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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Vet. Sci.</journal-id>
<journal-title>Frontiers in Veterinary Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Vet. Sci.</abbrev-journal-title>
<issn pub-type="epub">2297-1769</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fvets.2021.791237</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Veterinary Science</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prevalence of <italic>Batrachochytrium dendrobatidis</italic> in Amphibians From 2000 to 2021: A Global Systematic Review and Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Zhongle</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="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1471468/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Qi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Sun</surname> <given-names>Keping</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1508134/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Feng</surname> <given-names>Jiang</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="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/767025/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University</institution>, <addr-line>Changchun</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of Animal Science and Technology, Jilin Agricultural University</institution>, <addr-line>Changchun</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Key Laboratory of Vegetation Ecology, Ministry of Education</institution>, <addr-line>Changchun</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Brian D. Perry, University of Oxford, United Kingdom</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Gabriel Arriagada, Universidad de O&#x00027;Higgins, Chile; Heather Margaret Anne Fenton, Ross University School of Veterinary Medicine, Saint Kitts and Nevis</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Keping Sun <email>sunkp129&#x00040;nenu.edu.cn</email></corresp>
<corresp id="c002">Jiang Feng <email>fengj&#x00040;nenu.edu.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Veterinary Epidemiology and Economics, a section of the journal Frontiers in Veterinary Science</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>791237</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Li, Wang, Sun and Feng.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Li, Wang, Sun and Feng</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>Chytridiomycosis is an amphibian fungal disease caused by <italic>Batrachochytrium dendrobatidis</italic> (<italic>Bd</italic>), which has caused large-scale death and population declines on several continents around the world. To determine the current status of <italic>Bd</italic> infection in amphibians, we conducted a global meta-analysis. Using PubMed, ScienceDirect, SpringerLink, China National Knowledge Infrastructure (CNKI) and Wanfang database searches, we retrieved a total of 111 articles from 2000 to 2021. Based on these, we estimated the <italic>Bd</italic> prevalence to be 18.54% (95% CI: 13.76&#x02013;20.52) in current extent amphibians. Among these populations, the prevalence of <italic>Bd</italic> in Asia was the lowest at 7.88% (95% CI: 1.92&#x02013;8.71). Further, no <italic>Bd</italic> infection was found in Vietnam. However, the prevalence of <italic>Bd</italic> in Oceania was the highest at 36.34% (95% CI: 11.31&#x02013;46.52). The <italic>Bd</italic> prevalence in Venezuela was as high as 49.77% (95% CI: 45.92&#x02013;53.62). After 2009, the global <italic>Bd</italic> prevalence decreased to 18.91% (95% CI: 13.23&#x02013;21.56). The prevalence of <italic>Bd</italic> in epizootic populations was significantly higher than enzootic populations. The highest prevalence of <italic>Bd</italic> was detected with real-time PCR at 20.11% (95% CI: 13.12&#x02013;21.38). The prevalence of <italic>Bd</italic> in frogs was the highest at 20.04% (95% CI: 13.52&#x02013;21.71), and this different host was statistically significant (<italic>P</italic> &#x0003C; 0.05). At the same time, we analyzed the geographic factors (longitude, latitude, elevation, rainfall and temperature) that impacted the fungal prevalence in amphibians. Our meta-analysis revealed that factors including region, disease dynamic, detection method, host and climate may be sources of the observed heterogeneity. These results indicate that chytridiomycosis was a consistent threat to amphibians from 2000 to 2021. Based on different habitat types and geographical conditions, we recommend formulating corresponding control plans and adopting reasonable and efficient biological or chemical methods to reduce the severity of such diseases.</p></abstract>
<kwd-group>
<kwd><italic>Batrachochytrium dendrobatidis</italic></kwd>
<kwd>meta-analysis</kwd>
<kwd>amphibians</kwd>
<kwd>chytridiomycosis</kwd>
<kwd>prevalence</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="79"/>
<page-count count="13"/>
<word-count count="7741"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Highlights</title>
<list list-type="simple">
<list-item><p>- The highest prevalence of <italic>Bd</italic> was in Oceania, followed by South America.</p></list-item>
<list-item><p>- The prevalence of amphibian chytridiomycosis has decreased over the past decade.</p></list-item>
<list-item><p>- Climate and geographical conditions may be the main risk factors for amphibian chytridiomycosis.</p></list-item>
</list>
</sec>
<sec sec-type="intro" id="s2">
<title>Introduction</title>
<p>Over the last four decades, &#x0007E;43% of amphibian species have become threatened with extinction worldwide (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Habitat destruction (<xref ref-type="bibr" rid="B3">3</xref>), natural environment pollution (<xref ref-type="bibr" rid="B4">4</xref>), climate change (<xref ref-type="bibr" rid="B5">5</xref>) and emerging infectious diseases (<xref ref-type="bibr" rid="B6">6</xref>) are all potential causes of morbidity and mortality. Chytridiomycosis is the disease caused by <italic>Batrachochytrium dendrobatidis</italic> (<italic>Bd</italic>) and has become a major menace to amphibians, leading to the decline and extinction of amphibians worldwide (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>).</p>
<p><italic>Bd</italic> invades epidermal cells and grows the outer keratinized layers, causing skin thickening, erosions and ulcerations, disrupting the transport of water, oxygen and ions, and eventually leading to death (<xref ref-type="bibr" rid="B9">9</xref>). This pathogen has been detected in &#x0007E;700 amphibian species (<xref ref-type="bibr" rid="B10">10</xref>) and occurs in different regions around the world, including Europe, Oceania, Africa, North America and South America (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>), particularly in the Neotropics and Australia (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). <italic>Bd</italic> may be one of the most seriously infectious diseases currently threatening biodiversity (<xref ref-type="bibr" rid="B8">8</xref>) and is now listed as an important epidemic disease by the World Organization for Animal Health (<xref ref-type="bibr" rid="B15">15</xref>). Currently, there are several methods to control the spread of <italic>Bd</italic>, such as use of fungicides, bioaugmentation (microorganisms that inhibit the growth of <italic>Bd</italic>) and vaccination. The first two methods may be considered risky for other species due to their broad spectrum, and the effectiveness and safety of vaccination still need be further validation for controlling chytridiomycosis in the field (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>).</p>
<p><italic>Bd</italic> is regarded as a generalist pathogen (<xref ref-type="bibr" rid="B18">18</xref>) and is distributed across different ecosystems (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). The prevalence and infection intensity of <italic>Bd</italic> are associated with abiotic factors (<xref ref-type="bibr" rid="B21">21</xref>) and may vary according to host species, age and individual susceptibility (<xref ref-type="bibr" rid="B22">22</xref>). Currently, there are several <italic>Bd</italic> lineages, mainly divided into enzootic and epizootic lineages, where the enzootic lineages has a lower virulence probably due to its smaller zoosporangium size, and more limited geographic distributions vs. epizootic lineages (<xref ref-type="bibr" rid="B23">23</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>). Meanwhile, the inherent characteristics of amphibians (behavior and immunity) and environmental features (vegetation coverage, temperature, rainfall, seasonality, and geographical conditions) can predict dynamic changes of diseases in natural populations (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>Amphibians are a critical links in ecosystem food chains, as they are able to prey on pests, effectively protect crops and play an important role in maintaining the ecosystem balance (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B28">28</xref>). In addition, some amphibians are edible while others have high medicinal and scientific research value (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Considering the serious impact of chytridiomycosis on the health of amphibians, there are still limited articles on the overall assessment of the factors that potentially influence the prevalence of <italic>Bd</italic>. Thus, we conducted a global systematic review and meta-analysis on <italic>Bd</italic> infection over the last 21 years. The sampling year, geographic location, disease dynamic, detection method, season, host, age, International Union for the Conservation of Nature (IUCN) classification, sampling source and other potential risk factors along with several geographic factors were collected and analyzed to determine which were related to <italic>Bd</italic> prevalence in amphibians. This study could support ongoing conservation efforts for amphibian chytridiomycosis.</p>
</sec>
<sec sec-type="materials and methods" id="s3">
<title>Materials and Methods</title>
<sec>
<title>Article Search Strategy</title>
<p>We used the preferred reporting items for systematic reviews and meta-analysis (PRISMA) algorithm to select reasonable study reports (<xref ref-type="bibr" rid="B31">31</xref>). In this study, we searched for articles with the prevalence of <italic>Bd</italic> in amphibians worldwide available from five literature databases, including PubMed, ScienceDirect, SpringerLink, China National Knowledge Infrastructure (CNKI) and Wanfang Databases (the retrieval time was from Jan 1, 2000, to August 18, 2021). In PubMed, we used the MeSH terms &#x0201C;<italic>Batrachochytrium dendrobatidis</italic>,&#x0201D; &#x0201C;Prevalence,&#x0201D; and &#x0201C;Amphibians&#x0201D; for our searches. Then we queried the corresponding MeSH term &#x0201C;<italic>Batrachochytrium dendrobatidis</italic>&#x0201D; using the free words &#x0201C;Chytridiomycosis&#x0201D; and &#x0201C;Chytrid.&#x0201D; Simultaneously, the Boolean operator &#x0201C;AND&#x0201D; to connect MeSH terms and &#x0201C;OR&#x0201D; to connect the free words were used. Finally, the search formula &#x0201C;(<italic>Batrachochytrium dendrobatidis</italic> OR Chytridiomycosis OR Chytrid) AND (Amphibians) AND (Prevalence)&#x0201D; was used. In the ScienceDirect and SpringerLink databases, we used the same search formula. Meanwhile, we used the keywords &#x0201C;(<italic>Batrachochytrium dendrobatidis</italic>) AND (Amphibians)&#x0201D; for advanced searches and added a fuzzy search and synonym expansion in two Chinese databases. Moreover, we did not include unpublished data and did not seek additional information from the authors of published articles. Endnote X9 (version 9.3.1) was used to sort out the retrieved citations.</p>
</sec>
<sec>
<title>Selection and Exclusion Criteria</title>
<p>We adopted the following inclusion criteria: (1) the study was aimed to estimate the prevalence of <italic>Bd</italic> from amphibians inhabiting the natural environment; (2) the study presented the number of examined species and the number of <italic>Bd</italic> positive species to evaluate the prevalence (the number of individuals positive to <italic>Bd</italic>/total number of individuals examined); (3) the sample size of the study was more than 60 (<xref ref-type="bibr" rid="B32">32</xref>); (4) the study design was cross-sectional for estimating the prevalence in disease studies. Moreover, the following exclusion criteria were used: (1) the study had internal data conflicts (the data described in the conclusion not corresponding to the actual number of tests); (2) the study included museum samples or specimen (unclear source of samples); (3) the study used experimental group data; (4) the study was conducted earlier than 2000; or (5) the study presented dead samples.</p>
</sec>
<sec>
<title>Data Extraction and Analysis</title>
<p>Based on the acquired studies, we extracted the information using standardized data collection forms: first author, publication year, sampling date, continent of the study, country of the study, disease dynamic (the process of the spread of diseases from epizootic phase to enzootic phase), detection method, host classification (order), geographical factors, collection season, age, International Union for Conservation of Nature (IUCN) category, sample source, total number of amphibian samples and the number of <italic>Bd</italic> positive samples. The geographic factor data were based on weather stations collected from the NOAA National Centers for Environmental Information (<ext-link ext-link-type="uri" xlink:href="https://gis.ncdc.noaa.gov/maps/ncei/cdo/monthly">https://gis.ncdc.noaa.gov/maps/ncei/cdo/monthly</ext-link>), including longitude, latitude, elevation, monthly average rainfall and monthly average temperature.</p>
</sec>
<sec>
<title>Quality Assessment</title>
<p>The quality of the publications was scored with reference to a previously published method from the Grading of Recommendations Assessment, Development and Evaluation method (GRADE) (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). The scoring criteria had the following conditions: clear detection method, definite random sampling, definite sampling time, clear sampling method and four or more risk factors evaluated in collection articles. Each condition was scored with one point. High-quality articles were valued to have 4&#x02013;5 points, and medium-quality articles had 2&#x02013;3 points. Low-quality articles had only 1 or 0 points (<xref ref-type="bibr" rid="B34">34</xref>). The scoring of an article did not represent the level of its research content, but was used to assess risk bias.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>All statistical computing was conducted in R version 4.0.2 (<xref ref-type="bibr" rid="B35">35</xref>). Based on previous studies, we chose arcsine transformation (PFT) data to be closer to the normal distribution before our meta-analysis (<italic>W</italic> = 0.96961; <italic>P</italic> &#x0003C; 0.05; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>) (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>The formulas for PFT were as follows: <italic>t</italic> = arcsin {sqrt [r/(n &#x0002B; 1)]} &#x0002B; arcsin {sqrt [(r &#x0002B; 1)/(n &#x0002B; 1)]}, note: <italic>t</italic> = transformed prevalence; <italic>n</italic> = sample size; <italic>r</italic> = positive number; se = standard error (<xref ref-type="bibr" rid="B37">37</xref>). We calculated the heterogeneity between studies using Cochran&#x00027;s Q, <italic>I</italic><sup>2</sup> statistics and the &#x003C7;<sup>2</sup> test, where I<sup>2</sup>&#x0003E;50% indicates a significant degree of heterogeneity. Based on the obvious heterogeneity from the selected articles, we chose a random model for meta-analysis (<xref ref-type="bibr" rid="B38">38</xref>). In order to examine the potential sources of heterogeneity, we analyzed the research data using subgroup analyses and univariate regression analysis to identify potential risk factors predictive of heterogeneity. Forest plots were used to visually evaluate the overall results of metaanalysis. The studies of publication bias were explained with funnel plots and an Egger&#x00027;s test. Finally, we used sensitivity analysis to estimate the stability of our results (<xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>We further studied the potential sources of heterogeneity from each subgroup (<xref ref-type="bibr" rid="B40">40</xref>), including the geographic region (Africa, Asia, Europe, North America, Oceania and South America), the sampling year (2000&#x02013;2008 and after 2009), disease dynamic (enzootic and epizootic), detection method (conventional PCR, nested PCR, real-time PCR, histopathology examination and LAMP), host (caecilian, frog, salamander, toad, newt), season (spring, summer, autumn and winter), age (adult, subadult, juvenile and tadpole), IUCN category (least concern, near threatened, vulnerable, endangered, and critically endangered), sample source (forest, park, lake, pond, stream, and other sources), and quality level (middle quality and high quality).</p>
<p>We also analyzed the subgroup of geographical risk factors that influenced the heterogeneity (<xref ref-type="bibr" rid="B41">41</xref>), based on latitude (north latitude 0&#x02013;15&#x000B0;, north latitude 15&#x02013;30&#x000B0;, north latitude 30&#x02013;60&#x000B0;, south latitude 0&#x02013;20&#x000B0;, and south latitude 20&#x02013;40&#x000B0;), longitude (east longitude 0&#x02013;80&#x000B0;, east longitude 80&#x02013;120&#x000B0;, east longitude 120&#x02013;160&#x000B0;, west longitude 0&#x02013;100&#x000B0;, and west longitude 100&#x02013;160&#x000B0;), elevation (0&#x02013;100 m, 100&#x02013;500 m, 500&#x02013;1700 m, and 1700&#x02013;5000 m), monthly average rainfall (0&#x02013;50 mm, 50&#x02013;100 mm, 100&#x02013;150 mm, and &#x0003E;150 mm) and monthly average temperature (5&#x02013;16&#x000B0;C, 17&#x02013;25&#x000B0;C, and &#x0003E;26&#x000B0;C). In addition, each subgroup was jointly analyzed with regions to trace the source of heterogeneity. The heterogeneity of the covariates is explained in <italic>R</italic><sup>2</sup>.</p>
</sec>
</sec>
<sec sec-type="results" id="s4">
<title>Results</title>
<sec>
<title>Search Results and Qualification Studies</title>
<p>According to the inclusion criteria for each article, we finally selected 111 studies from the five databases for meta-analysis (<xref ref-type="fig" rid="F1">Figure 1</xref>), including 20 publications of medium quality (2&#x02013;3 points) and 91 publications of high quality (4 or 5 points; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 4</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flow diagram of the study screening process of inclusion and exclusion of studies.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-08-791237-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Publication Bias and Sensitivity Analysis</title>
<p>The results of our funnel plots could not directly judge whether there was publication bias in the included studies (<xref ref-type="fig" rid="F2">Figure 2</xref>), but the result of an Egger&#x00027;s test demonstrated that there was no publication bias (<italic>P</italic> &#x0003E; 0.05; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>). A forest plot illustrated the prevalence estimates of <italic>Bd</italic> in amphibians worldwide, showing an obvious heterogeneity between studies (&#x003C7;<sup>2</sup> = 11, 374.69, P = 0; I<sup>2</sup> = 99.00%, 95% CI: 13.76&#x02013;20.52; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>). Finally, the sensitivity analysis clarified the data reliability, when excluding any one study, the estimate values laid within the 95% CI of the respective overall prevalence, and had no significant influence (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Funnel plot of the analysis publications bias of studies.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-08-791237-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Results of Meta-Analysis</title>
<p>A total of 50,985 amphibians were surveyed, and the prevalence of <italic>Bd</italic> in amphibians worldwide was 18.54% (95% CI: 13.76&#x02013;20.52; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>). The detailed <italic>Bd</italic> prevalence in amphibians from different regions ranged from 7.88% (95% CI: 1.92&#x02013;8.71) to 36.34% (95% CI: 11.31&#x02013;46.52; <xref ref-type="table" rid="T1">Table 1</xref>). The prevalence was lower in Asia than in other continents (<italic>P</italic> &#x0003C; 0.05; <xref ref-type="table" rid="T1">Table 1</xref>). Furthermore, the prevalence of <italic>Bd</italic> varied among countries (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>). Venezuela had the highest prevalence at 49.77% (95% CI: 45.92&#x02013;53.62), and the lowest prevalence was Benin, Burkina Faso, Cameroon, C&#x000F4;te d&#x00027;Ivoire, Ghana, Guinea, Liberia, Madagascar, Papua New Guinea, Ireland, Sierra Leone and Vietnam at 0.00% (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>; <xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Pooled worldwide prevalence of <italic>Batrachochytrium dendrobatidis</italic> by region.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Factor</bold></th>
<th valign="top" align="left"><bold>Category</bold></th>
<th valign="top" align="center"><bold>No. studies</bold></th>
<th valign="top" align="center"><bold>No. tested</bold></th>
<th valign="top" align="center"><bold>No. positive</bold></th>
<th valign="top" align="center"><bold>Prevalence (%) (95% <xref ref-type="table-fn" rid="TN1">CI<sup>&#x0002A;</sup></xref>)</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="3"><bold>Heterogeneity</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="2"><bold>Univariate meta-regression</bold></th>
<th valign="top" align="center"><bold>Joint <xref ref-type="table-fn" rid="TN2">analysis<sup>&#x0002A;</sup></xref></bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>&#x003C7;<sup>2</sup></bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold><italic>I</italic><sup>2</sup> (%)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>Coefficient (95% CI)</bold></th>
<th valign="top" align="center"><bold><xref ref-type="table-fn" rid="TN3">R<sup>2&#x0002A;</sup></xref>-region</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Region</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.0007</td>
<td valign="top" align="center">&#x02212;0.2246 (&#x02212;0.3546 to &#x02212;0.0946)</td>
<td valign="top" align="center">18.04%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Africa</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">3,634</td>
<td valign="top" align="center">475</td>
<td valign="top" align="center">13.07% (2.49&#x02013;24.25)</td>
<td valign="top" align="center">1083.42</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">99.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Asia</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">9,113</td>
<td valign="top" align="center">718</td>
<td valign="top" align="center">7.88% (1.92&#x02013;8.71)</td>
<td valign="top" align="center">671.83</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Europe</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">9,038</td>
<td valign="top" align="center">976</td>
<td valign="top" align="center">10.80% (6.34&#x02013;14.39)</td>
<td valign="top" align="center">481.09</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">97.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">North America</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">21,767</td>
<td valign="top" align="center">4,623</td>
<td valign="top" align="center">21.24% (14.20&#x02013;24.16)</td>
<td valign="top" align="center">4573.64</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.90%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Oceania</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">3,767</td>
<td valign="top" align="center">1,369</td>
<td valign="top" align="center">36.34% (11.31&#x02013;46.52)</td>
<td valign="top" align="center">1398.02</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">99.40%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">South America</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">3,666</td>
<td valign="top" align="center">1,291</td>
<td valign="top" align="center">35.21% (24.89&#x02013;41.92)</td>
<td valign="top" align="center">258.85</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">96.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sampling years</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.6350</td>
<td valign="top" align="center">0.0220 (&#x02212;0.0687 to 0.1126)</td>
<td valign="top" align="center">14.55%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">2000&#x02013;2008</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">18,884</td>
<td valign="top" align="center">3,851</td>
<td valign="top" align="center">20.39% (13.33&#x02013;25.30)</td>
<td valign="top" align="center">5388.99</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">99.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">After 2009</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">27,369</td>
<td valign="top" align="center">5,176</td>
<td valign="top" align="center">18.91% (13.23&#x02013;21.56)</td>
<td valign="top" align="center">5229.69</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.80%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Disease dynamic</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.4853 (0.2689&#x02013;0.7017)</td>
<td valign="top" align="center">23.05%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Enzootic</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">35,533</td>
<td valign="top" align="center">5,729</td>
<td valign="top" align="center">16.12% (10.50&#x02013;17.95)</td>
<td valign="top" align="center">7092.52</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">99.00%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Epizootic</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1,064</td>
<td valign="top" align="center">312</td>
<td valign="top" align="center">29.32% (32.13&#x02013;84.63)</td>
<td valign="top" align="center">126.42</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">96.80%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Detection method</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.0045</td>
<td valign="top" align="center">&#x02212;0.2823 (&#x02212;0.4769 to &#x02212;0.0877)</td>
<td valign="top" align="center">20.48%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Conventional PCR</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">9,414</td>
<td valign="top" align="center">1,721</td>
<td valign="top" align="center">18.28% (12.30&#x02013;28.32)</td>
<td valign="top" align="center">1531.27</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.80%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Nested PCR</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">5,595</td>
<td valign="top" align="center">703</td>
<td valign="top" align="center">12.56% (11.46&#x02013;34.35)</td>
<td valign="top" align="center">567.85</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.90%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Real-time PCR</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">34,828</td>
<td valign="top" align="center">7,003</td>
<td valign="top" align="center">20.11% (13.12&#x02013;21.38)</td>
<td valign="top" align="center">8779.72</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">99.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Histopathology examination</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2,254</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">3.42% (0.05&#x02013;6.61)</td>
<td valign="top" align="center">141.03</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">96.50%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left"><xref ref-type="table-fn" rid="TN4">LAMP<sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">456</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00% (0.00&#x02013;0.38)</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Host</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.0407</td>
<td valign="top" align="center">0.0793 (0.0034&#x02013;0.1553)</td>
<td valign="top" align="center">15.21%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Caecilian</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00% (0.00&#x02013;17.89)</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.00%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Frog</td>
<td valign="top" align="center">88</td>
<td valign="top" align="center">33,010</td>
<td valign="top" align="center">6,615</td>
<td valign="top" align="center">20.04% (13.52&#x02013;21.71)</td>
<td valign="top" align="center">8199.42</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.90%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Salamander</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">4,603</td>
<td valign="top" align="center">642</td>
<td valign="top" align="center">13.95% (2.36&#x02013;16.86)</td>
<td valign="top" align="center">1575.65</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Toad</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">8,164</td>
<td valign="top" align="center">1,256</td>
<td valign="top" align="center">15.38% (6.16&#x02013;14.92)</td>
<td valign="top" align="center">1144.52</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">96.20%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Newt</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">1,270</td>
<td valign="top" align="center">208</td>
<td valign="top" align="center">16.38% (1.84&#x02013;19.08)</td>
<td valign="top" align="center">115.82</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">92.20%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Ages</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.0528</td>
<td valign="top" align="center">&#x02212;0.1396 (&#x02212;0.2809 to 0.017)</td>
<td valign="top" align="center">20.66%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Adult</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">18,492</td>
<td valign="top" align="center">4,487</td>
<td valign="top" align="center">24.26% (16.43&#x02013;28.75)</td>
<td valign="top" align="center">4484.73</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.90%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Subadult</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">336</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">8.93% (5.23&#x02013;71.43)</td>
<td valign="top" align="center">66.47</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">94.00%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Juvenile</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">1,897</td>
<td valign="top" align="center">807</td>
<td valign="top" align="center">42.54% (17.68&#x02013;49.64)</td>
<td valign="top" align="center">519.63</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">97.70%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Tadpole</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">2,898</td>
<td valign="top" align="center">343</td>
<td valign="top" align="center">11.84% (4.71&#x02013;25.62)</td>
<td valign="top" align="center">1028.73</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.30%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Season</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.1249</td>
<td valign="top" align="center">0.0998 (&#x02212;0.0277 to 0.2273)</td>
<td valign="top" align="center">10.80%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Spring</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">6,057</td>
<td valign="top" align="center">1,264</td>
<td valign="top" align="center">20.87% (14.78&#x02013;31.62)</td>
<td valign="top" align="center">1879.08</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.30%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Summer</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">8,831</td>
<td valign="top" align="center">1,754</td>
<td valign="top" align="center">19.86% (8.51&#x02013;22.97)</td>
<td valign="top" align="center">2720.77</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.60%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Autumn</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">1,001</td>
<td valign="top" align="center">99</td>
<td valign="top" align="center">9.89% (3.48&#x02013;26.91)</td>
<td valign="top" align="center">198.08</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">95.50%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Winter</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2,725</td>
<td valign="top" align="center">453</td>
<td valign="top" align="center">16.62% (1.72&#x02013;26.41)</td>
<td valign="top" align="center">1484.78</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.90%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">IUCN category</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.4707</td>
<td valign="top" align="center">0.0703 (&#x02212;0.1206 to 0.2612)</td>
<td valign="top" align="center">15.51%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Least concern</td>
<td valign="top" align="center">86</td>
<td valign="top" align="center">32,033</td>
<td valign="top" align="center">5,225</td>
<td valign="top" align="center">16.31% (11.52&#x02013;18.72)</td>
<td valign="top" align="center">6682.75</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.70%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Near threatened</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">2,185</td>
<td valign="top" align="center">373</td>
<td valign="top" align="center">17.07% (9.78&#x02013;28.53)</td>
<td valign="top" align="center">445.02</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">94.20%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Vulnerable</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">1,323</td>
<td valign="top" align="center">570</td>
<td valign="top" align="center">43.08% (3.25&#x02013;36.86)</td>
<td valign="top" align="center">527.76</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">95.60%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Endangered</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">2,040</td>
<td valign="top" align="center">486</td>
<td valign="top" align="center">23.82% (4.94&#x02013;24.54)</td>
<td valign="top" align="center">636.66</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">95.80%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Critically endangered</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">467</td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">28.48% (0.00&#x02013;57.62)</td>
<td valign="top" align="center">383.99</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">97.90%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sample source</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.0920</td>
<td valign="top" align="center">&#x02212;0.1985 (&#x02212;0.4294 to 0.0324)</td>
<td valign="top" align="center">0.00%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Forest</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">2,900</td>
<td valign="top" align="center">597</td>
<td valign="top" align="center">20.59% (3.92&#x02013;33.53)</td>
<td valign="top" align="center">1461.70</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">99.00%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Park</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">728</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">15.25% (0.00&#x02013;12.87)</td>
<td valign="top" align="center">92.09</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">93.50%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Lake</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">569</td>
<td valign="top" align="center">89</td>
<td valign="top" align="center">15.64% (7.95&#x02013;34.77)</td>
<td valign="top" align="center">43.08</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">93.00%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Pond</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">4,975</td>
<td valign="top" align="center">913</td>
<td valign="top" align="center">18.35% (11.31&#x02013;23.12)</td>
<td valign="top" align="center">497.39</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">96.00%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Stream</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">3,960</td>
<td valign="top" align="center">915</td>
<td valign="top" align="center">23.11% (11.05&#x02013;36.73)</td>
<td valign="top" align="center">1519.28</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.60%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left"><xref ref-type="table-fn" rid="TN5">Others<sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">384</td>
<td valign="top" align="center">85</td>
<td valign="top" align="center">22.13% (0.51&#x02013;39.93)</td>
<td valign="top" align="center">105.69</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">96.20%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Quality level</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.0847</td>
<td valign="top" align="center">0.1010 (&#x02212;0.0138 to 0.2159)</td>
<td valign="top" align="center">18.66%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Middle</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">7,765</td>
<td valign="top" align="center">808</td>
<td valign="top" align="center">10.41% 6.55&#x02013;16.59)</td>
<td valign="top" align="center">895.50</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">97.90%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">High</td>
<td valign="top" align="center">91</td>
<td valign="top" align="center">43,220</td>
<td valign="top" align="center">9,644</td>
<td valign="top" align="center">20.00% (14.65&#x02013;22.50)</td>
<td valign="top" align="center">10020.32</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">99.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td/>
<td valign="top" align="center">111</td>
<td valign="top" align="center">50,985</td>
<td valign="top" align="center">9,452</td>
<td valign="top" align="center">18.54% (13.76&#x02013;20.52)</td>
<td valign="top" align="center">11374.69</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">99.00%</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><p><italic>CI<sup>&#x0002A;</sup> Confidence interval</italic>.</p></fn>
<fn id="TN2"><p><italic>Joint analysis<sup>&#x0002A;</sup> with prevalence of regions in worldwide;</italic></p></fn>
<fn id="TN4"><p><italic>R<sup>2&#x0002A;</sup>: Proportion of between-study variance explained</italic>.</p></fn>
<fn id="TN3"><p><italic>LAMP<sup>&#x0002A;</sup>, Loop-mediated isothermal amplification</italic>.</p></fn>
<fn id="TN5"><p><italic>Others<sup>&#x0002A;</sup>, Wetland (2), Road (3)</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Map of the prevalence of <italic>Batrachochytrium dendrobatidis</italic> in amphibians worldwide.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-08-791237-g0003.tif"/>
</fig>
<p>We next estimated the possible potential risk factors for <italic>Bd</italic> prevalence, including geographical distribution, sampling year, detection methods, host, season, age, IUCN category and sample source (<xref ref-type="table" rid="T1">Table 1</xref>). The geographical distribution, disease dynamic, detection method and host were identified as main potential risk factors for <italic>Bd</italic> prevalence (<italic>P</italic> &#x0003C; 0.05). The pooled prevalence of <italic>Bd</italic> in the 2000&#x02013;2008 group was 20.39% (95% CI: 13.33&#x02013;25.30), which was higher than 18.91% (95% CI: 13.23&#x02013;21.56) in the after 2009 group (<xref ref-type="table" rid="T1">Table 1</xref>). The epizootic disease had a significantly higher prevalence of 29.32% (95% CI: 32.13&#x02013;84.63) relative to enzootic disease. Between real-time PCR, nested PCR, conventional PCR, histopathology examination and LAMP, the first method detected the highest prevalence at 20.11% (95% CI: 13.12&#x02013;21.38). However, the frogs had the highest prevalence of 20.04% (95% CI: 13.52&#x02013;21.71) relative to other groups. The prevalence of <italic>Bd</italic> in juvenile amphibians was higher at 42.54% (95% CI: 17.68&#x02013;49.64) than the prevalence in other ages. Meanwhile, we found that the prevalence in spring was higher at 20.87% (95% CI: 14.78&#x02013;31.62) than in other seasons. The prevalence in vulnerable amphibians was 43.08% (95% CI: 3.25&#x02013;36.86) and was higher than in other categories. However, the prevalence from stream samples was higher at 23.11% (95% CI: 11.05&#x02013;36.73) than in other sample sources.</p>
<p>Following this, we analyzed the geographical factors subgroup factors including latitude, longitude, elevation, monthly average rainfall and monthly average temperature (<xref ref-type="table" rid="T2">Table 2</xref>). The <italic>Bd</italic> prevalence in the south latitude range (20&#x02013;40&#x000B0;; 32.38%, 95% CI: 16.83&#x02013;40.35) and in the west longitude range (100&#x02013;160&#x000B0;; 31.81%, 95% CI: 14.17&#x02013;41.80) was significantly higher than other latitude and longitude ranges (<italic>P</italic> &#x0003C; 0.05). In the 1,700&#x02013;5,000 m elevation, the prevalence was 33.15% (95% CI: 9.64&#x02013;34.27), which was significantly higher than other elevation ranges (<italic>P</italic> &#x0003C; 0.05). The monthly average rainfall in the over 150 mm precipitation range had the highest prevalence at 28.58% (95% CI: 12.69&#x02013;30.42). The prevalence in the monthly average temperature range of 17&#x02013;25&#x000B0;C reached 26.48% (95% CI: 18.18&#x02013;38.13), which was significantly higher than other temperature ranges (<italic>P</italic> &#x0003C; 0.05). The heterogeneity of each subgroup was explained by region (the covariate), ranging from 0 to 30.53% (<italic>R</italic><sup>2</sup>-region) (<xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Estimated pooled prevalence of <italic>Batrachochytrium dendrobatidis</italic> by geographical factor.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Factor</bold></th>
<th valign="top" align="left"><bold>Category</bold></th>
<th valign="top" align="center"><bold>No. studies</bold></th>
<th valign="top" align="center"><bold>No. tested</bold></th>
<th valign="top" align="center"><bold>No. positive</bold></th>
<th valign="top" align="center"><bold>Prevalence (%) (95% CI&#x0002A;)</bold></th>
<th valign="top" align="center" colspan="3"><bold>Heterogeneity</bold></th>
<th valign="top" align="center" colspan="2"><bold>Univariate meta-regression</bold></th>
<th valign="top" align="center"><bold>Joint analysis</bold></th>
</tr>
</thead>
<tbody>
<tr style="border-bottom: thin solid #000000;">
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center"><italic><bold>&#x003C7;</bold></italic><sup>2</sup></td>
<td valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></td>
<td valign="top" align="center"><italic><bold>I</bold></italic><sup>2</sup> <bold>(%)</bold></td>
<td valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></td>
<td valign="top" align="center"><bold>Coefficient (95% CI)</bold></td>
<td valign="top" align="center"><bold>R<sup>2</sup>-region</bold></td>
</tr>
<tr>
<td valign="top" align="left">Elevation</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.0429</td>
<td valign="top" align="center">&#x02212;0.1033 (&#x02212;0.2033 to &#x02212;0.0033)</td>
<td valign="top" align="center">30.53%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">0&#x02013;100 m</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">8,226</td>
<td valign="top" align="center">864</td>
<td valign="top" align="center">10.50% (5.75&#x02013;12.12)</td>
<td valign="top" align="center">772.68</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">95.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">100&#x02013;500 m</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">7,613</td>
<td valign="top" align="center">956</td>
<td valign="top" align="center">12.56% (6.59&#x02013;16.58)</td>
<td valign="top" align="center">1412.29</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">97.40%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">500&#x02013;1700 m</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">10,006</td>
<td valign="top" align="center">2,570</td>
<td valign="top" align="center">25.68% (10.46&#x02013;23.85)</td>
<td valign="top" align="center">3939.94</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.60%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">1700&#x02013;5000 m</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">2,742</td>
<td valign="top" align="center">909</td>
<td valign="top" align="center">33.15% (9.64&#x02013;34.27)</td>
<td valign="top" align="center">1155.42</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Latitude</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.0206</td>
<td valign="top" align="center">0.1571 (0.0241&#x02013;0.2902)</td>
<td valign="top" align="center">12.19%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">0&#x02013;15&#x000B0;N</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">9,626</td>
<td valign="top" align="center">1,528</td>
<td valign="top" align="center">15.87% (7.77&#x02013;20.09)</td>
<td valign="top" align="center">1774.75</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.70%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">0&#x02013;20&#x000B0;S</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">2,431</td>
<td valign="top" align="center">555</td>
<td valign="top" align="center">22.83% (5.92&#x02013;42.19)</td>
<td valign="top" align="center">1249.07</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">99.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">15&#x02013;30&#x000B0;N</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">4,014</td>
<td valign="top" align="center">858</td>
<td valign="top" align="center">21.38% (5.84&#x02013;30.56)</td>
<td valign="top" align="center">1830.32</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">99.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">20&#x02013;40&#x000B0;S</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">4,367</td>
<td valign="top" align="center">1,414</td>
<td valign="top" align="center">32.38% (16.83&#x02013;40.35)</td>
<td valign="top" align="center">1059.28</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.70%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">30&#x02013;60&#x000B0;N</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">21,109</td>
<td valign="top" align="center">3,051</td>
<td valign="top" align="center">14.45% (9.96&#x02013;18.74)</td>
<td valign="top" align="center">3470.40</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.80%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Longitude</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.0193</td>
<td valign="top" align="center">0.1562 (0.0253&#x02013;0.2871)</td>
<td valign="top" align="center">15.59%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">0&#x02013;80&#x000B0;E</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">10,019</td>
<td valign="top" align="center">1,184</td>
<td valign="top" align="center">11.82% (6.00&#x02013;15.76)</td>
<td valign="top" align="center">1197.09</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.20%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">0&#x02013;100&#x000B0;W</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">17,178</td>
<td valign="top" align="center">2,993</td>
<td valign="top" align="center">17.42% (11.98&#x02013;21.10)</td>
<td valign="top" align="center">3241.46</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.40%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">80&#x02013;120&#x000B0;E</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">2,299</td>
<td valign="top" align="center">185</td>
<td valign="top" align="center">8.05% (1.41&#x02013;16.36)</td>
<td valign="top" align="center">450.51</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">97.80%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">100&#x02013;160&#x000B0;W</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">4,049</td>
<td valign="top" align="center">1,288</td>
<td valign="top" align="center">31.81% (14.17&#x02013;41.80)</td>
<td valign="top" align="center">1474.84</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">99.00%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">120&#x02013;160&#x000B0;E</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">8,515</td>
<td valign="top" align="center">1,764</td>
<td valign="top" align="center">20.72% (6.66&#x02013;31.04)</td>
<td valign="top" align="center">2945.45</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">99.50%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Rainfall</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.9431</td>
<td valign="top" align="center">&#x02212;0.0042 (&#x02212;0.1191 to 0.1107)</td>
<td valign="top" align="center">3.47%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">0&#x02013;50 mm</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">3,798</td>
<td valign="top" align="center">702</td>
<td valign="top" align="center">18.48% 13.60&#x02013;30.72)</td>
<td valign="top" align="center">562.71</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">97.30%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">50&#x02013;100 mm</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">5,855</td>
<td valign="top" align="center">1,282</td>
<td valign="top" align="center">21.90% (12.29&#x02013;31.28)</td>
<td valign="top" align="center">980.61</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.20%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">100&#x02013;150 mm</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">3,606</td>
<td valign="top" align="center">673</td>
<td valign="top" align="center">18.66% (13.05&#x02013;30.37)</td>
<td valign="top" align="center">665.95</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">97.10%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x0003E;150 mm</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">6,336</td>
<td valign="top" align="center">1,811</td>
<td valign="top" align="center">28.58% (12.69&#x02013;30.42)</td>
<td valign="top" align="center">1295.02</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">98.50%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Temperature</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.0429</td>
<td valign="top" align="center">0.1288 (0.0041&#x02013;0.2534)</td>
<td valign="top" align="center">0.00%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">5&#x02013;16&#x000B0;C</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">6,025</td>
<td valign="top" align="center">1,211</td>
<td valign="top" align="center">20.10% (10.47&#x02013;24.93)</td>
<td valign="top" align="center">1094.83</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">97.80%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">17&#x02013;25&#x000B0;C</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">6,311</td>
<td valign="top" align="center">1,671</td>
<td valign="top" align="center">26.48% (18.18&#x02013;38.13)</td>
<td valign="top" align="center">1899.14</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">98.70%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x0003E;26&#x000B0;C</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">2,814</td>
<td valign="top" align="center">450</td>
<td valign="top" align="center">15.99% (5.89&#x02013;22.13)</td>
<td valign="top" align="center">406.34</td>
<td valign="top" align="center">&#x0003C;0.01</td>
<td valign="top" align="center">96.60%</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>Chytridiomycosis is a worldwide infectious disease of amphibians, causing a decrease in biodiversity and a loss of economic benefits (<xref ref-type="bibr" rid="B42">42</xref>). Detailed knowledge of the epidemiological status of chytridiomycosis in amphibians provides a foundation for implementing efficient protective measures.</p>
<p>Therefore, we conducted a systematic review and meta-analysis of global <italic>Bd</italic> infection. The overall prevalence of <italic>Bd</italic> in amphibians worldwide from 2000 to 2021 was 18.54% (95% CI: 13.76&#x02013;20.52; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>).</p>
<p>In 2008, Office International des Epizooties (OIE) listed <italic>Batrachochytrium dendrobatidis</italic> as notifiable pathogen, because the international community recognized the impact of the global trade in amphibians on the spreading of chytridiomycosis (<xref ref-type="bibr" rid="B43">43</xref>). This legislation enabled countries connected to the World Trade Organization to specifically detect and restrict the trade of infected amphibians. Therefore, we chose 2008 as the entry point for our analysis of <italic>Bd</italic> infection in amphibians worldwide. We found that the <italic>Bd</italic> prevalence (18.91%) decreased after this policy was enacted (<xref ref-type="table" rid="T1">Table 1</xref>). Implementing similar policies might help to reduce <italic>Bd</italic> infection. Therefore, we suggest that more relevant legislation be implemented to protect amphibian species.</p>
<p>In our study, the <italic>Bd</italic> prevalence in South America and Oceania was basically the same and significantly higher than that in Asia (<italic>P</italic> &#x0003C; 0.05; <xref ref-type="table" rid="T1">Table 1</xref>). In view of our geographic subgroup analysis, we found that the highest <italic>Bd</italic> prevalence was in the latitude range 20&#x02013;40&#x000B0;S and the longitude range 100&#x02013;160&#x000B0;W (<xref ref-type="table" rid="T2">Table 2</xref>), which is also mainly concentrated in Oceania, Africa, South America and North America. Although <italic>Bd</italic> infection is mostly global, the distribution of fungus causing amphibian deaths has so far been limited to a few regions, mainly in Oceania, South America and North America (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Similarly, we found a high <italic>Bd</italic> prevalence in Australia, Brazil, Peru, Venezuela, Mexico, and the United States (21&#x02013;49%; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>). However, there were some areas where the prevalence of <italic>Bd</italic> was zero, mostly in Africa and Asia (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>), which may be under-explored studies on the dynamics of amphibian chytridiomycosis (<xref ref-type="bibr" rid="B45">45</xref>). Or maybe frog populations in Africa have co-evolved with <italic>Bd</italic> to show resistance, even if the <italic>Bd</italic> was originated Africa (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B46">46</xref>). When the elevation was between 1,700 and 5,000 m, the prevalence was significantly higher than that in the 0&#x02013;100, 100&#x02013;500, and 500&#x02013;1,700 m groups (<italic>P</italic> &#x0003C; 0.05; <xref ref-type="table" rid="T2">Table 2</xref>). The joint analysis showed that regions explained 30.53% of heterogeneity in elevation subgroup (<xref ref-type="table" rid="T2">Table 2</xref>). These results may be due to the fact that different continents have different elevation characteristics. At high elevation areas, the prevalence of <italic>Bd</italic> increased and the survival rate of infected amphibians have been shown to be reduced (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>). In the entire Neotropical region, environmental conditions not only promote the abundance and diversity of amphibians, but also contribute to the growth and survival of <italic>Bd</italic>, especially in the cool and humid environments of many uplands (<xref ref-type="bibr" rid="B13">13</xref>). In central America, most amphibian declines occurred at elevations above 500 m (<xref ref-type="bibr" rid="B49">49</xref>). Since <italic>Bd</italic> is dependent on aquatic habitats (<xref ref-type="bibr" rid="B50">50</xref>) and intolerant to desiccation (<xref ref-type="bibr" rid="B51">51</xref>), higher levels of precipitation favor moist microhabitats and promote its growth and development (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>). The prevalence and infection intensity of chytridiomycosis are significantly correlated with temperature and rainfall in eastern Australia (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>). High environmental humidity may have promoted the growth of <italic>Bd</italic>, which is associated with high disease severity (<xref ref-type="bibr" rid="B56">56</xref>). In order to prevent the spread of <italic>Bd</italic> between various regions, we suggest that the domestic and international trade in amphibians should follow the veterinary supervision and quarantine guidelines issued by the IUCN and the OIE (<xref ref-type="bibr" rid="B43">43</xref>). According to the environmental conditions of specific locations and habitats, comprehensively evaluate the distribution, prevalence and infection intensity of <italic>Bd</italic>, and formulate more effective disease management strategies. In high-prevalence areas of <italic>Bd</italic> (more at risk compared to those in low-prevalence areas), more precautionary measures should be taken. These measures could include 1) closely stricter monitoring (increased intensity of supervisory personnel) the health of amphibians entering and exiting these areas and 2) continuously check the prevalence of <italic>Bd</italic> in amphibian habitats in these areas. If <italic>Bd</italic> is identified, fungicides could be used to control its spread (<xref ref-type="bibr" rid="B57">57</xref>).</p>
<p>For the seasonal subgroup, amphibians had the highest prevalence in spring (<xref ref-type="table" rid="T1">Table 1</xref>). The occurrence of chytridiomycosis has obvious seasonality (<xref ref-type="bibr" rid="B58">58</xref>). The fungal prevalence and infection intensity decreased from spring to summer within a population of frogs, which can clear fungal infections later in summer and at higher temperatures (<xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>). <italic>Bd</italic> is usually not randomly distributed in amphibian communities (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B61">61</xref>), but rather is closely related to changes in microclimatic conditions. Therefore, we analyzed the most suitable conditions for <italic>Bd</italic> growth in combination with temperature and rainfall subgroups. Our results showed that amphibians were more susceptible to <italic>Bd</italic> infections at a temperature of 17&#x02013;25&#x000B0;C (<italic>P</italic> &#x0003C; 0.05) and in rainfall of &#x0003E;150 mm (<xref ref-type="table" rid="T2">Table 2</xref>). On large geographic scales, temperatures and rainfall are the most fatal environmental factors affecting the occurrence of fungi, increasing the possibility of infection and transmission (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B62">62</xref>). In view of the environmental scope of the above areas, we recommend multiple methods to control the spread of diseases such as <italic>Bd</italic>. Chemical methods are used in small epidemic areas, such as antifungal itraconazole, as well as environmental disinfectants (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B63">63</xref>). Bio-augmentation methods have been proposed for more complex ecological environment, such as enhancing the amphibian cutaneous probiotic microorganisms (which can inhibit the growth of <italic>Bd</italic>) and vaccination to prevent fungal invasion (<xref ref-type="bibr" rid="B64">64</xref>).</p>
<p>In the 111 articles surveyed here, real-time PCR methods had a higher <italic>Bd</italic> prevalence (<xref ref-type="table" rid="T1">Table 1</xref>). Real-time PCR is more sensitive than traditional PCR and histopathology examination, with a higher and faster detection rate, making the results more objective rather than subjective (<xref ref-type="bibr" rid="B65">65</xref>). It can accurately detect <italic>Bd</italic> infection intensity in degraded samples or the low levels of organisms, increasing the detection of prevalence, and it is suitable for wildlife, laboratory animals, and the food trade as well as environmental samples (<xref ref-type="bibr" rid="B66">66</xref>). Therefore, most researchers prefer to use the real-time PCR method for the detection of <italic>Bd</italic> as early as possible. In addition, there are articles using nested PCR and Loop-mediated isothermal amplification (LAMP). Nested PCR and LAMP hhhimprove the sensitivity of traditional PCR, but are more prone to contamination (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>). Consequently, they have been rarely widely used. In fact, the use of appropriate detection methods is vital for helping relevant personnel obtain accurate testing data and better understand the epidemic status of a disease.</p>
<p>Among <italic>Bd</italic> infections in amphibians of different ages, the point estimate of juveniles was higher than the other three age ranges, but this was not significant (<italic>P</italic> = 0.0528; <xref ref-type="table" rid="T1">Table 1</xref>). The susceptibility to <italic>Bd</italic> was shown to vary at the different stages of life (<xref ref-type="bibr" rid="B61">61</xref>). The results have shown that the <italic>Bd</italic> prevalence in younger life stages was higher than in older life stages (larvae: 18.7%, juveniles: 40%, sub-adults: 5.5%; adults: 6.6%), and that juvenile stages had the highest prevalence of <italic>Bd</italic> (<xref ref-type="bibr" rid="B69">69</xref>). As frogs get older, <italic>Bd</italic> infection can be cleared (<xref ref-type="bibr" rid="B70">70</xref>). Fungi have mobile zoospores that have the ability to spread rapidly in water, which might promote tadpole infections (<xref ref-type="bibr" rid="B71">71</xref>), but tadpoles rarely died from these infections (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B72">72</xref>). Thus, tadpoles might be the reservoirs for this disease and increase the activity of this <italic>Bd</italic> in the environment, leading to the infection of adult specimens (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B73">73</xref>). Therefore, we recommend that relevant personnel pay attention to the detection <italic>Bd</italic> of tadpoles and juvenile amphibians, and control the fungal loads in environments where tadpoles live to reduce the prevalence.</p>
<p>Water sources can be one of the environmental reservoirs of <italic>Bd</italic>, because it can survive in water alone for several weeks (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B74">74</xref>). In a subgroup analysis of sample sources, the <italic>Bd</italic> prevalence of amphibians inhabiting streams was shown to be higher than in other places (<xref ref-type="table" rid="T1">Table 1</xref>). However, species living on roads had the lowest prevalence. Therefore, especially cooler and shaded lentic streams might be more conducive to <italic>Bd</italic> transmission among amphibians (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B76">76</xref>). Thus, we analyzed the subgroups of different hosts, and frogs had the highest prevalence (<italic>P</italic> &#x0003C; 0.05; <xref ref-type="table" rid="T1">Table 1</xref>). There was a great difference in the degree of <italic>Bd</italic> infection between anurans (frogs and toads) and caudates (salamanders and newts) (<xref ref-type="bibr" rid="B72">72</xref>). According to statistical data, 36% of caudates are terrestrial, while only 1.7% of anurans are terrestrial (<xref ref-type="bibr" rid="B77">77</xref>). Therefore, species living longer in water were more susceptible to infection (<xref ref-type="bibr" rid="B78">78</xref>). In the light of the IUCN classification of amphibians, the prevalence of <italic>Bd</italic> in vulnerable species was the highest at 43.08% (<xref ref-type="table" rid="T1">Table 1</xref>). Many species were listed as threatened by the IUCN, because they were infected with <italic>Bd</italic> resulting in population declines (<xref ref-type="bibr" rid="B79">79</xref>). Therefore, we propose strengthening the protective measures for those habitats that are suitable for <italic>Bd</italic> growth, such as manipulating the habitat environment for temperature or humidity and for endangered species, captive breeding may be established to ensure populations.</p>
<p>In our research, there were 20 medium-quality articles and 91 high-quality articles (<xref ref-type="table" rid="T1">Table 1</xref>). In the medium quality articles, we found that some of them did not have random sampling, definite sampling time, sampling location or clear detection methods (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 4</xref>). Since these medium-quality articles did not provide detailed data, the potential risk factors of <italic>Bd</italic> infection cannot be accurately measured, leading to biased results. Thus, we recommend that researchers should find as many factors as possible influencing fungal infection, so as to more effectively prevent these diseases and lay scientific groundwork for future research work.</p>
<p>This study has many advantages, such as its rich sample size, comprehensive coverage, clear method of analyses and wide range of risk factor assessments, which provides many evidence-based substantive suggestions for combating <italic>Bd</italic> spread. However, this study has also some shortcomings. First, although corresponding search formula is applied to collect articles, all relevant studies could not be fully found. Second, there was no information about the susceptibility of a species to <italic>Bd</italic> infection, it could be a potentially important risk factor for the implementation of controls. Third, only 13 out of 111 studies included in the investigation reported explicitly using random sampling, but others could not be ruled out the possibility of random sampling, which could result in a slight publication bias in the funnel plots and Egger&#x00027;s test, even through no publication bias was detected in this study. Therefore, the future study design still need to be comprehensive, such as clearly disclosing their sampling details. However, we are convinced that our report can reflect the situation of chytridiomycosis spread worldwide.</p>
</sec>
<sec sec-type="conclusions" id="s6">
<title>Conclusion</title>
<p>Chytridiomycosis has a wide distribution range and affects various amphibian species at all ages. In the last decade, the prevalence of <italic>Bd</italic> has shown a decreasing trend, and temperature and elevation have significantly affected it. In addition, the use of real-time PCR methods could help researchers obtain a more accurate estimate of <italic>Bd</italic> prevalence in amphibians. Meanwhile, we thus should focus on highly sensitive species and those listed as threatened by the IUCN. Therefore, we suggest that governments should formulate a reasonable management based on different geographical conditions, habitat types and species status. This study helps further elucidate potential risk factors for <italic>Bd</italic> infection and also provides a theoretical basis for related personnel to prevent and control chytridiomycosis transmission.</p>
</sec>
<sec sec-type="data-availability" id="s7">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="ses" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>ZL performed the data extraction and drafted the manuscript. ZL and QW analyzed the data. KS and JF developed the paper concept, designed, supervised, and revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (grant numbers 31961123001, 32171525, and 31770403).</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="s10">
<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>
<ack><p>We thanked Dr. Qinglong Gong for his advice on the design and writing of the article.</p>
</ack>
<sec sec-type="supplementary-material" id="s11">
<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/fvets.2021.791237/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fvets.2021.791237/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"/></sec>
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