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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2021.747819</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Assessment of General Populations Knowledge, Attitude, and Perceptions Toward the Coronavirus Disease (COVID-19): A Cross-Sectional Study From Pakistan</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Khattak</surname> <given-names>Saadullah</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1086179/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Khan</surname> <given-names>Maqbool</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1447962/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Usman</surname> <given-names>Tahir</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ali</surname> <given-names>Johar</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Dong-Xing</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Jahangir</surname> <given-names>Muhammad</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1203486/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Haleem</surname> <given-names>Kashif</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Muhammad</surname> <given-names>Pir</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1199922/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rauf</surname> <given-names>Mohd Ahmar</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Saddique</surname> <given-names>Kamran</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Khan</surname> <given-names>Nazeer Hussain</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Tao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wu</surname> <given-names>Dong-Dong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/962791/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ji</surname> <given-names>Xin-Ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1042654/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Henan International Joint Laboratory for Nuclear Protein Regulation, School of Basic Medical Sciences, Henan University</institution>, <addr-line>Kaifeng</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Sino-Pak Center for Artificial Intelligence, Pak-Austria Fachhochschule, Institute of Applied Sciences and Technology</institution>, <addr-line>Haripur</addr-line>, <country>Pakistan</country></aff>
<aff id="aff3"><sup>3</sup><institution>College of Veterinary Science and Animal Husbandry, Abdul Wali Khan University Mardan</institution>, <addr-line>Mardan</addr-line>, <country>Pakistan</country></aff>
<aff id="aff4"><sup>4</sup><institution>Vice-Chancellor in Khushal Khan Khattak University Karak</institution>, <addr-line>Karak</addr-line>, <country>Pakistan</country></aff>
<aff id="aff5"><sup>5</sup><institution>State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Psychiatric and Mental Health, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Microbiology, Hazara University</institution>, <addr-line>Mansehra</addr-line>, <country>Pakistan</country></aff>
<aff id="aff8"><sup>8</sup><institution>Henan-Macquarie University Joint Centre for Biomedical Innovation, School of Life Sciences, Henan University</institution>, <addr-line>Kaifeng</addr-line>, <country>China</country></aff>
<aff id="aff9"><sup>9</sup><institution>Department of Surgery, Miller School of Medicine, University of Miami</institution>, <addr-line>Miami, FL</addr-line>, <country>United States</country></aff>
<aff id="aff10"><sup>10</sup><institution>College of Communication, East China Normal University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff11"><sup>11</sup><institution>School of Stomatology, Henan University</institution>, <addr-line>Kaifeng</addr-line>, <country>China</country></aff>
<aff id="aff12"><sup>12</sup><institution>Kaifeng Key Laboratory of Infection and Biological Safety, School of Basic Medical Sciences, Henan University</institution>, <addr-line>Kaifeng</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Muhammad Wajid Ullah, Huazhong University of Science and Technology, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Mostafa K. Nassar, Cairo University, Egypt; Zakir Khan, &#x000C7;ukurova University, Turkey</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Dong-Dong Wu <email>ddwubiomed2010&#x00040;163.com</email></corresp>
<corresp id="c002">Xin-Ying Ji <email>10190096&#x00040;vip.henu.edu.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Infectious Diseases &#x02013; Surveillance, Prevention and Treatment, a section of the journal Frontiers in Medicine</p></fn></author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>747819</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Khattak, Khan, Usman, Ali, Wu, Jahangir, Haleem, Muhammad, Rauf, Saddique, Khan, Li, Wu and Ji.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Khattak, Khan, Usman, Ali, Wu, Jahangir, Haleem, Muhammad, Rauf, Saddique, Khan, Li, Wu and Ji</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><p><bold>Background:</bold> Coronavirus disease 2019 (COVID-19) is a global health threat and caused a universal psychosocial impact on the general population. Therefore, the knowledge, attitude, and perceptions (KAPs) of the general population are critical for the development and effective implementation of standard operating procedures (SOP) to contain the contagion and minimize the losses. Therefore, the current study was conducted to understand and evaluate the KAPs of Pakistani populations toward the COVID-19.</p>
<p><bold>Methods:</bold> An online cross-sectional study was carried out among participants from 1 May to 30 July 2020 in different areas of Pakistan. The respondents of the study were the general population with age &#x02265; 18 years. The poll URL was posted on several channels after a call for participation. Other social media platforms such as WeChat, WhatsApp, Facebook, Twitter, Instagram, Messenger, and LinkedIn were engaged to maximize general population engagement. The questionnaire included details about sociodemographic, knowledge about COVID-19, perceptions toward universal safety precautions of COVID-19, and beliefs attitude toward the COVID-19. The obtained data were exported into a Microsoft Excel spreadsheet and SPSS software version 21 for windows. The descriptive statistics values were presented in frequencies and percentages. Binary logistic regression, Chi-square test, and one-way ANOVA were applied to analyze the participants&#x00027; socio-demographic characteristics and variables related to KAPs. <italic>P-value</italic> &#x0003C; 0.05 was recorded as significant.</p>
<p><bold>Results:</bold> A total of 1,000 participants were invited of which 734 participated in this study. The response rate was 73.4% (734/1,000). The gender, marital status, education, and residence showed a significant association with the knowledge score. The majority of the study participants were thinking that COVID-19 may be more dangerous in elderly individuals 94.5% (<italic>n</italic> = 700), and individuals with chronic diseases or severe complications 96.7% (<italic>n</italic> = 710) (<italic>p</italic> = 0.00). More than half of the participants 52.5% (<italic>n</italic> = 385) showed their concern that either they or their family members might get the infection. More than 98% (<italic>n</italic> = 703), (P-value = 0.00) of the participants held that COVID-19 would be successfully controlled in Pakistan by following the standard SOPs and government guidelines.</p>
<p><bold>Conclusion:</bold> This study showed that the general population of Pakistan has good awareness and reasonable attitudes and perceptions toward the full features of the COVID-19. The current study suggests that mass-level effective health education programs are necessary for developing countries to improve and limit the gap between KAP toward COVID-19.</p></abstract>
<kwd-group>
<kwd>knowledge</kwd>
<kwd>attitude</kwd>
<kwd>perceptions</kwd>
<kwd>coronavirus disease 2019</kwd>
<kwd>Pakistan</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="34"/>
<page-count count="11"/>
<word-count count="6410"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Coronavirus disease 2019 (COVID-19) was first noticed in Wuhan city of Hubei Province, China in late December 2019 (<xref ref-type="bibr" rid="B1">1</xref>). On March 11, 2020, the World Health Organization (WHO) declared it a pandemic (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). The pandemic paralyzed the healthcare system in many countries due to its rapid spread (<xref ref-type="bibr" rid="B4">4</xref>). On July 11, 2021, the disease infected &#x0007E;190 million people and caused more than four million deaths across the globe (<xref ref-type="bibr" rid="B5">5</xref>). Both the developed and developing parts of the world were hit hard by the pandemic and resultantly huge mortalities were reported in the United States of America (USA), India, and Brazil (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). The overall number of confirmed cases in low-resource or developing nations is projected to rise dramatically shortly. COVID-19 was discovered to be a growing threat to the global economy, particularly China&#x00027;s surrounding developing nations, including Pakistan, India, Iran, Afghanistan, and Bangladesh (<xref ref-type="bibr" rid="B8">8</xref>). It is reported that developed countries have defined health care systems and public education programs as compared to low- and middle-income countries (LMICs). It is crucial for LMICs, including Pakistan, to strengthen their healthcare systems to save lives, ensure patients&#x00027; quality of life, and assure patient safety and well-being of the general population (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Pakistan is a densely populated country with around 197 million people having a low to the medium-level economy. It comprises four provinces i.e., Punjab, Sindh, Khyber Pakhtunkhwa (KP), Balochistan, and three territories that include Islamabad Capital Territory, Gilgit&#x02013;Baltistan, Azad Jammu, and Kashmir (<xref ref-type="bibr" rid="B10">10</xref>). The bell for the approaching storm was rung out on 26 February 2020, when the first two cases of COVID-19 were reported in Pakistan (<xref ref-type="bibr" rid="B11">11</xref>). There were 973,284 confirmed COVID-19 cases and 22,582 deaths across the country when writing this article (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). The COVID-19 outbreak harshly hit Punjab province as it has the highest number of COVID-19 cases (with 348,000 cases as of 11 July 2021) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>The government of Pakistan devised strategies such as partial lockdown, social distancing, closure of schools, colleges, and universities across the country, travel restrictions, suspension of general populations transportation, quarantine centers, isolation wards, and diagnostics laboratories, among others, to deal with the pandemic and contain the contagion. Despite these controls, COVID-19 instances continued to be reported regularly. These control mechanisms are said to work because of the general population&#x00027;s knowledge, behavior, and compliance. With the massive distribution of misinformation and falsehoods about COVID-19 on various online networking and social media platforms, the pandemic became more infodemic, making it difficult for the general population to know which sources to believe. To forestall individuals&#x00027; misconception about this viral malady, the WHO needed to dispatch a page entitled &#x0201C;Myth busters&#x0201D; on their website page (<xref ref-type="bibr" rid="B14">14</xref>). The adequacy of government-run data campaigns fundamentally relies upon what individuals see, anticipate, and think about COVID-19. Therefore, it is critical to teach the general population in general about cleanliness standards, the spread of sicknesses, and potential alternatives to treat them; thus making the control measures work well. Following other countries, The government of Pakistan must analyze the general population&#x00027;s knowledge, attitude, and practice or perceptions (KAP) and then develop strategies and standard operating procedures (SOPs) to effectively combat the epidemic (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Therefore, an online survey was performed to determine KAPs of the Pakistani population toward COVID-19.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study Design and Procedure</title>
<p>Online/web-based study was designed from 1 May to 30 July 2020. The subject population of the study was the general population with only one restriction of age i.e., &#x02265; for 18 years, except age; there were no other exclusion criteria. a total of 1,000 individuals were invited. The response rate was 73.4% (734/1,000). According to the World Population Review, Pakistan&#x00027;s reported population on July 1, 2021, was 225,199,937 (<xref ref-type="bibr" rid="B17">17</xref>). The Raosoft sample size calculator was used for the required sample. The calculated minimum required sample size was 385 (<xref ref-type="bibr" rid="B18">18</xref>). For sample estimation, the response distribution was assumed to be 50%, the margin of error was set at 5%, and the confidence level was set at 95%. The poll URL was posted on several channels after a call for participation. Other social media platforms such as WeChat, WhatsApp, Facebook, Twitter, Instagram, Messenger, and LinkedIn were engaged to maximize general population engagement. It took about 10 min to complete the survey. Only the core members had access to the repository data, which ensured privacy.</p>
</sec>
<sec>
<title>Questionnaire Instruments and Variables</title>
<p>A structured questionnaire was established by reviewing the relevant available scientific literature and published resources on COVID-19 (<xref ref-type="bibr" rid="B1">1</xref>). The questionnaire was written in the English language, which is the primary language of higher education and the official language of Pakistan. Four different sections were developed in the used questionnaire: (1) socio-demographic information, (2) knowledge about COVID-19, (3) perceptions toward universal safety precautions of COVID-19, and (4) attitude of study participants toward the COVID-19.</p>
</sec>
<sec>
<title>Socio-Demographic Information</title>
<p>The socio-demographic characteristics section collected information on the participant&#x00027;s gender, age, residential area, level of education, marital status, employment status, and native language. The participants&#x00027; education levels were classified as uneducated, school, college, graduate, and post-graduate. Similarly, the participant&#x00027;s occupation was classified as full-time, part-time, seeking opportunities, retention, student, housewife, scholarship student, and so on, and the participant&#x00027;s native language response included Punjabi, Pashto, Sindhi, and Saraiki, Balochi, Urdu, Shina, and Hindko languages.</p>
</sec>
<sec>
<title>COVID-19 Related Knowledge</title>
<p>The questions included in this section are related to COVID-19 symptoms such as fever, dry cough, body pain, sour throat, chest pain or pressure, and loss of taste or smell. Questions like antibiotics use against the COVID-19; an effective treatment against the virus is currently available; the virus may be more dangerous for the elderly individuals, the virus may be more dangerous in patients with chronic diseases, and different aspects of preventive measures such as the concept of proper hand wash and avoiding handshaking, wearing facemasks in general populations places and not sharing personal items, avoiding crowds, eating or drinking in general populations places during the COVID-19 outbreak, were included in the survey.</p>
</sec>
<sec>
<title>Perceptions Related to Universal Safety Precaution of COVID-19</title>
<p>Two questions were asked to assess the participant&#x00027;s perceptions of the COVID-19 universal safety precaution. It was scored on a Likert&#x02013;type scale of Yes, No, and Not sure. For example, I am concerned about the possibility that another family member or I may become infected with this virus, and I believe the media coverage of this disease is exaggerated.</p>
</sec>
<sec>
<title>Attitude</title>
<p>Three questions were asked to assess the general population&#x00027;s attitude toward COVID-19 including the general population&#x00027;s confidence in the government to win the fight against COVID-19, the government&#x00027;s implementation of curfews, and lockdowns, and general populations support for strict policies if they help protect the vulnerable.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>For data analysis, the participants&#x00027; responses in Google form were transferred to Microsoft Excel and then imported into IBM SPSS software version 21.0 for Windows (IBM Corp. Armonk, NY, USA). Participants&#x00027; demographic characteristics were described by descriptive statistics such as frequency, percentage, mean and standard deviation (SD). For categorical data, numbers and percentages were provided, whereas mean and SD were given for continuous data. The independent <italic>t</italic>-test, one-way ANOVA, and (Chi-square test and binary logistic regression) analysis of variance were employed to evaluate the significance levels. A <italic>P</italic> = 0.05 was declared statistically significant.</p>
</sec>
<sec>
<title>Ethical Consideration</title>
<p>The current study was approved by the Ethical Research Committee Department of Microbiology, Hazara University, Pakistan (study registration No: Micro/BC/2021/15). Our web-based survey first page had an informed consent statement, and it required participants to consent (accept or decline) to participate. This was a voluntary survey, and participants were provided with no incentive.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>General Characteristics</title>
<p>A total of 734 study participants were recruited in the final analysis, of which 80.7% were males and only 19.20 were females as shown in <xref ref-type="table" rid="T1">Table 1</xref>. About two-thirds of the participants (65.25%) aged 18&#x02013; &#x0003C;30 years, one-quarter of participants (22.47%) aged between 30 and 40 years, 40&#x02013;50 years aged participants were 8.03%, 50&#x02013;60 aged were 2.3% and 60&#x02013;70 years of aged participants contributed only 1.9%. The majority of the study participants were from rural areas (56.5%), followed by urban areas (41.1%), and other areas (2.2%). The level of knowledge includes graduates up to 38.0 %, postgraduate 14.2 %, college-level 33.8 %, and school education 8.7 %. Only 5.2 % were uneducated. The marital status results show that single participants were 56.9 and 42.9% were married. According to our survey, 40.2% were Pashto speakers, 11.7% were Punjabi speakers, and 40.2% were Urdu speakers.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Demographic characteristics of participants (<italic>N</italic> = 734).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th/>
<th valign="top" align="center"><bold>Frequency</bold></th>
<th valign="top" align="center"><bold>Percentage(%)</bold></th>
<th valign="top" align="center"><bold>Valid percentage</bold></th>
<th valign="top" align="center"><bold>Cumulative percentage</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">593</td>
<td valign="top" align="center">80.70</td>
<td valign="top" align="center">80.80</td>
<td valign="top" align="center">80.80</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">141</td>
<td valign="top" align="center">19.20</td>
<td valign="top" align="center">19.20</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">18 &#x0003C;30</td>
<td valign="top" align="center">479</td>
<td valign="top" align="center">65.25</td>
<td valign="top" align="center">65.26</td>
<td valign="top" align="center">65.26</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">30 &#x0003C;40</td>
<td valign="top" align="center">165</td>
<td valign="top" align="center">22.47</td>
<td valign="top" align="center">22.48</td>
<td valign="top" align="center">87.74</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">40 &#x0003C;50</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">8.03</td>
<td valign="top" align="center">8.04</td>
<td valign="top" align="center">95.78</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">50 &#x0003C;60</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">2.32</td>
<td valign="top" align="center">98.10</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">60 &#x0003C;70</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">Area of Residence</td>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">2.3</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Rural</td>
<td valign="top" align="center">415</td>
<td valign="top" align="center">56.5</td>
<td valign="top" align="center">56.5</td>
<td valign="top" align="center">58.9</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">urban</td>
<td valign="top" align="center">302</td>
<td valign="top" align="center">41.1</td>
<td valign="top" align="center">41.1</td>
<td valign="top" align="center">100</td>
</tr>
<tr>
<td valign="top" align="left">Education</td>
<td valign="top" align="left">Collage</td>
<td valign="top" align="center">248</td>
<td valign="top" align="center">33.8</td>
<td valign="top" align="center">33.8</td>
<td valign="top" align="center">33.9</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Graduate</td>
<td valign="top" align="center">279</td>
<td valign="top" align="center">38.0</td>
<td valign="top" align="center">38.0</td>
<td valign="top" align="center">71.9</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Postgraduates</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">14.2</td>
<td valign="top" align="center">14.2</td>
<td valign="top" align="center">86.1</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">School</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">8.7</td>
<td valign="top" align="center">8.7</td>
<td valign="top" align="center">94.8</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Uneducated</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">5.2</td>
<td valign="top" align="center">5.2</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">Marital Status</td>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">42.9</td>
<td valign="top" align="center">42.9</td>
<td valign="top" align="center">43.1</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">418</td>
<td valign="top" align="center">56.9</td>
<td valign="top" align="center">56.9</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">Employment status</td>
<td valign="top" align="left">Full-Time</td>
<td valign="top" align="center">291</td>
<td valign="top" align="center">39.6</td>
<td valign="top" align="center">39.6</td>
<td valign="top" align="center">39.8</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Housewife</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">40.2</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Part-Time</td>
<td valign="top" align="center">337</td>
<td valign="top" align="center">45.9</td>
<td valign="top" align="center">45.9</td>
<td valign="top" align="center">86.1</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Retired</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">1.8</td>
<td valign="top" align="center">1.8</td>
<td valign="top" align="center">87.9</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Seeking opportunities</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">6.9</td>
<td valign="top" align="center">6.9</td>
<td valign="top" align="center">94.8</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Student</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">97.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Unemployed</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">Native Language</td>
<td valign="top" align="left">Balochi</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">0.95</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Hindko</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">1.22</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Pashto</td>
<td valign="top" align="center">295</td>
<td valign="top" align="center">40.2</td>
<td valign="top" align="center">40.19</td>
<td valign="top" align="center">41.41</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Punjabi</td>
<td valign="top" align="center">86</td>
<td valign="top" align="center">11.7</td>
<td valign="top" align="center">11.72</td>
<td valign="top" align="center">53.13</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Saraiki</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">3.1</td>
<td valign="top" align="center">3.14</td>
<td valign="top" align="center">56.27</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Shina</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">56.54</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sindhi</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">3.27</td>
<td valign="top" align="center">59.81</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Urdu</td>
<td valign="top" align="center">295</td>
<td valign="top" align="center">40.2</td>
<td valign="top" align="center">40.19</td>
<td valign="top" align="center">100.0</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>COVID-19 Related Knowledge</title>
<p>In total, 44.3% of participants thought that antibiotics could treat the COVID-19 disease, 95.4% of participants&#x00027; views that the virus is riskier for elder people. 96.7% of participants said that the virus is more hazardous in patients with chronic diseases, 45.6% response that an effective treatment against the virus is currently available.</p>
<p>99.3% of participants thought of Fever, dry cough, body aches, and sore throat, 90.5% participants thought that loss of taste or smell, and 84.2% participants thought chest pain or pressure was a common symptom of COVID-19.</p>
<p>In the item of measures to prevent the spread of the disease, 99.9% of participant&#x00027;s thought proper handwashing and avoid handshaking, wearing facemasks in general populations places and not sharing personal items (99.0%), avoiding crowds, eating, or drinking in general populations places (98.00%) as a measure to prevent the spread of the disease as shown in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Age-based knowledge response of the study participants toward COVID-19.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-08-747819-g0001.tif"/>
</fig>
<p>Results of knowledge assessment of the participants regarding spread, common symptoms, and measures to prevent the spread of COVID-19 are shown in <xref ref-type="table" rid="T2">Tables 2</xref>, <xref ref-type="table" rid="T3">3</xref> and <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 1</xref>, <xref ref-type="supplementary-material" rid="SM1">2</xref>.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Participant knowledge of COVID-19 (<italic>N</italic> = 734).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Questions</bold></th>
<th valign="top" align="left"><bold>Responses</bold></th>
<th valign="top" align="center"><bold>Frequency</bold></th>
<th valign="top" align="center"><bold>Percent</bold></th>
<th valign="top" align="center"><bold>Valid percent</bold></th>
<th valign="top" align="center"><bold>Cumulative percent</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Antibiotics are an effective treatment for COVID-19</td>
<td valign="top" align="left">Maybe</td>
<td valign="top" align="center">106</td>
<td valign="top" align="center">14.4</td>
<td valign="top" align="center">14.4</td>
<td valign="top" align="center">14.4</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">303</td>
<td valign="top" align="center">41.3</td>
<td valign="top" align="center">41.3</td>
<td valign="top" align="center">55.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">325</td>
<td valign="top" align="center">44.3</td>
<td valign="top" align="center">44.3</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">An effective treatment against the virus is currently available</td>
<td valign="top" align="left">Maybe</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">6.5</td>
<td valign="top" align="center">6.5</td>
<td valign="top" align="center">6.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">351</td>
<td valign="top" align="center">47.8</td>
<td valign="top" align="center">47.8</td>
<td valign="top" align="center">54.4</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">335</td>
<td valign="top" align="center">45.6</td>
<td valign="top" align="center">45.6</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">The virus may be more dangerous for the elderly individuals</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">2.3</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">4.6</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">700</td>
<td valign="top" align="center">95.4</td>
<td valign="top" align="center">95.4</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">The virus may be more dangerous in patients with chronic diseases</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">1.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">3.3</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">710</td>
<td valign="top" align="center">96.7</td>
<td valign="top" align="center">96.7</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Common symptoms include</bold>,</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">0.5</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;i) Fever, Dry Cough, Body Pain, Sour Throat.</td>
<td valign="top" align="left">Not Sure</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">0.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">729</td>
<td valign="top" align="center">99.3</td>
<td valign="top" align="center">99.3</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;ii) Chest pain or pressure</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">88</td>
<td valign="top" align="center">12.0</td>
<td valign="top" align="center">12.0</td>
<td valign="top" align="center">12.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">3.8</td>
<td valign="top" align="center">3.8</td>
<td valign="top" align="center">15.8</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">618</td>
<td valign="top" align="center">84.2</td>
<td valign="top" align="center">84.2</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;iii) Loss of taste or smell</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">5.0</td>
<td valign="top" align="center">5.0</td>
<td valign="top" align="center">5.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">9.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">664</td>
<td valign="top" align="center">90.5</td>
<td valign="top" align="center">90.5</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Measure to prevent the spread of the disease include</bold>,</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;i) Proper handwashing and stop shaking hands</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">733</td>
<td valign="top" align="center">99.9</td>
<td valign="top" align="center">99.9</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">0.5</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;ii) Putting on facemask in public places and do not share personal items</td>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">o.4</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">1.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">727</td>
<td valign="top" align="center">99.0</td>
<td valign="top" align="center">99.0</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;iii) Do not gather in groups and avoid eating or drinking in a public place</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">1.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">2.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">719</td>
<td valign="top" align="center">98.0</td>
<td valign="top" align="center">98.0</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Association of knowledge with demographic variables of respondents (<italic>N</italic> = 734).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="left"><bold>Categories</bold></th>
<th valign="top" align="center"><bold>Knowledge score (Mean&#x0002B;-SD)</bold></th>
<th valign="top" align="center"><bold>t/F</bold></th>
<th valign="top" align="center"><bold>p-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">8.18 &#x000B1; 1.686</td>
<td valign="top" align="center">125.11</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">10.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">18 &#x0003C;30</td>
<td valign="top" align="center">7.74 &#x000B1; 1.593</td>
<td valign="top" align="center">127.703</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">30 &#x0003C;40</td>
<td valign="top" align="center">10.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">40 &#x0003C;50</td>
<td valign="top" align="center">10.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">50 &#x0003C;60</td>
<td valign="top" align="center">10.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">60 &#x0003C;70</td>
<td valign="top" align="center">10.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Area of Residence</td>
<td valign="top" align="left">Urban</td>
<td valign="top" align="center">10.00 &#x000B1; 0.000</td>
<td valign="top" align="center">1178.801</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Rural</td>
<td valign="top" align="center">7.70 &#x000B1; 1.063</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">2.25 &#x000B1; 1.125</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Collage</td>
<td valign="top" align="center">6.90 &#x000B1; 1.632</td>
<td/>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td valign="top" align="left">Education</td>
<td valign="top" align="left">Graduate</td>
<td valign="top" align="center">8.88 &#x000B1; 0.977</td>
<td valign="top" align="center">224.046</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Postgraduates</td>
<td valign="top" align="center">10.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">School</td>
<td valign="top" align="center">10.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Uneducated</td>
<td valign="top" align="center">10.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Marital Status</td>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">7.14 &#x000B1; 1.515</td>
<td valign="top" align="center">25.925</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">9.57 &#x000B1; 0.805</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Employment Status</td>
<td valign="top" align="left">Full-Time</td>
<td valign="top" align="center">7.07 &#x000B1; 1.556</td>
<td valign="top" align="center">109.291</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Housewife</td>
<td valign="top" align="center">8.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Part-Time</td>
<td valign="top" align="center">8.00 &#x000B1; 0.901</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Retired</td>
<td valign="top" align="center">10.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Seeking opportunities</td>
<td valign="top" align="center">10.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Student</td>
<td valign="top" align="center">9.65 &#x000B1; 0.786</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Unemployed</td>
<td valign="top" align="center">9.43 &#x000B1; 0.926</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Native Language</td>
<td valign="top" align="left">Balochi</td>
<td valign="top" align="center">1.14 &#x000B1; 0.690</td>
<td valign="top" align="center">388.265</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Hindko</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Pashto</td>
<td valign="top" align="center">7.27 &#x000B1; 1.193</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Punjabi</td>
<td valign="top" align="center">8.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Saraiki</td>
<td valign="top" align="center">8.78 &#x000B1; 0.736</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Shina</td>
<td valign="top" align="center">10.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sindhi</td>
<td valign="top" align="center">10.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Urdu</td>
<td valign="top" align="center">10.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Perceptions of the Study Participants</title>
<p>Our results show that 52.5% of participants were worried about the probability that another family member or I can get infected with this virus, 89.0% of participants consider the media coverage about this disease is overstated; <xref ref-type="table" rid="T4">Tables 4</xref>, <xref ref-type="table" rid="T5">5</xref> and <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 1</xref>, <xref ref-type="supplementary-material" rid="SM1">3</xref> provides the details of these items and see <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Perception toward COVID-19 (<italic>N</italic> = 734).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Questions</bold></th>
<th valign="top" align="left"><bold>Responses</bold></th>
<th valign="top" align="center"><bold>Frequency</bold></th>
<th valign="top" align="center"><bold>Percent</bold></th>
<th valign="top" align="center"><bold>Valid percent</bold></th>
<th valign="top" align="center"><bold>Cumulative percent</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="6"><bold>Perception toward COVID-19</bold>,</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;i) I am concerned about the possibility that another family member or I can get infected with this virus</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">313</td>
<td valign="top" align="center">42.6</td>
<td valign="top" align="center">42.6</td>
<td valign="top" align="center">42.6</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">4.9</td>
<td valign="top" align="center">4.9</td>
<td valign="top" align="center">47.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">385</td>
<td valign="top" align="center">52.5</td>
<td valign="top" align="center">52.5</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;ii) I think media courage about this disease is exaggerated</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">4.6</td>
<td valign="top" align="center">4.6</td>
<td valign="top" align="center">4.6</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">6.4</td>
<td valign="top" align="center">6.4</td>
<td valign="top" align="center">11.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">653</td>
<td valign="top" align="center">89.0</td>
<td valign="top" align="center">89.0</td>
<td valign="top" align="center">100.0</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Association of perception with demographic variables of respondents (<italic>N</italic> = 734).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="left"><bold>Categories</bold></th>
<th valign="top" align="center"><bold>Perception score (Mean&#x0002B;-SD)</bold></th>
<th valign="top" align="center"><bold>t/F</bold></th>
<th valign="top" align="center"><bold>p-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">1.27 &#x000B1; 0.688</td>
<td valign="top" align="center">427.054</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">2.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">18 &#x0003C;30</td>
<td valign="top" align="center">1.10 &#x000B1; 1.656</td>
<td valign="top" align="center">119.366</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">30 &#x0003C;40</td>
<td valign="top" align="center">2.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">40 &#x0003C;50</td>
<td valign="top" align="center">2.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">50 &#x0003C;60</td>
<td valign="top" align="center">2.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">60 &#x0003C;70</td>
<td valign="top" align="center">2.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Area<break/> of Residence</td>
<td valign="top" align="left">Urban</td>
<td valign="top" align="center">10.00 &#x000B1; 0.000</td>
<td valign="top" align="center">482.610</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Rural</td>
<td valign="top" align="center">2.00 &#x000B1; 0.594</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">0.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Collage</td>
<td valign="top" align="center">0.67 &#x000B1; 0.470</td>
<td/>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td valign="top" align="left">Education</td>
<td valign="top" align="left">Graduate</td>
<td valign="top" align="center">1.64 &#x000B1; 0.481</td>
<td valign="top" align="center">224.046</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Postgraduates</td>
<td valign="top" align="center">2.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">School</td>
<td valign="top" align="center">2.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Uneducated</td>
<td valign="top" align="center">2.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Marital Status</td>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">0.74 &#x000B1; 0.438</td>
<td valign="top" align="center">41.899</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">1.92 &#x000B1; 0.274</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Employment Status</td>
<td valign="top" align="left">Full-Time</td>
<td valign="top" align="center">0.72 &#x000B1; 0.449</td>
<td valign="top" align="center">231.776</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Housewife</td>
<td valign="top" align="center">1.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Part-Time</td>
<td valign="top" align="center">1.86 &#x000B1; 0.344</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Retired</td>
<td valign="top" align="center">2.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Seeking-opportunities</td>
<td valign="top" align="center">2.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Student</td>
<td valign="top" align="center">1.82 &#x000B1; 0.463</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Unemployed</td>
<td valign="top" align="center">1.71 &#x000B1; 0.681</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Native Language</td>
<td valign="top" align="left">Balochi</td>
<td valign="top" align="center">0.00 &#x000B1; 0.000</td>
<td valign="top" align="center">360.161</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Hindko</td>
<td valign="top" align="center">0.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Pashto</td>
<td valign="top" align="center">0.76 &#x000B1; 0.430</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Punjabi</td>
<td valign="top" align="center">1.48 &#x000B1; 0.502</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Saraiki</td>
<td valign="top" align="center">2.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Shina</td>
<td valign="top" align="center">2.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sindhi</td>
<td valign="top" align="center">2.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Urdu</td>
<td valign="top" align="center">2.00 &#x000B1; 0.681</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Language-based response of participants to perception.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-08-747819-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Attitude of Participants</title>
<p>The participants&#x00027; attitudes toward the preventive measures to limit the spread of COVID-19 and their responses are presented in <xref ref-type="table" rid="T6">Tables 6</xref>, <xref ref-type="table" rid="T7">7</xref>, and <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref> and <xref ref-type="supplementary-material" rid="SM1">Supplementary 4</xref>. In general, the majority of participants had a good attitude toward the various preventive measures asked. About 95.8% of the participants were assured that Pakistan would take control over the pandemic of COVID-19 successfully. In comparison, the attitudes about the lockdown in the country were 87.3% positive, and 95.8% of participants favored a stringent policy if it helped to protect the general population from the devastating infection.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Attitudes toward COVID-19 (<italic>N</italic> = 734).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Questions</bold></th>
<th valign="top" align="left"><bold>Responses</bold></th>
<th valign="top" align="center"><bold>Frequency</bold></th>
<th valign="top" align="center"><bold>Percent</bold></th>
<th valign="top" align="center"><bold>Valid percent</bold></th>
<th valign="top" align="center"><bold>Cumulative percent</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">i) Do you have confidence that Pakistan can win the battle against the COVID-19 virus?</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">1.9</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">4.2</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">703</td>
<td valign="top" align="center">95.8</td>
<td valign="top" align="center">95.8</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">ii) In no circumstance should there be curfews</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">8.3</td>
<td valign="top" align="center">8.3</td>
<td valign="top" align="center">8.3</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">4.4</td>
<td valign="top" align="center">4.4</td>
<td valign="top" align="center">12.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">641</td>
<td valign="top" align="center">87.3</td>
<td valign="top" align="center">87.3</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">iii) I am in favor of a strict policy if it helps to protect the vulnerable</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">2.3</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">4.2</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">703</td>
<td valign="top" align="center">95.8</td>
<td valign="top" align="center">95.8</td>
<td valign="top" align="center">100.0</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Association of attitude with demographic variables of respondents (<italic>N</italic> = 734).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="left"><bold>Categories</bold></th>
<th valign="top" align="center"><bold>Attitude score (Mean&#x0002B;-SD)</bold></th>
<th valign="top" align="center"><bold>t/F</bold></th>
<th valign="top" align="center"><bold>p-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">2.74 &#x000B1; 0.712</td>
<td valign="top" align="center">86.822</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">3.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">18 &#x0003C;30</td>
<td valign="top" align="center">2.68 &#x000B1; 0.781</td>
<td valign="top" align="center">10.946</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">30 &#x0003C;40</td>
<td valign="top" align="center">3.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">40 &#x0003C;50</td>
<td valign="top" align="center">3.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">50 &#x0003C;60</td>
<td valign="top" align="center">3.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">60 &#x0003C;70</td>
<td valign="top" align="center">3.00 &#x000B1; 0.00</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Area of Residence</td>
<td valign="top" align="left">Urban</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td valign="top" align="center">299.071</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Rural</td>
<td valign="top" align="center">2.74 &#x000B1; 0.640</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">0.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Collage</td>
<td valign="top" align="center">2.38 &#x000B1; 0.994</td>
<td/>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td valign="top" align="left">Education</td>
<td valign="top" align="left">Graduate</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td valign="top" align="center">47.787</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Postgraduates</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">School</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Uneducated</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Marital Status</td>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">2.51 &#x000B1; 0.052</td>
<td valign="top" align="center">41.899</td>
<td valign="top" align="center">9.511 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Employment Status</td>
<td valign="top" align="left">Full-Time</td>
<td valign="top" align="center">2.47 &#x000B1; 0.944</td>
<td valign="top" align="center">19.951</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Housewife</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Part-Time</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Retired</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Seeking opportunities</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Student</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Unemployed</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Native Language</td>
<td valign="top" align="left">Balochi</td>
<td valign="top" align="center">0.00 &#x000B1; 0.000</td>
<td valign="top" align="center">52.562</td>
<td valign="top" align="center">0.00 (&#x0003C;0.05)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Hindko</td>
<td valign="top" align="center">0.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Pashto</td>
<td valign="top" align="center">2.57 &#x000B1; 0.834</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Punjabi</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Saraiki</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Shina</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sindhi</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Urdu</td>
<td valign="top" align="center">3.00 &#x000B1; 0.000</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>COVID-19 is a new, fast-evolving worldwide health concern that affects all areas of society. It is critical to persuade the general population to adopt precautionary measures, which are completely dependent on accurate information of the pandemic and appropriate general populations reaction. Numerous researches have been performed out to assess the level of KAP concerning infectious disease epidemics and pandemics including Severe acute respiratory syndrome (SARS), Influenza, Swine Flu, and Middle East respiratory syndrome (MERS). Recent studies on KAP toward COVID-19 among people in China (<xref ref-type="bibr" rid="B19">19</xref>), the United States (<xref ref-type="bibr" rid="B20">20</xref>), Tanzania (<xref ref-type="bibr" rid="B21">21</xref>), Kenya (<xref ref-type="bibr" rid="B22">22</xref>), Ethiopia (<xref ref-type="bibr" rid="B23">23</xref>), Saudi Arabia (<xref ref-type="bibr" rid="B24">24</xref>), and Nepal (<xref ref-type="bibr" rid="B25">25</xref>) have been reported.</p>
<p>Jilani et al. conducted a study to research the impact of information sharing on long-term performance in Bangladesh and concluded that knowledge concealment did not affect the impact of knowledge sharing on employees&#x00027; ambidexterity (<xref ref-type="bibr" rid="B26">26</xref>). As a result, the purpose of this research was to explore the general population&#x00027;s knowledge, attitudes, practices, and anxiety about COVID-19 in Pakistan. This research also revealed several demographic factors linked to KAP&#x00027;s response to the COVID-19 pandemic. This research might give information to help healthcare officials and policymakers in establishing policies and awareness programs to limit the spread of the new COVID-19 pandemic.</p>
<p>Several web KAP studies have been done in Pakistan, with a focus on the educated population, including healthcare workers and university graduates. The results of previous studies found that participants were well-versed on common signs and symptoms (84&#x02013;93%) and COVID-19 prevention measures (72&#x02013;92%) (<xref ref-type="bibr" rid="B1">1</xref>). However, according to our findings, more than 90% of participants were aware of the common signs and symptoms Another community-based survey revealed relatively inadequate illness awareness, with just 45.3 %of the sample group viewing close physical contact as a risk factor for virus spread (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>In our study, 95.5% of the respondents were hopeful that the fight against the COVID-19 pandemic would be successfully won and controlled in Pakistan through mitigation and prevention efforts. A significant proportion was revealed in China&#x00027;s recent survey, with 90.8% believing that COVID-19 will be successfully managed and 97.1% believing that China can win the battle against the SARS-CoV-2 (<xref ref-type="bibr" rid="B19">19</xref>). While according to another study in Pakistan, 67.3 % were confident that COVID-19 would be effectively managed; nevertheless, this was very low in comparison to our study (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>In our study, the predominant portion (80%) were male participants which were similar to the studies conducted by other researchers (<xref ref-type="bibr" rid="B1">1</xref>), while some studies recruited more female participants (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>). The symptoms of the SARS-CoV-2 were investigated in this work, similar to the one conducted by others (<xref ref-type="bibr" rid="B1">1</xref>). In our study, 98.0% of participants reported that they avoided gathering in groups and eating or drinking in a public place throughout COVID-19, COVID-19, which was comparable to the research carried out by (<xref ref-type="bibr" rid="B1">1</xref>). We observed that 90.5% cleaned their hands regularly. Our findings are consistent with research done in Jordan, and Pakistan which found that frequent handwashing and mask-wearing are preventive measures used by the Jordanian and Pakistani population (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Another study from China found that participants had higher information, a positive attitude, and excellent health habits to prevent fatal infectious illnesses (<xref ref-type="bibr" rid="B31">31</xref>). In our study, the majority of participants (about 99.0%) used facemasks in public places and did not share personal items, which was higher than the findings of other studies (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B25">25</xref>). In our study, a high proportion of the respondents (89%) thought that media coverage of this disease is exaggerated. A recent study in Karachi found that a large number of people (84 percent) think that false news about COVID-19, circulating on social media, is generating fear in the general population (<xref ref-type="bibr" rid="B32">32</xref>). These aspects of human life are governed by the trinity of general populations KAP, and the three components work together to form the complex system of life. As a result, they are all linked together in such a way that evidence of increased knowledge, changes in attitudes, and standard practices can all be traced back to pandemic impact prevention.</p>
<p>Concerns were expressed by more than half of the participants (52.5%), who were concerned about getting the disease; this ratio is a bit lower as compared to the Chinese population which is 54% in a recent report (<xref ref-type="bibr" rid="B33">33</xref>). There was a higher level of anxiety and susceptibility to getting and spreading the infection to oneself and family members in our study population. One possible explanation is that the general population did not fully comply with the government&#x00027;s preventive procedures, which resulted in the spread of COVID-19 fear.</p>
<p>The government of Pakistan responded well to the pandemic and succeeded in minimizing the losses. These preventive precautions may largely be ascribed to the government of Pakistan&#x00027;s stringent preventative and control measures, including banning of general populations gatherings and, a tight lockdown to stop the spread of COVID-19. The suspension of all incoming flights at airports, the closure of educational institutions, and the importation of 1,000 ventilators until the end of June 2020 are all significant steps (<xref ref-type="bibr" rid="B34">34</xref>). The success of the government of Pakistan in containing the contagion might also be the result of the people&#x00027;s thorough understanding of the COVID-19 virus&#x00027;s high virulence and speed of transmission. A tiny portion of the respondents (0.5%) reported that they do not wear face masks and 1.5% of participants gather in groups and do not avoid eating or drinking in a general population&#x00027;s place throughout COVID-19. Around 0.1% of participants mentioned that they do not wash their hands and stopped shaking their hands during the pandemic. These figures are a bit lower than the findings of the recent study (<xref ref-type="bibr" rid="B23">23</xref>). In research on KAP toward COVID-19, similar results were observed among the Nepalese population (<xref ref-type="bibr" rid="B25">25</xref>). Prevention is the best way to mitigate the effects of the COVID-19 pandemic, and general populations aware of the importance of SARS-CoV-2 preventive measures is critical, disseminating accurate information to the general populations about the situation of COVID-19 in Pakistan is critical for spreading awareness of the possible risks and the best code of behavior throughout COVID-19. Because of a lack of internet access and online health information, vulnerable populations in Pakistan affected by the COVID-19 epidemic, such as senior citizens and rural residents, are more likely to have low knowledge, negative attitudes, and ineffective prevention during the pandemic. As a result, in Pakistan today, KAP toward COVID-19 among the vulnerable population requires special attention. Furthermore, the study&#x00027;s sample was not representative. Another limitation was the lack of a detailed evaluation of KAP toward COVID-19, which could have been accomplished through focus group interviews and in-depth interviews for a more in-depth understanding.</p>
<sec>
<title>Implications</title>
<p>In the COVID-19 pandemic, the majority of research participants adopted social isolation measures, regular hand washing, and enhanced personal hygiene routines. Pakistani population showed a predicted degree of awareness of the COVID-19 and applied suitable anti-spread measures. Furthermore, specific training programs for government and local employees may enhance their knowledge of COVID-19 risks and preventative methods, allowing them to provide adequate care to their family members while also keeping themselves safe from the virus. Positively, nations like Pakistan may limit the spread of COVID-19 infection through developing efficient COVID-19 management and prevention programs at the government. To tackle the infection, WHO, CDC, local governments of Pakistan and other health organization plans should be implemented in this respect, everybody should work together to end the pandemic.</p>
</sec>
<sec>
<title>Limitations</title>
<p>It was an online survey, and because it was shared on social media, there were probably numerous individuals in Pakistan who were unable to see or access it. We unintentionally overlooked the viewpoint of individuals who do not utilize the internet or social media. Moreover, the replies were based on honesty and were influenced through recall ability; hence, they may be subject to bias recall. We recruited participants via social media channels rather than a representative sample from the whole country, so our data may not be able to be generalized&#x0201D;.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This study shows that participants have an overall good KAP toward COVID-19, some populations are less knowledgeable than others, with Pakistanis having varying opinions regarding the pandemic. Furthermore, given the recent increase in COVID-19 cases in Pakistan, there is a risk of compliance in procedures for preventative precautions. Following these guidelines and disseminating the right information requires complex awareness campaigns and educational interventions that focus on safe health practices and proper evidence-based information about this disease.</p>
</sec>
</sec>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s8">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>All the authors contributed to the preparation of this manuscript. SK, MK, TU, JA, DW, MJ, KH, MAR, KS, and DW wrote the article, final editing, and preparation of the manuscript for submission. SK, DW, and XJ revised the manuscript. All authors read and approved the final article.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (Nos. 81802718 and U1504817), the Foundation of Science and Technology Department of Henan Province, China (Nos. 192102310151 and 202102310480), and the training Program for Young Backbone Teachers of Institution of Higher Learning in Henan Province, China (No. 2020GGJS038).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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="disclaimer" id="s8">
<title>Publisher&#x00027;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>
</body>
<back>
<sec sec-type="supplementary-material" id="s9">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmed.2021.747819/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmed.2021.747819/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOC" id="SM1" mimetype="application/msword" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.DOC" id="SM2" mimetype="application/msword" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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