202F;=&#x202F;Sulphametoxazole&#x2013;trimethoprim. <bold>(C)</bold> The heatmap analysis of the resistant genes on antibiotic-resistant pathogenic bacteria, prevalence rates, and resistance genes in RTE-foods. Black&#x202F;=&#x202F;Present of the tested resistant genes, yellow&#x202F;=&#x202F;not Present. <bold>(D)</bold> The countries&#x2019; distribution of resistance genes on antibiotic-resistant pathogenic bacteria, prevalence rates, and resistance genes in RTE-foods.</p>
</caption>
<graphic xlink:href="fmicb-16-1525564-g005.tif"/>
</fig>
<p>Similarly, 10 authors reported resistance genes in seven nations in their studies, such as <italic>aac3II, aac3IV, aac6Ibcr, aad7, aadA, blaCTXM, blaSHV, blaTEM, catA1, cmlA, dfrA, ermC, ermT, intI1, intI2, IpaH, mecA, mecC, mphC, oxqAB, qnrA, qnrS, strA, strB, sul1, sul2, temB, tetA, tetB, tetK</italic> and <italic>tetM</italic> (<xref ref-type="fig" rid="fig5">Figure 5C</xref>). The majority of the resistance genes (<italic>blaCTX-M-1, blaCTX-M-15, blaCTX-M-14, blaCTX-M-2, blaSHV-2, blaSHV12, blaCTX-M-1, blaCMY-2, aac(6&#x2032;)-Ib-cr, oqxA, oqxB, qnrB, qnrS</italic>) were reported in Algeria samples in <xref ref-type="fig" rid="fig5">Figure 5D</xref> and code for resistance to antibiotics such as beta-lactams (penicillins, cephalosporins, carbapenems), quinolones and glycopeptides (<xref ref-type="table" rid="tab2">Table 2</xref>). In Nigeria, samples were observed to have several genes, namely, <italic>qnrA, qnrS, temB, blaTEM, tet(A), tet(B), tetM, cmlA, dfrA, Sul1, Sul2, aac(3)-IV, aac(3)-II, aadA, nuc, mecA, tsst-1, intI2, intI1, tetK, mphC</italic>, <italic>ermT,</italic> and <italic>ermC</italic> (<xref ref-type="fig" rid="fig5">Figure 5D</xref>) that are responsible for quinolones, penicillins, tetracyclines, chloramphenicol, aminoglycosides, sulphonamides, glycopeptides, nitrofurantoin, and macrolides (<xref ref-type="table" rid="tab2">Table 2</xref>). In Burkina Faso, the studies show about seven resistance genes, <italic>temB, blaTEM, tet(A), tet(B), Sul1, Sul2</italic> and <italic>aadA</italic> (<xref ref-type="fig" rid="fig5">Figure 5D</xref>) and that engenders resistance to beta-lactams (penicillins, cephalosporins, and carbapenems) and sulphonamides. In Cameroon, the included studies show two prevalence resistance genes: nuc and mecA, which implies resistance to oxacillin. In Kenya, <italic>blaTEM, tet(A), Sul1</italic>, and <italic>strA</italic> are the prevalent genes accountable for resistance to beta-lactams (penicillins, cephalosporins, and carbapenems) and sulphonamides. In Uganda, studies have shown the occurrence of <italic>tet(A), tet(B), tetE, tetG, Sul1,</italic> and <italic>Sul2</italic> responsible for the resistance we find in tetracycline and sulphonamides. Egypt&#x2019;s study shows sea and sec resistance genes for glycopeptides, as shown in <xref ref-type="fig" rid="fig5">Figure 5D</xref> and <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>The summary of resistance genes based on antibiotic classes in antibiotic-resistant pathogenic bacteria, prevalence rates, and resistance genes in RTE foods.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Antibiotic classes</th>
<th align="left" valign="top">Resistance genes</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Beta-Lactams (Penicillins, Cephalosporins, Carbapenems)</td>
<td align="left" valign="top"><italic>blaCTX-M-1, blaCTX-M-15, blaCTX-M-14, blaCTX-M-2, blaSHV-2, blaSHV12, blaTEM, temB</italic></td>
</tr>
<tr>
<td align="left" valign="top">Macrolides</td>
<td align="left" valign="top"><italic>ermT, ermC, mphC</italic></td>
</tr>
<tr>
<td align="left" valign="top">Tetracyclines</td>
<td align="left" valign="top"><italic>tet(A), tet(B), tetE, tetG, tetM, tetK</italic></td>
</tr>
<tr>
<td align="left" valign="top">Quinolones</td>
<td align="left" valign="top"><italic>aac(6&#x2032;)-Ib-cr, oqxA, oqxB, qnrA, qnrB, qnrS, gyrA and parC</italic></td>
</tr>
<tr>
<td align="left" valign="top">Aminoglycosides</td>
<td align="left" valign="top"><italic>aac(3)-IV, aac(3)-II, aadA, strA</italic></td>
</tr>
<tr>
<td align="left" valign="top">Chloramphenicol</td>
<td align="left" valign="top"><italic>cmlA</italic></td>
</tr>
<tr>
<td align="left" valign="top">Sulphonamides</td>
<td align="left" valign="top"><italic>dfrA, Sul1, Sul2</italic></td>
</tr>
<tr>
<td align="left" valign="top">Glycopeptides</td>
<td align="left" valign="top"><italic>sed, see</italic></td>
</tr>
<tr>
<td align="left" valign="top">Rifampin</td>
<td align="left" valign="top"><italic>mecA</italic></td>
</tr>
<tr>
<td align="left" valign="top">Fusidic acid</td>
<td align="left" valign="top"><italic>fsa</italic></td>
</tr>
<tr>
<td align="left" valign="top">Lincosamides</td>
<td align="left" valign="top"><italic>ermT, ermC</italic></td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Miscellaneous antibiotics</td>
</tr>
<tr>
<td align="left" valign="top">Linezolid, tedizolid</td>
<td align="left" valign="top"><italic>selJ, selY, selD</italic></td>
</tr>
<tr>
<td align="left" valign="top">Nitrofurantoin</td>
<td align="left" valign="top"><italic>intI2, intI1</italic></td>
</tr>
<tr>
<td align="left" valign="top">Quinupristin-dalfopristin</td>
<td align="left" valign="top"><italic>selX</italic></td>
</tr>
<tr>
<td align="left" valign="top">Quaternary ammonium compounds (QACs)</td>
<td align="left" valign="top"><italic>qacE&#x2206;1</italic></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>gyrA and parC are target mutations.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec21">
<title>Funders of antibiotic-resistant pathogenic bacteria in RTE foods</title>
<p>Only 15 authors in the included studies received funding and support for research on antibiotic-resistant pathogenic bacteria in RTE foods. <xref ref-type="bibr" rid="ref105">Yaici et al. (2017)</xref> by the French Agency for food, environmental and Occupational Health Safety (ANSES), <xref ref-type="bibr" rid="ref54">Nikiema et al. (2021)</xref> by Cooperation and Cultural Action Service of the French Embassy of France, Burkina Faso and Institute Pasteur and the French government&#x2019;s Investissement d&#x2019;Avenir Programme, Laboratoire d&#x2019;Excellence &#x2018;Integrative Biology of Emerging Infectious Diseases, <xref ref-type="bibr" rid="ref45">Mayor&#x00E9; et al. (2021)</xref> by Research Project and Support for Street Food Safety (&#x201C;PRASAR&#x201D;), <xref ref-type="bibr" rid="ref6">Alelign et al. (2023)</xref> by Arba Minch University Research Directorate, <xref ref-type="bibr" rid="ref48">Moges et al. (2024)</xref> by Jimma University, <xref ref-type="bibr" rid="ref83">Setsoafia Saba et al. (2021)</xref> by Salary of CKSS with contribution from TP and EY, <xref ref-type="bibr" rid="ref52">Mwove et al. (2022)</xref> by Germany Academic Exchange Service (DAAD), <xref ref-type="bibr" rid="ref77">Ronald et al. (2023)</xref> by Centre of Excellence in Sustainable Agriculture and Agribusiness Management (CESAAM), <xref ref-type="bibr" rid="ref5">Akinyem et al. (2013)</xref> by Faculty of Science, Lagos State University, <xref ref-type="bibr" rid="ref16">Blessed (2018)</xref> by Ahyuwanie. E. Akanet for the publication funds, <xref ref-type="bibr" rid="ref35">Isic et al. (2024)</xref> by The Alexander von Humboldt Foundation, <xref ref-type="bibr" rid="ref42">Makinde et al. (2021)</xref> by National Research Foundation South Africa, <xref ref-type="bibr" rid="ref9">Asiegbu et al. (2020)</xref> by Research and Innovation of the University of South Africa, <xref ref-type="bibr" rid="ref55">Nyenje et al. (2012)</xref> by Govan Mbeki Research and Development Centre, University of Fort Hare, <xref ref-type="bibr" rid="ref95">Tshipamba et al. (2018)</xref> by National Research Foundation (NRF), South Africa.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec22">
<title>Discussion</title>
<p>Microbial contamination is a metric for the efficacy of food safety practices, recognized worldwide as a conduit for pathogen transmission. This scoping review indicated that all the included articles were presented with high population cases of antibiotic-resistant pathogenic bacteria in RTE food at varied degrees of contamination and are classified as unsatisfactory regarding microbiological quality. This findings from several researchers indicate that RTE street foods in the African and resource-limited nations harbour enteric pathogens and is a significant concern to public health system as well reservoir of spread of antibiotic resistance (<xref ref-type="bibr" rid="ref62">Oladipo and Adejumobi, 2010</xref>; <xref ref-type="bibr" rid="ref55">Nyenje et al., 2012</xref>; <xref ref-type="bibr" rid="ref5">Akinyem et al., 2013</xref>; <xref ref-type="bibr" rid="ref107">Zige, 2013</xref>; <xref ref-type="bibr" rid="ref7">Aminu and Umeh, 2014</xref>; <xref ref-type="bibr" rid="ref3">Akinnibosun and Ojo, 2015</xref>; <xref ref-type="bibr" rid="ref73">Owoseni and Onilude, 2016</xref>; <xref ref-type="bibr" rid="ref92">Tesfaye et al., 2016</xref>; <xref ref-type="bibr" rid="ref105">Yaici et al., 2017</xref>; <xref ref-type="bibr" rid="ref8">Ananias and Roland, 2017</xref>; <xref ref-type="bibr" rid="ref22">Ebakota et al., 2018</xref>; <xref ref-type="bibr" rid="ref49">Morshdy et al., 2018</xref>; <xref ref-type="bibr" rid="ref60">Okoli et al., 2018</xref>; <xref ref-type="bibr" rid="ref95">Tshipamba et al., 2018</xref>; <xref ref-type="bibr" rid="ref16">Blessed, 2018</xref>; <xref ref-type="bibr" rid="ref53">Ndunguru and Ndossi, 2020</xref>; <xref ref-type="bibr" rid="ref58">Okafor-Elenwo and Imade, 2020a</xref>, <xref ref-type="bibr" rid="ref59">2020b</xref>; <xref ref-type="bibr" rid="ref61">Okubo et al., 2020</xref>; <xref ref-type="bibr" rid="ref9">Asiegbu et al., 2020</xref>; <xref ref-type="bibr" rid="ref20">Claudious et al., 2020</xref>; <xref ref-type="bibr" rid="ref24">Fayemi et al., 2021</xref>; <xref ref-type="bibr" rid="ref36">Izevbuwa and Okhuebor, 2021</xref>; <xref ref-type="bibr" rid="ref42">Makinde et al., 2021</xref>; <xref ref-type="bibr" rid="ref45">Mayor&#x00E9; et al., 2021</xref>; <xref ref-type="bibr" rid="ref46">Mekhloufi et al., 2021</xref>; <xref ref-type="bibr" rid="ref54">Nikiema et al., 2021</xref>; <xref ref-type="bibr" rid="ref83">Setsoafia Saba et al., 2021</xref>; <xref ref-type="bibr" rid="ref37">Karikari et al., 2022</xref>; <xref ref-type="bibr" rid="ref52">Mwove et al., 2022</xref>; <xref ref-type="bibr" rid="ref88">Soubeiga et al., 2022</xref>; <xref ref-type="bibr" rid="ref23">Esemu et al., 2023</xref>; <xref ref-type="bibr" rid="ref6">Alelign et al., 2023</xref>; <xref ref-type="bibr" rid="ref77">Ronald et al., 2023</xref>; <xref ref-type="bibr" rid="ref12">Beshiru and Igbinosa, 2023</xref>; <xref ref-type="bibr" rid="ref4">Akinyele et al., 2024</xref>; <xref ref-type="bibr" rid="ref35">Isic et al., 2024</xref>; <xref ref-type="bibr" rid="ref48">Moges et al., 2024</xref>; <xref ref-type="bibr" rid="ref96">Umar et al., 2024</xref>). The notable progress in research concerning antibiotic-resistant pathogenic bacteria in RTE food could be influenced by the significance of the global threat of bacterial resistance and the emergence of infectious pathogens and outbreaks. The greater number of publication funds in Nigeria may be due to the greater number of universities and research institutions in Nigeria compared to other nations. Moreover, the level of educational attainment by the population surpasses that of other countries (<xref ref-type="bibr" rid="ref90">Tanko et al., 2020</xref>). Other nations have very low research output on antibiotic-resistant pathogenic bacteria in RTE food, which could be elucidated by the fact that most African nations disseminate their research articles in local journals that are not listed or indexed in international databases.</p>
<p>This review underscores the public health risks posed by antibiotic-resistant bacteria in RTE foods, which contribute to foodborne illnesses in Africa. This specific focus on foodborne bacteria is associated with the emergence of resistance reported in environmental domains in recent years by various investigations. The bacteria present in these regions are identical to those associated with food linked to human activity, which may facilitate the development of multidrug-resistant bacteria. Different categories of food commodities have been recognized as highly consumed, as evidenced by the volume of publications concerning RTE food contamination. It can be asserted that food safety information in Africa is inadequate and disjointed, stemming from insufficient surveillance, documentation, and reporting. Furthermore, it reflects and agrees with the report of <xref ref-type="bibr" rid="ref74">Paudyal et al. (2017)</xref> of poor or inefficient resource utilization, activity duplication, and a lack of synergy among countries in the African region. Our scoping review identified several primary categories of RTE food: chicken or poultry products, meat or beef/beef soup, and animal products and vegetables, including salads, sandwiches, and others. However, animal-derived food, such as poultry and meat products, has been widely identified as a source of illness and infections (<xref ref-type="bibr" rid="ref84">Shange et al., 2019</xref>; <xref ref-type="bibr" rid="ref87">Somda et al., 2023</xref>). The presence of enterobacteria in raw vegetable salads is due to their extensive distribution in soil, water, animal and human intestines, and plants. Some enterobacteria are naturally found in vegetable flora (<xref ref-type="bibr" rid="ref79">Sagoo et al., 2003</xref>; <xref ref-type="bibr" rid="ref93">Toe et al., 2017</xref>; <xref ref-type="bibr" rid="ref87">Somda et al., 2023</xref>). At the same time, there are no EU or US criteria for <italic>Enterobacteriaceae</italic> in salad vegetables, as they naturally present in high quantities.</p>
<p>Epidemiological studies indicate that RTE foods are the primary sources of infectious diseases caused by <italic>Campylobacter</italic>, <italic>Yersinia</italic>, <italic>E. coli</italic>, <italic>Salmonella nontyphoidal</italic>, and several other pathogens, particularly in low-income nations in Africa. This scoping review indicated that <italic>E. coli</italic>, <italic>Salmonella</italic> spp., and <italic>Staphylococcus</italic> spp. were predominantly responsible for African food contamination during the study period. Most of the articles evaluated indicated that food contamination by microorganisms is associated with inadequate or violations of hygienic regulations in either handling or preparation. Moreover, pathogen-induced food contamination may be associated with the quality of raw materials, water, environment, and the existence of reservoirs and vectors in or next to food production or service locations (<xref ref-type="bibr" rid="ref29">Igbinosa et al., 2017</xref>; <xref ref-type="bibr" rid="ref30">Igere et al., 2022a</xref>; <xref ref-type="bibr" rid="ref66">Onohuean and Igere, 2022</xref>; <xref ref-type="bibr" rid="ref68">Onohuean and Nwodo, 2023a</xref>).</p>
<p>The public health system in the study region is generally threatened by the consumption of pathogens that contaminate RTE foods. This has been impacted by the increased use of antibiotics, particularly in populations at high risk of illness and life-threatening conditions. Aggravated by the impoverished settings of many African nations, antibiotics are indiscriminately used and sold in public spaces. All these variables significantly contribute to the proliferation of bacterial resistance to antibiotics. Furthermore, adverse economic conditions correlate with malnutrition, lack of access to safe drinking water, and poor hygiene; these are prevalent factors among populations in resource-limited countries that face an increased risk of infection and the transmission of resistant bacteria. In addition, antibiotic-resistant bacteria can infect humans through various situations: indirectly via the food chain through the ingestion of contaminated RTE foods or through direct contact with colonized or infected animals or biological materials such as blood, urine, faeces, saliva, semen, etc. (<xref ref-type="bibr" rid="ref17">Cassini et al., 2019</xref>).</p>
<p>In this scoping review, <italic>E. coli</italic>, <italic>Salmonella</italic>, and <italic>Staphylococcus</italic> were frequently isolated resistance bacteria and were more implicated in foodborne infectious diseases, in agreement with previous findings (<xref ref-type="bibr" rid="ref1">Adefisoye and Okoh, 2016</xref>; <xref ref-type="bibr" rid="ref29">Igbinosa et al., 2017</xref>; <xref ref-type="bibr" rid="ref14">Beshiru et al., 2020</xref>; <xref ref-type="bibr" rid="ref66">Onohuean and Igere, 2022</xref>; <xref ref-type="bibr" rid="ref12">Beshiru and Igbinosa, 2023</xref>). Several antibiotics are engaged in the management of related illnesses, thereby impacting the use of antibiotics and developing resistance to these bacteria. This indicates the overuse of antibiotics in agriculture, veterinary care, and humans. The various analyzed articles indicate the occurrence of genes including <italic>tetA, tetB, tetC</italic>, and <italic>tetK</italic>, which confer resistance to tetracycline, as well as <italic>blaTEM</italic>, <italic>catA1</italic>, <italic>cmlA</italic>, <italic>blaCTXM</italic>, and genes associated with quinolone resistance (<italic>qnrA, qnrB, qnrS, parC,</italic> and <italic>qep</italic>), similar to the findings by <xref ref-type="bibr" rid="ref29">Igbinosa et al. (2017)</xref> and <xref ref-type="bibr" rid="ref39">Kimera et al. (2020)</xref>. However, few studies have reported resistance signatures or gene coding in isolated bacteria. This implies that analytical laboratories in many nations that were examined in this study lack sufficient technology, rendering them unable to identify specific genes associated with antibiotic resistance. Some experts assert that employing sophisticated techniques like whole genome sequencing may enhance the comprehension of the quantity, dissemination, and development of multidrug-resistant organisms.</p>
<p>The proliferation of resistance <italic>CTX-M</italic> in RTE foods is primarily attributed to human activities, as the majority of <italic>E. coli CTX-M</italic>, particularly the producer of the enzyme <italic>CTX-M-15</italic>, circulates clonally, which dominate the dominant faecal <italic>E. coli</italic> clones in humans, such as <italic>ST131, ST95, ST69, ST393, ST405,</italic> and <italic>ST10</italic> (<xref ref-type="bibr" rid="ref85">Sharma et al., 2020</xref>; <xref ref-type="bibr" rid="ref10">Aworh et al., 2021</xref>). Another potential cause of increased antibiotic resistance in RTE food may be linked to resistance genes present in sewage, water or wastewater, soil and environmental indices (<xref ref-type="bibr" rid="ref31">Igere et al., 2020</xref>, <xref ref-type="bibr" rid="ref34">2024</xref>; <xref ref-type="bibr" rid="ref70">Onohuean et al., 2021</xref>), especially genes such as [<italic>aadA, blaOXA, blaOXA, erm (B), erm (F), mef (A), mph (E), sul1, sul3, clust, tet (39), tet (Q), tet (W)</italic>]. Interestingly, these wastewater or sewage systems are used for the direct irrigation of crops, particularly in the urban centres of numerous African cities, and are occasionally discharged into streams and rivers that humans and animals ingest in Africa. Studies from different African nations have indicated that <italic>Staphylococcus</italic> isolated from various sources (pigs, pig carcasses, chicken and handler&#x2019;s carcasses) carry the <italic>mecA</italic> gene (<xref ref-type="bibr" rid="ref28">Igbinosa et al., 2016</xref>; <xref ref-type="bibr" rid="ref60">Okoli et al., 2018</xref>; <xref ref-type="bibr" rid="ref72">Ouoba et al., 2019</xref>; <xref ref-type="bibr" rid="ref44">Mamfe et al., 2021</xref>; <xref ref-type="bibr" rid="ref87">Somda et al., 2023</xref>). <xref ref-type="bibr" rid="ref28">Igbinosa et al. (2016)</xref> provided a comprehensive identification of <italic>Staphylococci</italic> in meat, which is frequently associated with inadequate hygienic measures during slaughtering, shipping, processing, storage, and retail by those engaged in the production process. However, the <italic>mecA</italic> gene encodes a penicillin-binding protein (PBP2a) that is linked to a markedly reduced affinity for beta-lactams. Its presence induces methicillin resistance in Staphylococcus (<xref ref-type="bibr" rid="ref28">Igbinosa et al., 2016</xref>; <xref ref-type="bibr" rid="ref87">Somda et al., 2023</xref>). <italic>qacE&#x0394;1</italic> is prevalent for the QAC resistance gene in Gram-negative bacteria and a deletion mutation of <italic>qacE</italic> (<xref ref-type="bibr" rid="ref27">Hrovat et al., 2023</xref>).</p>
<p>Furthermore, the selection of antibiotics and patterns of antimicrobial consumption in some geographical locations in Africa are influenced by food, animal species, regional production patterns, types of farming systems (intensive or extensive), farming purposes (commercial, industrial, or domestic), coupled with the absence of a definitive legislative framework or policies regarding antibiotic use, as well as the size and socioeconomic status of the population, particularly among farmers, depicts the finding of the resistance genes. Resistance genes originating from agricultural environments are transferred to human diseases through lateral gene transfer.</p>
<p>In many African nations, antibiotics are readily available, like other over-the-counter drugs (OTC), coupled with self-prescription, resulting in overuse and abuse. Moreover, poverty compels most individuals in low-come settings to purchase cheap antibiotics to treat their ailments rather than incurring expenses from hospitals for proper diagnosis prior to antibiotic treatment. This scoping review indicates that only a limited number of antibiotics remain effective against various infections caused by pathogens. A multitude of reasons may elucidate these findings. Improper regulations for antibiotics, lack of antimicrobial awareness among the population, poor public health facilities in limited resources settings, inadequate and efficient health professionals, poor diagnostics and technological advances, self-health management, etc. The high cost of restricted antibiotics, which are typically regarded as a last resort, is used for critical cases of bacterial infections. Implementing measures to monitor the residual antibiotics that remain effective against these bacterial infections is imperative. As discussed above, the significant factors influencing AMR in Africa include the socioeconomic fallout, such as poverty, inadequate healthcare infrastructure, lack of education and awareness, availability of OTC antibiotics, urbanization, and population.</p>
<p>Our scoping analysis indicated that antibiotic-resistant pathogenic bacteria in RTE food research have not gained comprehensive financing and support from government entities, non-profit organizations, agencies, institutions, universities, commercial corporations, and pharmaceutical businesses. This has also impacted the progress in research and antibiotic epidemiological surveillance in poorly reported African nations. However, interrelationships among donors, funders, policymakers, and support teams are essential for progress, refining strategies, implementing initiatives, promoting stakeholder consultations, as advised by the African community, and ensuring accountability. Furthermore, it is essential to implement a proactive engagement strategy for stakeholders to mitigate the potential threat of bacterial resistance to antibiotics. The lessons from this contribution of this scoping review to the delinquency of multidrug resistance imply that the presence of antibiotic-resistant pathogenic bacteria in RTE foods considerably worsens the problem of multidrug resistance (MDR). The existence of these bacteria not only presents a direct health hazard but also enables the transmission of resistance genes to human infections, thereby complicating therapeutic alternatives. For instance, 43.5% of coagulase-negative <italic>staphylococci</italic> (CoNS) strains remained identified as multidrug-resistant (<xref ref-type="bibr" rid="ref18">Chaj&#x0119;cka-Wierzchowska et al., 2023</xref>), and more than 95% of <italic>E. coli</italic> bacteria from RTE foods exhibited multidrug resistance, demonstrating elevated resistance levels to prevalent medicines such as tetracycline and ampicillin (<xref ref-type="bibr" rid="ref106">Zhang et al., 2021</xref>; <xref ref-type="bibr" rid="ref66">Onohuean and Igere, 2022</xref>). Of significant importance, the mobile genetic elements (MGEs) essential for the horizontal transfer of antibiotic resistance genes have been identified in <italic>Enterococcus faecium</italic> UC7251, which is isolated from RTE food and contains plasmids that enable the transfer of resistance genes (<xref ref-type="bibr" rid="ref11">Belloso Daza et al., 2022</xref>). The existence of plasmid-mediated colistin resistance in <italic>E. coli</italic> underscores the capacity of these genes to disseminate swiftly from bacterial to human populations (<xref ref-type="bibr" rid="ref106">Zhang et al., 2021</xref>).</p>
<p>AMR is associated with increased morbidity and mortality, with forecasts indicating up to 10 million fatalities per year by 2050 if current trends persist (<xref ref-type="bibr" rid="ref89">Tang et al., 2023</xref>). Globally, AMR has become a critical global health issue, with increasing resistance to commonly used antibiotics threatening to undermine advances in medicine. Global trends in AMR reflect a rise in infections caused by resistant bacteria, driven by factors such as the overuse and misuse of antibiotics in healthcare and agriculture, poor sanitation, and inadequate infection control measures (<xref ref-type="bibr" rid="ref101">WHO, 2023</xref>). Studies have shown that resistance is not confined to any region but is a global phenomenon affecting both high-income countries (e.g., the US and Europe) and low- and middle-income countries (LMICs) (<xref ref-type="bibr" rid="ref81">Samtiya et al., 2022</xref>; <xref ref-type="bibr" rid="ref80">Salam et al., 2023</xref>). In LMICs, the situation is often exacerbated by limited access to effective antibiotics, weak regulatory frameworks, and insufficient public health infrastructure (<xref ref-type="bibr" rid="ref80">Salam et al., 2023</xref>). The RTE food industry has emerged as a significant pathway for the transmission of resistant pathogens, with studies suggesting that foodborne bacteria, particularly from animal products, can contribute to the spread of AMR (<xref ref-type="bibr" rid="ref21">Concei&#x00E7;&#x00E3;o et al., 2023</xref>; <xref ref-type="bibr" rid="ref25">Grudlewska-Buda et al., 2023</xref>; <xref ref-type="bibr" rid="ref77">Ronald et al., 2023</xref>). Global surveillance data from WHO and the Centers for Disease Control and Prevention (CDC) indicate widespread resistance, especially to common pathogens like <italic>E. coli</italic>, <italic>Salmonella</italic>, and <italic>Staphylococcus aureus</italic> (<xref ref-type="bibr" rid="ref100">WHO, 2020</xref>; <xref ref-type="bibr" rid="ref50">Murray et al., 2022</xref>). This is compounded by the slow development of new antibiotics, creating an urgent need for more substantial prevention, monitoring, and treatment strategies across the food, healthcare, and environmental sectors. In addition, the financial ramifications of AMR are significant, with potential losses reaching trillions of dollars attributable to healthcare expenditures and diminished productivity (<xref ref-type="bibr" rid="ref2">Ahmed et al., 2024</xref>), with a more significant consequence in low-income nations in their already poor and over-stressed medical health systems.</p>
<p>Going forward, a single health approach that involving an integrated interdisciplinary approach encompassing human, animal, and environmental health is crucial for efficient antimicrobial resistance management. Lessons learned from the four successful nations of Denmark, the United Kingdom (UK), the Netherlands, and Sweden on AMR mitigation strategies could strengthen and impact positive African outcomes. For instance, Denmark and Sweden&#x2019;s strategy for AMR emphasized stringent rules governing antibiotic use in humans and animals (<xref ref-type="bibr" rid="ref40">Levy, 2014</xref>; <xref ref-type="bibr" rid="ref102">Wierup et al., 2021</xref>; <xref ref-type="bibr" rid="ref76">Regeringskansliet, 2024</xref>; <xref ref-type="bibr" rid="ref103">Wu, 2024</xref>). Denmark implemented policies to limit the use of antibiotics for growth promotion in animals, combined with surveillance programs to monitor antibiotic consumption and resistance patterns. The UK has an AMR policy that covers healthcare, agriculture, and the environment. The &#x201C;UK Five-Year Action Plan for AMR&#x201D; promotes antibiotic alternatives in agriculture, stewardship, and public awareness. This method has greatly reduced the number of human antibiotic prescriptions and associated resistance (<xref ref-type="bibr" rid="ref15">Blake et al., 2022</xref>). Whereas, the Netherlands leverage on &#x201C;One Health&#x201D; approach to AMR by integrating human, animal, and environmental health sectors. By reducing antibiotic use in both human medicine and livestock, and by promoting alternative therapies, the country has reduced AMR, particularly in farm animals (<xref ref-type="bibr" rid="ref71">Ooms et al., 2023</xref>). Therefore, stockholders in the African region must develop and implement short-, medium-, and long-term strategies that encompass one health approach. Furthermore, improving public awareness and education about AMR determinants and advocating for regulations on ethical antibiotic use are essential for addressing this problem. Other actionable recommendations for policymakers include establishing or improving national and global AMR surveillance networks to monitor AMR trends in humans, animals, and food products. Moreover, given the global nature of AMR, international cooperation is essential. Policymakers should collaborate through frameworks like the WHO&#x2019;s Global Action Plan on AMR to ensure consistent policies and shared resources. Policymakers should incentivize public-private partnerships to accelerate innovation in combating resistant pathogens. Increased funding for developing vaccines, new antibiotics, alternative treatments (e.g., bacteriophages), and diagnostic tools is crucial.</p>
<sec id="sec23">
<title>Limitations of the study</title>
<p>The keywords for data collection may have constrained the research focus and omitted grey literatures that does not index the databases used, which may provide unique insights or contain emerging trends, novel findings, and data that could influence the interpretation of antibiotic resistance patterns. Again, grey literature often includes unpublished studies, government reports, conference proceedings, theses, and other non-peer-reviewed sources, which may contain valuable data not indexed in traditional databases. However, we are confident that the evidence synthesized from Scopus, WoS, PubMed, and Handpicked based on a literature reference search could provide an insightful picture of the research landscape on antimicrobial-resistance pathogens and resistance genes in RTE foods in Africa.</p>
<p>Also, the NOS rating system is subjective, leading to different reviewers having varied interpretations of the criteria. It fails to account for all aspects of bias, such as publication bias or bias due to selective reporting. However, the NOS is a simple, transparent, and reproducible method for assessing study quality and allows for flexibility across different study designs (case&#x2013;control and cohort studies).</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec24">
<title>Conclusion</title>
<p>In this scoping review, some African nations were poorly represented in the antibiotic-resistant pathogenic bacteria survey following the article&#x2019;s inclusion criteria and used databases. However, it increased the pathogens primarily responsible for foodborne infections, namely <italic>E. coli</italic>, <italic>Salmonella</italic>, and <italic>Staphylococcus</italic>. Educating food vendors and operators about proper hygiene practices can be a practical and cost-effective solution. The scoping analysis revealed that various forms of antibiotic resistance have been documented in food commodities across multiple African countries, with significant levels of resistance observed in infectious pathogens in diverse RTE foods. The regional antibiotic resistance surveillance system is a significant concern. Therefore, the use of antibiotics in agriculture, the food industry, and human health requires stringent regulations in Africa, particularly in resource-limited settings. This highlights the urgent need for effective control strategies to reduce the spread of resistant bacteria in RTE foods.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec25">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>.</p>
</sec>
<sec sec-type="author-contributions" id="sec26">
<title>Author contributions</title>
<p>HoO: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. HaO: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; review &#x0026; editing. FO: Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SB: Data curation, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing &#x2013; review &#x0026; editing. OA: Data curation, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing &#x2013; review &#x0026; editing. AK: Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec27">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="sec28">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec29">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec30">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec31">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2025.1525564/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2025.1525564/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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