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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.2022.861115</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>Global Burden of Bacterial Skin Diseases: A Systematic Analysis Combined With Sociodemographic Index, 1990&#x02013;2019</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Xue</surname> <given-names>Yi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/677874/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Jie</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1544869/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Bei-Ni</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Yue</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Bao</surname> <given-names>Wu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cheng</surname> <given-names>Xia Lin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1296739/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>He</surname> <given-names>Yan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Chun Peng</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ren</surname> <given-names>Jun</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/491244/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zheng</surname> <given-names>Ya rong</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jia</surname> <given-names>Chi Yu</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="c003"><sup>&#x0002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Burns and Plastic &#x00026; Wound Repair Surgery, Xiang&#x00027;an Hospital of Xiamen University, School of Medicine, Xiamen University</institution>, <addr-line>Xiamen</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Medicine, Xiamen University</institution>, <addr-line>Xiamen</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Clinical Laboratory, Shanghai Ninth People&#x00027;s Hospital, Shanghai Jiaotong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Division of Plastic Surgery, Siming Branch of the First Affiliated Hospital of Xiamen University</institution>, <addr-line>Xiamen</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Dermatology, Zhongshan Hospital Xiamen University</institution>, <addr-line>Xiamen</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>Division of Plastic Surgery, Zhongshan Hospital Xiamen University</institution>, <addr-line>Xiamen</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Giusto Trevisan, University of Trieste, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Aldo Di Carlo, San Gallicano Hospital, Italy; Nicola Di Meo, University of Trieste, Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Jun Ren <email>renjun666&#x00040;126.com</email></corresp>
<corresp id="c002">Ya rong Zheng <email>13860423006&#x00040;163.com</email></corresp>
<corresp id="c003">Chi Yu Jia <email>jiachiyu&#x00040;qq.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Dermatology, a section of the journal Frontiers in Medicine</p></fn></author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>861115</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Xue, Zhou, Xu, Li, Bao, Cheng, He, Xu, Ren, Zheng and Jia.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Xue, Zhou, Xu, Li, Bao, Cheng, He, Xu, Ren, Zheng and Jia</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The latest incidence and disability-adjusted life-years (DALYs) of major bacterial skin diseases (BSD) and their relationship with socioeconomic are not readily available.</p>
</sec>
<sec>
<title>Objective</title>
<p>Describe the global age-standardized incidence and DALYs rates of BSD and analyze their relationship with socioeconomic.</p>
</sec>
<sec>
<title>Methods</title>
<p>All data were obtained from Global Burden of Disease (GBD) 2019 database. The correlation between BSD and socioeconomic development status was analyzed.</p>
</sec>
<sec>
<title>Results</title>
<p>The age-standardized incidence and age-standardized DALYs rate of BSD are: 169.72 million [165.28&#x02013;175.44] and 0.41 million [0.33&#x02013;0.48]. Of the two main BSD, pyoderma cause significantly much heavier burden than cellulitis. The change of age-standardized incidence (7.38% [7.06&#x02013;7.67]) and DALYs (&#x02212;10.27% [&#x02212;25.65 to 25.45]) rate of BSD presented an upward or downward trend from 1990 to 2019. The highest burden was in the low-middle sociodemographic index (SDI) area while the area with the lowest burden was recorded in the high-middle SDI area in 2019.</p>
</sec>
<sec>
<title>Limitations</title>
<p>GBD 2019 data of BSD are derived from estimation and mathematical modeling.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The burden of BSD is related to socioeconomic development status. The results based on GBD2019 data may benefit policymakers in guiding priority-setting decisions for the global burden of BSD.</p>
</sec></abstract>
<kwd-group>
<kwd>bacterial skin diseases</kwd>
<kwd>cellulitis</kwd>
<kwd>pyoderma</kwd>
<kwd>sociodemographic index</kwd>
<kwd>disability-adjusted life years</kwd>
<kwd>global burden</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="28"/>
<page-count count="11"/>
<word-count count="5914"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Skin diseases are common and have a great impact on patients&#x00027; quality of life (<xref ref-type="bibr" rid="B1">1</xref>). More than 1000 skin or skin-related diseases are listed above according to the 10 categories of human diseases in the International Classification of Diseases (<xref ref-type="bibr" rid="B2">2</xref>). Strikingly, skin and subcutaneous diseases ranked 18th in the global DALYs disease burden ranking (GBD2013), while skin diseases were the fourth leading cause of disability globally (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Amongst skin diseases, bacterial skin infections, which mainly include cellulitis and pyoderma, account for a great proportion (<xref ref-type="bibr" rid="B4">4</xref>). However, despite the profound impact of bacterial skin diseases on the global disease burden, there appears to be a lack of commensurate attention globally. With the aim of improving health systems and eliminate disparities, the Global Burden of Disease (GBD) database 2019 incorporates risk factors and other parameters, and covers more than 200 countries and regions from 1990 to 2019 (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>We combined the latest data from GBD 2019 to systematically analyse the relationship between bacterial skin disease and their relationship with socioeconomic. Changes in the burden of bacterial skin disease from 1990 to 2019 and potential impact of such changes were intensively investigated, implications of which may facilitate in formulating intervention strategies on a global scale.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Overview and Data Sources</title>
<p>About 369 diseases and injuries in 204 countries or regions, as well as behavioral (more than 80), occupational, environmental and other risk factors are included in the GBD2019 database (<xref ref-type="bibr" rid="B6">6</xref>). Age-standardized incidence and DALYs rates for bacterial skin diseases were calculated using GBD 2019 (<ext-link ext-link-type="uri" xlink:href="http://ghdx.healthdata.org/gbd-2019">http://ghdx.healthdata.org/gbd-2019</ext-link>).</p>
</sec>
<sec>
<title>DALYs</title>
<p>DALYs stands for the loss of 1 year of healthy life, therefore the burden of disease can be estimated based on DALYs. DALYs includes the years of life lost (YLL) to a disease, and years of disability (YLD) is estimated for each reason, age group, regions, sex and year (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>).</p>
</sec>
<sec>
<title>SDI</title>
<p>As a comprehensive indicator, SDI represents the geometric mean of the normalized value of the regional per capita income, the number of years of education of those 15 years old and above, and the total fertility rate (TFR) of women under 25, which is representative of the development of society and the population. The overall status of socioeconomic development can be stratified by the SDI. Specifically, GBD 2019 divides countries into five categories based on SDI indicators: high SDI, high-middle SDI, middle SDI, low-middle SDI and low SDI (<xref ref-type="bibr" rid="B9">9</xref>).</p>
</sec>
<sec>
<title>Uncertainty Analysis</title>
<p>This study was based on the assumptions that all the date (incidence or DALYs) were log-normally distributed. The 95% uncertainty interval was the 2.5th and 97.5th percentile. Prism 9.0.0 software and Adobe Photoshop 2021 were used for related graphics and images.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Burden of Major Types of Bacterial Skin Diseases</title>
<p>Skin disease, especially bacterial skin infections (including pyoderma and cellulitis), represent a significant global burden of disease (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Collectively, the age-standardized incidence of bacterial skin disease increased marginally from 1990 to 2019 (7.38% [7.06&#x02013;7.67], <xref ref-type="table" rid="T1">Table 1</xref>), whereas the DALYs showed a slightly decreasing trend (&#x02212;10.27% [&#x02212;25.65 to 25.45], <xref ref-type="table" rid="T1">Table 1</xref>). The age-standardized incidence rates of pyoderma remained consistently far beyond cellulitis (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). In 2019, age-standardized incidence rates were 146.84 million [143.21&#x02013;151.34] for pyoderma and 0.28 million [0.21&#x02013;0.34] for cellulitis (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Age-standardized incidence rate of major bacterial skin diseases in 2019, and change of age-standardized incidence rate for both sexes (1990&#x02013;2010 and 2010&#x02013;2019).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Group</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="2"><bold>Bacterial skin diseases</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="2"><bold>Cellulitis</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="2"><bold>Pyoderma</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Number of incident cases, 2019</bold></th>
<th valign="top" align="center"><bold>Annualised rate of change of age-standardized incidence(1990&#x02013;2019) (%)</bold></th>
<th valign="top" align="center"><bold>Number of incidence cases, 2019</bold></th>
<th valign="top" align="center"><bold>Annualised rate of change of age-standardized incidence (1990&#x02013;2019) (%)</bold></th>
<th valign="top" align="center"><bold>Number of incident cases, 2019</bold></th>
<th valign="top" align="center"><bold>Annualised rate of change of age-standardized incidence (1990&#x02013;2019) (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Global</td>
<td valign="top" align="center">14684.30(14321.55 to 15134.03)</td>
<td valign="top" align="center">7.38(7.06 to 7.67)</td>
<td valign="top" align="center">548.42(515.82 to 580.15)</td>
<td valign="top" align="center">&#x02212;6.15(&#x02212;6.76 to&#x02212;5.55)</td>
<td valign="top" align="center">14135.87(13766.18 to 14585.22)</td>
<td valign="top" align="center">7.99(7.64 to 8.30)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;High SDI</td>
<td valign="top" align="center">15276.52(14896.68 to 15673.53)</td>
<td valign="top" align="center">&#x02212;4.06(&#x02212;4.56 to&#x02212;3.56)</td>
<td valign="top" align="center">1611.70(1524.39 to 1695.94)</td>
<td valign="top" align="center">6.07(4.92 to 7.19)</td>
<td valign="top" align="center">13664.82(13279.56 to 14062.69)</td>
<td valign="top" align="center">&#x02212;5.13(&#x02212;5.69 to &#x02212;4.59)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;High-middle SDI</td>
<td valign="top" align="center">11010.68(10736.91 to 11356.88)</td>
<td valign="top" align="center">&#x02212;0.29(&#x02212;0.69 to 0.12)</td>
<td valign="top" align="center">393.24(368.49 to 417.64)</td>
<td valign="top" align="center">&#x02212;10.51(&#x02212;11.32 to&#x02212;9.70)</td>
<td valign="top" align="center">10617.45(10343.26 to 10966.78)</td>
<td valign="top" align="center">0.13(&#x02212;0.29 to 0.56)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Middle SDI</td>
<td valign="top" align="center">11974.15(11676.49 to 12338.95)</td>
<td valign="top" align="center">9.75(9.36 to 10.17)</td>
<td valign="top" align="center">326.80(304.80 to 349.61)</td>
<td valign="top" align="center">8.11(7.50 to 8.73)</td>
<td valign="top" align="center">11647.34(11348.28 to 12014.66)</td>
<td valign="top" align="center">9.80(9.40 to 10.22)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Low-middle SDI</td>
<td valign="top" align="center">18489.09(18017.94 to 19059.53)</td>
<td valign="top" align="center">4.69(4.09 to 5.26)</td>
<td valign="top" align="center">380.41(355.40 to 406.00)</td>
<td valign="top" align="center">4.79(4.16 to 5.40)</td>
<td valign="top" align="center">18108.69(17636.38 to 18682.22)</td>
<td valign="top" align="center">4.69(4.08 to 5.27)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Low SDI</td>
<td valign="top" align="center">16972.32(16528.17 to 17544.18)</td>
<td valign="top" align="center">&#x02212;1.60(&#x02212;2.15 to&#x02212;1.06)</td>
<td valign="top" align="center">336.14(313.60 to 358.93)</td>
<td valign="top" align="center">&#x02212;1.61(&#x02212;2.26 to &#x02212;0.96)</td>
<td valign="top" align="center">16636.19(16189.18 to 17199.82)</td>
<td valign="top" align="center">&#x02212;1.60(&#x02212;2.16 to &#x02212;1.05)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;High-income</td>
<td valign="top" align="center">15895.36(15486.56 to 16315.84)</td>
<td valign="top" align="center">&#x02212;2.87(&#x02212;3.36 to&#x02212;2.39)</td>
<td valign="top" align="center">1563.47(1477.34 to 1647.42)</td>
<td valign="top" align="center">9.14(8.05 to 10.22)</td>
<td valign="top" align="center">14331.89(13933.98 to 14762.22)</td>
<td valign="top" align="center">&#x02212;4.02(&#x02212;4.53 to&#x02212;3.53)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;High-income North America</td>
<td valign="top" align="center">4637.02(4467.79 to 4788.51)</td>
<td valign="top" align="center">3.81(2.90 to 4.75)</td>
<td valign="top" align="center">2952.51(2796.93 to 3102.02)</td>
<td valign="top" align="center">5.10(3.70 to 6.49)</td>
<td valign="top" align="center">1684.51(1640.28 to 1736.31)</td>
<td valign="top" align="center">1.64(0.88 to 2.45)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Australia</td>
<td valign="top" align="center">24964.52(24183.89 to 25818.02)</td>
<td valign="top" align="center">1.27(&#x02212;0.69 to 3.47)</td>
<td valign="top" align="center">1926.39(1811.22 to 2038.34)</td>
<td valign="top" align="center">6.76(4.18 to 9.76)</td>
<td valign="top" align="center">23038.13(22257.84 to 23881.56)</td>
<td valign="top" align="center">0.84(-1.26 to 3.21)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;High-income Asia Pacific</td>
<td valign="top" align="center">19499.45(18842.85 to 20169.40)</td>
<td valign="top" align="center">4.03(3.05 to 4.99)</td>
<td valign="top" align="center">1132.01(1052.80 to 1211.39)</td>
<td valign="top" align="center">4.00(2.66 to 5.30)</td>
<td valign="top" align="center">18367.44(17740.12 to 19052.07)</td>
<td valign="top" align="center">4.03(3.02 to 5.06)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Western Europe</td>
<td valign="top" align="center">25215.11(24510.93 to 25993.65)</td>
<td valign="top" align="center">2.93(2.23 to 3.63)</td>
<td valign="top" align="center">738.30(694.15 to 783.93)</td>
<td valign="top" align="center">8.42(7.39 to 9.37)</td>
<td valign="top" align="center">24476.82(23767.14 to 25264.24)</td>
<td valign="top" align="center">2.78(2.06 to 3.48)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Southern Latin America</td>
<td valign="top" align="center">10562.41(10229.30 to 10934.31)</td>
<td valign="top" align="center">1.59(0.16 to 3.11)</td>
<td valign="top" align="center">528.55(492.82 to 562.19)</td>
<td valign="top" align="center">7.23(5.02 to 9.40)</td>
<td valign="top" align="center">10033.86(9694.68 to 10408.39)</td>
<td valign="top" align="center">1.31(&#x02212;0.18 to 2.89)</td>
</tr>
<tr>
<td valign="top" align="left">Central Europe, Eastern Europe, and Central Asia</td>
<td valign="top" align="center">11774.14(11480.19 to 12133.24)</td>
<td valign="top" align="center">&#x02212;2.53(&#x02212;2.93 to&#x02212;2.15)</td>
<td valign="top" align="center">751.09(703.88 to 798.13)</td>
<td valign="top" align="center">0.62(-0.04 to 1.36)</td>
<td valign="top" align="center">11023.05(10733.59 to 11388.25)</td>
<td valign="top" align="center">&#x02212;2.73(&#x02212;3.14 to&#x02212;2.35)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Eastern Europe</td>
<td valign="top" align="center">12069.63(11757.23 to 12447.59)</td>
<td valign="top" align="center">1.83(1.34 to 2.32)</td>
<td valign="top" align="center">1076.09(1007.04 to 1142.78)</td>
<td valign="top" align="center">6.57(5.75 to 7.42)</td>
<td valign="top" align="center">10993.54(10686.89 to 11369.00)</td>
<td valign="top" align="center">1.39(0.86 to 1.92)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Central Europe</td>
<td valign="top" align="center">13412.22(13085.29 to 13795.12)</td>
<td valign="top" align="center">&#x02212;5.72(&#x02212;6.45 to&#x02212;5.00)</td>
<td valign="top" align="center">440.54(413.74 to 465.71)</td>
<td valign="top" align="center">&#x02212;2.94(&#x02212;4.24 to &#x02212;1.60)</td>
<td valign="top" align="center">12971.68(12644.57 to 13349.88)</td>
<td valign="top" align="center">&#x02212;5.82(&#x02212;6.57 to &#x02212;5.07)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Central Asia</td>
<td valign="top" align="center">9050.75(8755.44 to 9401.96)</td>
<td valign="top" align="center">1.70(0.71 to 2.76)</td>
<td valign="top" align="center">407.73(379.93 to 435.17)</td>
<td valign="top" align="center">3.66(2.49 to 4.80)</td>
<td valign="top" align="center">8643.02(8345.84 to 9004.76)</td>
<td valign="top" align="center">1.61(0.57 to 2.70)</td>
</tr>
<tr>
<td valign="top" align="left">Latin America and Caribbean</td>
<td valign="top" align="center">20043.98(19498.86 to 20670.31)</td>
<td valign="top" align="center">2.18(1.74 to 2.59)</td>
<td valign="top" align="center">691.79(638.43 to 742.88)</td>
<td valign="top" align="center">2.71(1.95 to 3.51)</td>
<td valign="top" align="center">19352.18(18806.80 to 19964.95)</td>
<td valign="top" align="center">2.16(1.70 to 2.59)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Central Latin America</td>
<td valign="top" align="center">20371.54(19800.48 to 21042.91)</td>
<td valign="top" align="center">2.06(1.44 to 2.65)</td>
<td valign="top" align="center">804.15(742.57 to 865.95)</td>
<td valign="top" align="center">3.96(3.01 to 4.95)</td>
<td valign="top" align="center">19567.39(19003.77 to 20222.79)</td>
<td valign="top" align="center">1.99(1.34 to 2.60)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Andean Latin America</td>
<td valign="top" align="center">19051.68(18524.39 to 19647.38)</td>
<td valign="top" align="center">2.11(0.65 to 3.56)</td>
<td valign="top" align="center">530.75(490.87 to 570.55)</td>
<td valign="top" align="center">6.44(4.39 to 8.61)</td>
<td valign="top" align="center">18520.93(17990.10 to 19113.41)</td>
<td valign="top" align="center">1.99(0.48 to 3.46)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Caribbean</td>
<td valign="top" align="center">18856.09(18201.68 to 19544.92)</td>
<td valign="top" align="center">1.59(0.44 to 2.65)</td>
<td valign="top" align="center">548.04(508.15 to 587.28)</td>
<td valign="top" align="center">4.04(2.34 to 5.73)</td>
<td valign="top" align="center">18308.05(17661.07 to 18991.17)</td>
<td valign="top" align="center">1.52(0.34 to 2.62)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Tropical Latin America</td>
<td valign="top" align="center">19845.47(19312.68 to 20456.08)</td>
<td valign="top" align="center">1.68(1.04 to 2.32)</td>
<td valign="top" align="center">647.42(600.70 to 693.67)</td>
<td valign="top" align="center">0.16(-1.03 to 1.51)</td>
<td valign="top" align="center">19198.05(18672.27 to 19809.57)</td>
<td valign="top" align="center">1.73(1.07 to 2.42)</td>
</tr>
<tr>
<td valign="top" align="left">Southeast Asia, East Asia, and Oceania</td>
<td valign="top" align="center">6067.76(5892.37 to 6262.81)</td>
<td valign="top" align="center">&#x02212;1.57(-2.06 to&#x02212;1.10)</td>
<td valign="top" align="center">167.38(155.25 to 179.50)</td>
<td valign="top" align="center">1.75(0.83 to 2.66)</td>
<td valign="top" align="center">5900.38(5726.45 to 6089.79)</td>
<td valign="top" align="center">&#x02212;1.66(-2.16 to&#x02212;1.18)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;East Asia</td>
<td valign="top" align="center">6308.69(6132.45 to 6518.26)</td>
<td valign="top" align="center">&#x02212;4.05(&#x02212;4.65 to&#x02212;3.43)</td>
<td valign="top" align="center">87.21(80.44 to 93.68)</td>
<td valign="top" align="center">&#x02212;21.07(&#x02212;22.25 to&#x02212;19.95)</td>
<td valign="top" align="center">6221.48(6043.85 to 6425.97)</td>
<td valign="top" align="center">&#x02212;3.75(&#x02212;4.37 to&#x02212;3.13)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Southeast Asia</td>
<td valign="top" align="center">5544.70(5371.71 to 5722.27)</td>
<td valign="top" align="center">9.30(8.41 to 10.14)</td>
<td valign="top" align="center">337.55(314.14 to 360.08)</td>
<td valign="top" align="center">8.08(7.27 to 8.81)</td>
<td valign="top" align="center">5207.15(5039.06 to 5389.12)</td>
<td valign="top" align="center">9.38(8.45 to 10.27)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Oceania</td>
<td valign="top" align="center">6561.95(6328.33 to 6813.54)</td>
<td valign="top" align="center">3.24(1.48 to 4.91)</td>
<td valign="top" align="center">209.56(194.58 to 223.67)</td>
<td valign="top" align="center">3.76(1.84 to 5.90)</td>
<td valign="top" align="center">6352.38(6124.11 to 6604.55)</td>
<td valign="top" align="center">3.22(1.43 to 4.95)</td>
</tr>
<tr>
<td valign="top" align="left">North Africa and Middle East</td>
<td valign="top" align="center">12492.96(12114.34 to 12941.14)</td>
<td valign="top" align="center">1.08(0.39 to 1.70)</td>
<td valign="top" align="center">313.73(292.81 to 335.37)</td>
<td valign="top" align="center">1.93(1.24 to 2.67)</td>
<td valign="top" align="center">12179.23(11791.83 to 12633.34)</td>
<td valign="top" align="center">1.06(0.36 to 1.71)</td>
</tr>
<tr>
<td valign="top" align="left">South Asia</td>
<td valign="top" align="center">22188.31(21634.46 to 22888.99)</td>
<td valign="top" align="center">5.53(4.82 to 6.17)</td>
<td valign="top" align="center">396.59(370.78 to 423.75)</td>
<td valign="top" align="center">7.63(6.91 to 8.32)</td>
<td valign="top" align="center">21791.72(21240.04 to 22499.46)</td>
<td valign="top" align="center">5.49(4.77 to 6.15)</td>
</tr>
<tr>
<td valign="top" align="left">Sub-Saharan Africa</td>
<td valign="top" align="center">17009.82(16532.26 to 17589.09)</td>
<td valign="top" align="center">&#x02212;0.05(&#x02212;0.39 to 0.29)</td>
<td valign="top" align="center">369.94(345.87 to 395.15)</td>
<td valign="top" align="center">&#x02212;0.17(&#x02212;0.61 to 0.28)</td>
<td valign="top" align="center">16639.88(16157.34 to 17214.90)</td>
<td valign="top" align="center">&#x02212;0.05(&#x02212;0.39 to 0.30)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Southern Sub-Saharan Africa</td>
<td valign="top" align="center">29473.69(28595.32 to 30423.06)</td>
<td valign="top" align="center">1.54(0.81 to 2.33)</td>
<td valign="top" align="center">691.61(645.90 to 734.71)</td>
<td valign="top" align="center">2.67(1.75 to 3.64)</td>
<td valign="top" align="center">28782.08(27925.79 to 29739.62)</td>
<td valign="top" align="center">1.51(0.77 to 2.33)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Western Sub-Saharan Africa</td>
<td valign="top" align="center">17604.18(17083.44 to 18242.78)</td>
<td valign="top" align="center">2.00(1.56 to 2.41)</td>
<td valign="top" align="center">393.94(367.42 to 421.43)</td>
<td valign="top" align="center">1.23(0.72 to 1.77)</td>
<td valign="top" align="center">17210.25(16685.92 to 17855.90)</td>
<td valign="top" align="center">2.02(1.57 to 2.44)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Eastern Sub-Saharan Africa</td>
<td valign="top" align="center">13026.00(12640.03 to 13421.44)</td>
<td valign="top" align="center">2.49(1.95 to 3.04)</td>
<td valign="top" align="center">258.59(240.49 to 276.82)</td>
<td valign="top" align="center">1.98(1.26 to 2.72)</td>
<td valign="top" align="center">12767.41(12383.60 to 13168.20)</td>
<td valign="top" align="center">2.50(1.95 to 3.05)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Central Sub-Saharan Africa</td>
<td valign="top" align="center">18944.63(18292.92 to 19701.23)</td>
<td valign="top" align="center">2.51(0.91 to 4.11)</td>
<td valign="top" align="center">391.92(364.94 to 418.69)</td>
<td valign="top" align="center">1.87(&#x02212;0.08 to 3.76)</td>
<td valign="top" align="center">18552.71(17901.08 to 19318.79)</td>
<td valign="top" align="center">2.53(0.88 to 4.16)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Burden of major bacterial skin diseases for 204 countries and territories. Age-standardized incidence and DALYs rates of major bacterial skin diseases <bold>(A,B)</bold> by type; <bold>(C,D)</bold> by sex; <bold>(E,F)</bold> by SDI per 100,000 people globally, 1990&#x02013;2019. The distribution of age-standardized incidence <bold>(G)</bold> and DALYs <bold>(H)</bold> rates of bacterial skin diseases per 100,000 population globally, in 2019.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-861115-g0001.tif"/>
</fig>
<p>The incidence of bacterial skin disease showed an increasing trend (both sex, 1990&#x02013;2019) for, as for DALYs rates showed a dramatically decreasing pattern, especially from 2000 to 2012. Male prevalence over female remained from 1990 to 2019. In 2019, age-standardized incidence rate was 160.48 million [156.44&#x02013;165.45] for males, while it was 133.54 million [130.24&#x02013;137.58] for females. The age-standardized DALYs rate was 0.29 million [0.19&#x02013;0.37] for males, whereas it was slightly lower for females, which was 0.28 million [0.22&#x02013;0.34] (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>; <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 2</xref>). As for the change of age-standardized incidence rate of bacterial skin diseases?the increasing trend was much greater in females 8.76% [8.36&#x02013;9.16] than males 6.34% [5.94&#x02013;6.73]. Interestingly, the change of age-standardized DALYs rate of bacterial skin diseases depicted a contrary trend, which showed that the decrease was more obvious in males (&#x02212;12.70% [&#x02212;31.49 to 6.44]) compared with that in females (&#x02212;8.45% [&#x02212;28.18 to 10.44] (<xref ref-type="supplementary-material" rid="SM3">Supplementary Table 3</xref>).</p>
<p>Further, the relationship between the global burden of bacterial skin diseases and socioeconomic status was explored. In 2019, low-middle SDI demonstrated the highest burden for the age-standardized incidence rate of bacterial skin diseases, followed by low SDI, high SDI, middle SDI, and high-middle SDI (<xref ref-type="fig" rid="F1">Figures 1E,F</xref>, <xref ref-type="supplementary-material" rid="SM4">Supplementary Table 4</xref>). As for age-standardized DALYs, low-middle and high-middle SDI locations recorded the highest and lowest burden, respectively. In low SDI locations, as for incidence rates were 169.72 million [165.28&#x02013;175.44] and as for DALYs rates were 0.41 million [0.33&#x02013;0.48]; in high-middle locations, as for incidence rates were 110.10 million [107.37&#x02013;113.57] and as for DALYs rates 0.18 million [0.13&#x02013;0.24].</p>
<p>We analyzed the incidence (<xref ref-type="table" rid="T1">Table 1</xref>) and DALYs (<xref ref-type="table" rid="T2">Table 2</xref>) rate of bacterial skin diseases in 21 region-specific and country-specific locations. Our findings include the following: Southern Sub-Saharan Africa (294.74 million [285.95&#x02013;304.23]) and high-income North America (46.37 million [44.68&#x02013;47.89]), respectively, had the heaviest and lowest burden of incidence. However, in the value of DALYs rates, Oceania [73.28 [46.61&#x02013;101.48] (per 1,000 person-years)] and East Asia (5.91 [4.67&#x02013;8.14] [per 1000 person-years)] recorded the heaviest and lowest burden.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Age&#x02013;standardized DALYs rate of major bacterial skin diseases in 2019, and change of age&#x02013;standardized DALYs rate for both sexes (1990&#x02013;2010 and 2010&#x02013;2019).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Group</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="2"><bold>Bacterial skin diseases</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="2"><bold>Cellulitis</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="2"><bold>Pyoderma</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Number of DALYs, 2019</bold></th>
<th valign="top" align="center"><bold>Annualised rate of change of age-standardized DALYs(1990&#x02013;2019) (%)</bold></th>
<th valign="top" align="center"><bold>Number of DALYs, 2019</bold></th>
<th valign="top" align="center"><bold>Annualised rate of change of age-standardized DALYs(1990&#x02013;2019) (%)</bold></th>
<th valign="top" align="center"><bold>Number of DALYs, 2019</bold></th>
<th valign="top" align="center"><bold>Annualised rate of change of age-standardized DALYs(1990&#x02013;2019) (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Global</td>
<td valign="top" align="center">28.39(21.35 to 34.10)</td>
<td valign="top" align="center">&#x02212;10.27(&#x02212;25.65 to 2.54)</td>
<td valign="top" align="center">6.96(4.75 to 8.35)</td>
<td valign="top" align="center">&#x02212;10.52(&#x02212;36.46 to 15.42)</td>
<td valign="top" align="center">21.43(16.18 to 26.20)</td>
<td valign="top" align="center">&#x02212;10.18(&#x02212;27.51 to 4.89)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;High SDI</td>
<td valign="top" align="center">20.09(13.22 to 27.02)</td>
<td valign="top" align="center">60.09(10.49 to 92.06)</td>
<td valign="top" align="center">10.55(6.83 to 13.57)</td>
<td valign="top" align="center">53.99(2.47 to 82.34)</td>
<td valign="top" align="center">9.54(6.13 to 14.11)</td>
<td valign="top" align="center">67.42(16.98 to 117.29)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;High&#x02013;middle SDI</td>
<td valign="top" align="center">18.48(12.90 to 23.84)</td>
<td valign="top" align="center">&#x02212;8.59(&#x02212;23.19 to 2.74)</td>
<td valign="top" align="center">6.82(4.43 to 9.33)</td>
<td valign="top" align="center">&#x02212;8.83(&#x02212;32.55 to 8.08)</td>
<td valign="top" align="center">11.66(8.30 to 15.55)</td>
<td valign="top" align="center">&#x02212;8.44(&#x02212;24.42 to 4.79)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Middle SDI</td>
<td valign="top" align="center">23.06(17.93 to 27.64)</td>
<td valign="top" align="center">&#x02212;23.07(&#x02212;32.19 to &#x02212;9.18)</td>
<td valign="top" align="center">4.90(3.47 to 5.81)</td>
<td valign="top" align="center">&#x02212;26.56(&#x02212;42.04 to &#x02212;0.92)</td>
<td valign="top" align="center">18.17(13.99 to 22.37)</td>
<td valign="top" align="center">&#x02212;22.07(&#x02212;33.42 to &#x02212;5.00)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Low-middle SDI</td>
<td valign="top" align="center">42.16(28.74 to 50.30)</td>
<td valign="top" align="center">&#x02212;27.38(&#x02212;41.70 to &#x02212;9.14)</td>
<td valign="top" align="center">5.82(3.71 to 7.42)</td>
<td valign="top" align="center">&#x02212;35.18(&#x02212;53.06 to &#x02212;6.26)</td>
<td valign="top" align="center">36.34(24.88 to 43.95)</td>
<td valign="top" align="center">&#x02212;25.96(&#x02212;42.38 to &#x02212;6.68)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Low SDI</td>
<td valign="top" align="center">40.95(32.97 to 47.96)</td>
<td valign="top" align="center">&#x02212;17.07(&#x02212;33.37 to &#x02212;3.08)</td>
<td valign="top" align="center">6.60(3.19 to 9.44)</td>
<td valign="top" align="center">&#x02212;27.46(&#x02212;52.26 to 9.00)</td>
<td valign="top" align="center">34.36(28.47 to 41.47)</td>
<td valign="top" align="center">&#x02212;14.72(&#x02212;33.69 to 1.45)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;High-income</td>
<td valign="top" align="center">20.34(13.26 to 27.56)</td>
<td valign="top" align="center">69.57(14.93 to 107.13)</td>
<td valign="top" align="center">10.12(6.66 to 12.97)</td>
<td valign="top" align="center">57.53(4.49 to 87.64)</td>
<td valign="top" align="center">10.22(6.28 to 15.09)</td>
<td valign="top" align="center">83.45(22.56 to 147.97)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;High-income North America</td>
<td valign="top" align="center">25.30(16.87 to 34.92)</td>
<td valign="top" align="center">80.34(23.22 to 112.72)</td>
<td valign="top" align="center">17.40(11.42 to 22.26)</td>
<td valign="top" align="center">53.98(6.32 to 82.54)</td>
<td valign="top" align="center">7.90(4.28 to 12.35)</td>
<td valign="top" align="center">189.64(73.58 to 248.27)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Australia</td>
<td valign="top" align="center">26.18(15.81 to 34.83)</td>
<td valign="top" align="center">67.19(3.33 to 112.70)</td>
<td valign="top" align="center">14.33(7.73 to 18.08)</td>
<td valign="top" align="center">87.83(&#x02212;7.64 to 150.84)</td>
<td valign="top" align="center">11.85(7.34 to 18.38)</td>
<td valign="top" align="center">47.59(11.93 to 88.78)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;High-income Asia Pacific</td>
<td valign="top" align="center">11.98(8.33 to 17.64)</td>
<td valign="top" align="center">25.42(&#x02212;0.82 to 43.22)</td>
<td valign="top" align="center">5.98(4.36 to 8.16)</td>
<td valign="top" align="center">31.20(&#x02212;8.42 to 53.38)</td>
<td valign="top" align="center">6.00(3.47 to 10.47)</td>
<td valign="top" align="center">20.14(6.09 to 42.16)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Western Europe</td>
<td valign="top" align="center">18.65(11.77 to 26.33)</td>
<td valign="top" align="center">66.29(10.08 to 110.20)</td>
<td valign="top" align="center">6.03(3.60 to 7.65)</td>
<td valign="top" align="center">62.60(&#x02212;7.05 to 100.38)</td>
<td valign="top" align="center">12.62(7.73 to 19.49)</td>
<td valign="top" align="center">68.12(17.47 to 125.37)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Southern Latin America</td>
<td valign="top" align="center">36.74(20.58 to 51.05)</td>
<td valign="top" align="center">155.78(65.62 to 234.98)</td>
<td valign="top" align="center">10.51(6.48 to 15.41)</td>
<td valign="top" align="center">55.66(17.00 to 89.96)</td>
<td valign="top" align="center">26.23(13.62 to 36.20)</td>
<td valign="top" align="center">244.65(88.76 to 398.00)</td>
</tr>
<tr>
<td valign="top" align="left">Central Europe, Eastern Europe, and Central Asia</td>
<td valign="top" align="center">23.90(14.91 to 33.28)</td>
<td valign="top" align="center">32.95(&#x02212;2.55 to 58.30)</td>
<td valign="top" align="center">14.48(8.58 to 20.66)</td>
<td valign="top" align="center">40.69(&#x02212;5.64 to 72.90)</td>
<td valign="top" align="center">9.42(5.86 to 13.71)</td>
<td valign="top" align="center">22.59(&#x02212;0.92 to 43.55)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Eastern Europe</td>
<td valign="top" align="center">36.45(21.98 to 51.89)</td>
<td valign="top" align="center">50.21(5.70 to 84.13)</td>
<td valign="top" align="center">24.96(14.31 to 36.42)</td>
<td valign="top" align="center">63.66(3.19 to 107.72)</td>
<td valign="top" align="center">11.50(6.68 to 16.93)</td>
<td valign="top" align="center">27.49(3.90 to 50.72)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Central Europe</td>
<td valign="top" align="center">10.26(6.92 to 14.19)</td>
<td valign="top" align="center">0.80(&#x02212;19.91 to 17.63)</td>
<td valign="top" align="center">2.64(1.96 to 3.38)</td>
<td valign="top" align="center">&#x02212;34.41(&#x02212;44.85 to &#x02212;17.06)</td>
<td valign="top" align="center">7.62(4.66 to 11.30)</td>
<td valign="top" align="center">23.80(&#x02212;15.21 to 58.80)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Central Asia</td>
<td valign="top" align="center">9.45(7.02 to 13.13)</td>
<td valign="top" align="center">9.12(&#x02212;1.95 to 24.23)</td>
<td valign="top" align="center">3.35(2.40 to 4.78)</td>
<td valign="top" align="center">3.69(&#x02212;9.73 to 21.67)</td>
<td valign="top" align="center">6.10(4.40 to 9.08)</td>
<td valign="top" align="center">12.35(&#x02212;0.06 to 29.52)</td>
</tr>
<tr>
<td valign="top" align="left">Latin America and Caribbean</td>
<td valign="top" align="center">46.06(27.91 to 61.52)</td>
<td valign="top" align="center">61.24(&#x02212;0.40 to 97.32)</td>
<td valign="top" align="center">10.84(6.30 to 14.83)</td>
<td valign="top" align="center">13.91(&#x02212;26.91 to 40.65)</td>
<td valign="top" align="center">35.22(20.06 to 48.11)</td>
<td valign="top" align="center">84.89(13.56 to 131.21)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Central Latin America</td>
<td valign="top" align="center">38.33(23.45 to 55.68)</td>
<td valign="top" align="center">66.87(10.42 to 106.17)</td>
<td valign="top" align="center">11.85(6.74 to 17.05)</td>
<td valign="top" align="center">30.20(&#x02212;13.29 to 57.88)</td>
<td valign="top" align="center">26.48(15.62 to 39.13)</td>
<td valign="top" align="center">90.94(25.47 to 155.03)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Andean Latin America</td>
<td valign="top" align="center">15.62(11.90 to 20.58)</td>
<td valign="top" align="center">&#x02212;27.36(&#x02212;48.16 to &#x02212;3.93)</td>
<td valign="top" align="center">3.26(2.46 to 4.24)</td>
<td valign="top" align="center">&#x02212;56.32(&#x02212;71.90 to 1.76)</td>
<td valign="top" align="center">12.36(9.04 to 16.77)</td>
<td valign="top" align="center">&#x02212;12.00(&#x02212;47.97 to 33.43)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Caribbean</td>
<td valign="top" align="center">47.98(36.71 to 71.95)</td>
<td valign="top" align="center">30.60(&#x02212;1.63 to 69.71)</td>
<td valign="top" align="center">12.58(8.11 to 21.42)</td>
<td valign="top" align="center">0.38(&#x02212;23.42 to 35.45)</td>
<td valign="top" align="center">35.39(26.43 to 54.68)</td>
<td valign="top" align="center">46.25(3.72 to 92.58)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Tropical Latin America</td>
<td valign="top" align="center">61.55(31.92 to 78.92)</td>
<td valign="top" align="center">80.27(&#x02212;4.57 to 130.35)</td>
<td valign="top" align="center">11.56(5.65 to 15.44)</td>
<td valign="top" align="center">16.21(&#x02212;39.77 to 54.48)</td>
<td valign="top" align="center">49.99(24.78 to 65.46)</td>
<td valign="top" align="center">106.61(14.09 to 162.55)</td>
</tr>
<tr>
<td valign="top" align="left">Southeast Asia, East Asia, and Oceania</td>
<td valign="top" align="center">14.70(11.70 to 17.44)</td>
<td valign="top" align="center">&#x02212;48.21(&#x02212;55.39 to &#x02212;29.59)</td>
<td valign="top" align="center">3.52(2.27 to 4.17)</td>
<td valign="top" align="center">&#x02212;46.53(&#x02212;59.12 to &#x02212;22.78)</td>
<td valign="top" align="center">11.18(8.94 to 13.88)</td>
<td valign="top" align="center">&#x02212;48.71(&#x02212;56.99 to &#x02212;26.39)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;East Asia</td>
<td valign="top" align="center">5.91(4.67 to 8.14)</td>
<td valign="top" align="center">&#x02212;75.82(&#x02212;81.43 to &#x02212;53.33)</td>
<td valign="top" align="center">1.38(1.07 to 1.91)</td>
<td valign="top" align="center">&#x02212;75.21(&#x02212;83.85 to &#x02212;45.55)</td>
<td valign="top" align="center">4.53(3.39 to 6.73)</td>
<td valign="top" align="center">&#x02212;76.00(&#x02212;83.62 to &#x02212;50.43)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Southeast Asia</td>
<td valign="top" align="center">38.32(27.42 to 45.40)</td>
<td valign="top" align="center">&#x02212;8.21(&#x02212;24.06 to 10.32)</td>
<td valign="top" align="center">9.47(5.41 to 11.39)</td>
<td valign="top" align="center">&#x02212;8.64(&#x02212;25.21 to 19.81)</td>
<td valign="top" align="center">28.85(21.70 to 36.05)</td>
<td valign="top" align="center">&#x02212;8.06(&#x02212;24.99 to 14.09)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Oceania</td>
<td valign="top" align="center">73.28(46.61 to 101.48)</td>
<td valign="top" align="center">9.23(&#x02212;15.08 to 42.62)</td>
<td valign="top" align="center">11.43(4.66 to 19.90)</td>
<td valign="top" align="center">&#x02212;25.86(&#x02212;45.48 to 8.48)</td>
<td valign="top" align="center">61.85(39.91 to 87.24)</td>
<td valign="top" align="center">19.71(&#x02212;10.14 to 58.93)</td>
</tr>
<tr>
<td valign="top" align="left">North Africa and Middle East</td>
<td valign="top" align="center">10.26(7.70 to 14.76)</td>
<td valign="top" align="center">&#x02212;6.06(&#x02212;17.83 to 9.09)</td>
<td valign="top" align="center">1.94(1.46 to 2.74)</td>
<td valign="top" align="center">&#x02212;25.54(&#x02212;40.77 to 12.10)</td>
<td valign="top" align="center">8.32(5.88 to 12.42)</td>
<td valign="top" align="center">0.03(&#x02212;14.04 to 19.14)</td>
</tr>
<tr>
<td valign="top" align="left">South Asia</td>
<td valign="top" align="center">43.93(28.43 to 53.57)</td>
<td valign="top" align="center">&#x02212;36.11(&#x02212;49.87 to &#x02212;15.86)</td>
<td valign="top" align="center">5.42(3.44 to 7.25)</td>
<td valign="top" align="center">&#x02212;40.55(&#x02212;57.44 to &#x02212;12.47)</td>
<td valign="top" align="center">38.51(24.54 to 47.91)</td>
<td valign="top" align="center">&#x02212;35.43(&#x02212;50.68 to &#x02212;14.56)</td>
</tr>
<tr>
<td valign="top" align="left">Sub-Saharan Africa</td>
<td valign="top" align="center">46.83(38.66 to 55.68)</td>
<td valign="top" align="center">&#x02212;5.34(&#x02212;20.55 to 10.59)</td>
<td valign="top" align="center">8.35(3.92 to 11.70)</td>
<td valign="top" align="center">&#x02212;19.62(&#x02212;44.77 to 15.26)</td>
<td valign="top" align="center">38.48(31.68 to 47.50)</td>
<td valign="top" align="center">&#x02212;1.55(&#x02212;19.69 to 20.22)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Southern Sub-Saharan Africa</td>
<td valign="top" align="center">40.77(32.92 to 50.43)</td>
<td valign="top" align="center">&#x02212;5.76(&#x02212;16.70 to 6.81)</td>
<td valign="top" align="center">13.17(8.49 to 16.28)</td>
<td valign="top" align="center">&#x02212;8.54(&#x02212;22.10 to 11.65)</td>
<td valign="top" align="center">27.60(21.28 to 36.33)</td>
<td valign="top" align="center">&#x02212;4.37(&#x02212;17.18 to 12.53)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Western Sub-Saharan Africa</td>
<td valign="top" align="center">49.32(39.57 to 60.39)</td>
<td valign="top" align="center">&#x02212;0.06(&#x02212;16.20 to 18.47)</td>
<td valign="top" align="center">3.81(1.93 to 5.34)</td>
<td valign="top" align="center">&#x02212;22.80(&#x02212;41.01 to 16.79)</td>
<td valign="top" align="center">45.50(36.33 to 56.15)</td>
<td valign="top" align="center">2.47(&#x02212;15.14 to 24.09)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Eastern Sub-Saharan Africa</td>
<td valign="top" align="center">46.33(37.59 to 56.17)</td>
<td valign="top" align="center">&#x02212;8.78(&#x02212;32.29 to 13.87)</td>
<td valign="top" align="center">10.96(3.93 to 17.60)</td>
<td valign="top" align="center">&#x02212;20.23(&#x02212;55.08 to 34.45)</td>
<td valign="top" align="center">35.37(27.90 to 45.32)</td>
<td valign="top" align="center">&#x02212;4.54(&#x02212;33.63 to 27.71)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Central Sub-Saharan Africa</td>
<td valign="top" align="center">41.69(31.83 to 54.71)</td>
<td valign="top" align="center">&#x02212;10.99(&#x02212;32.14 to 17.51)</td>
<td valign="top" align="center">10.68(3.27 to 17.57)</td>
<td valign="top" align="center">&#x02212;19.32(&#x02212;47.89 to 43.53)</td>
<td valign="top" align="center">31.00(21.77 to 46.31)</td>
<td valign="top" align="center">&#x02212;7.70(&#x02212;33.42 to 27.36)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Change of age-standardized incidence (<xref ref-type="supplementary-material" rid="SM5">Supplementary Table 5</xref>) and DALYs (<xref ref-type="supplementary-material" rid="SM6">Supplementary Table 6</xref>) rate of bacterial skin diseases in 204 countries from 1990 to 2019 were explored. Regions with the most significant change in age-standardized incidence were Taiwan (Province of China) (9.53% [7.12&#x02013;12.19]) and Poland (&#x02212;35.94% [&#x02212;35.65 to &#x02212;32.29]); as for DALYs, Saint Vincent and the Grenadines (3.96 times [0.68 to 8.99]) and China mainland (&#x02212;79.06% [&#x02212;84.43 to &#x02212;55.85%]). However, the regions with the greatest changes differed by approximately 15-fold in the age-standardized incidence of bacterial skin disease (United Kingdom, 330.18 million [321.50&#x02013;339.55]) and least change in 2019 (China, 21.21 million [20.58&#x02013;21.94]) (<xref ref-type="fig" rid="F1">Figure 1G</xref>). Also, there was 34 times difference between regions with the biggest change of age-standardized DALYs rate of bacterial skin diseases (American Samoa, 1.76 million [1.25&#x02013;2.29]) and the least (China, 5.16 [3.97&#x02013;7.45]) [per 1,000 person-years)] (<xref ref-type="fig" rid="F1">Figure 1H</xref>).</p>
</sec>
<sec>
<title>Burden of Cellulitis</title>
<p>Cellulitis is a bacterial infection of the skin, and the main clinical features include poorly demarcated erythema, edema, warmth, and tenderness (<xref ref-type="bibr" rid="B12">12</xref>). Skin diseases accounted for 1.79% of the global disease burden in 2013. In the same period, cellulitis contributed 0.04% of total burden (<xref ref-type="bibr" rid="B13">13</xref>). In the United States, an estimated 14.5 million cases annually of cellulitis account for &#x00024;3.7 billion in ambulatory care cost alone (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>In 2019, the incidence and DALYs rate of Cellulitis were 54.84 million [51.58&#x02013;58.02] and 6.96 [4.75&#x02013;8.35] (per 1,000 person-years) (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). Interestingly, cellulitis depicted a sex gap the incidence and DALYs rates, which tended to have a male predominance over females. Age-standardized incidence was 5.89 million [5.54&#x02013;6.23] for males, while it was 5.08 million [4.78&#x02013;5.37]. As for DALYs rate, it was 7.22 [4.03&#x02013;9.79] for males and 6.70 [4.18&#x02013;8.12] (per 1,000 person-years) for females (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>; <xref ref-type="supplementary-material" rid="SM7">Supplementary Table 7</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Burden of cellulitis for 204 countries and territories. Age-standardized incidence and DALYs rates of cellulitis <bold>(A,B)</bold> by sex; <bold>(C,D)</bold> by SDI per 100,000 population globally,1990&#x02013;2019. The distribution of age-standardized incidence <bold>(E)</bold> and DALYs <bold>(F)</bold> rates of cellulitis per 100,000 population globally, in 2019.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-861115-g0002.tif"/>
</fig>
<p>According to the change of age-standardized incidence and DALYs rate of cellulitis from 1990 to 2019, analysis showed a decreasing trend (&#x02212;6.15% [&#x02212;6.76 to &#x02212;5.55] (<xref ref-type="table" rid="T1">Table 1</xref>) and &#x02212;10.52% [&#x02212;36.46 to 15.42] (<xref ref-type="table" rid="T2">Table 2</xref>), respectively). At the same time change of age-standardized incidence rate of cellulitis was slighter for males (&#x02212;5.70% [&#x02212;6.32 to &#x02212;5.10] than females (&#x02212;6.06% [&#x02212;6.75 to &#x02212;5.32]), while contrarily the change of age-standardized DALYs rate of cellulitis was greater for male (&#x02212;10.83% [&#x02212;40.95 to 14.50]) than female (&#x02212;10.42% [&#x02212;40.40 to 20.21]) (<xref ref-type="supplementary-material" rid="SM3">Supplementary Table 3</xref>).</p>
<p>In 2019, as for incidence (or DALYs) rate of Cellulitis both indicated that the heaviest burden was high-SDI regions, with incidence of 16.12 million [15.24&#x02013;16.96] and DALYs of 10.55 [6.83&#x02013;13.57] (per 1,000 person-years). In contrast, high-middle SDI regions demonstrated the lowest burden with age-standardized incidence of 3.27million [3.05&#x02013;3.50] and DALYs of 4.90 [3.47&#x02013;5.81] (per 1,000 person-years) (<xref ref-type="fig" rid="F2">Figures 2C,D</xref>; <xref ref-type="supplementary-material" rid="SM8">Supplementary Table 8</xref>). The lowest incidence of cellulitis incidence rates countries, such as East Asia (0.87million [0.80&#x02013;0.94]), also had the lowest cellulitis DALY rates [1.38 [1.07&#x02013;1.91] (per 1,000 person-years)]. The highest burden of age-standardized incidence was high-income North America (29.53 million [27.97&#x02013;31.02]) while the highest burden of age-standardized DALYs was recorded in Eastern Europe [24.96 [14.31&#x02013;36.42] (per 1,000 person-years)].</p>
<p>The change of age-standardized incidence and DALYs rates were further analyzed. The biggest change of age-standardized incidence (<xref ref-type="supplementary-material" rid="SM5">Supplementary Table 5</xref>) and DALYs (<xref ref-type="supplementary-material" rid="SM6">Supplementary Table 6</xref>) rate of cellulitis were recorded both in China with incidence of 26.27% [22.27&#x02013;30.13] in Taiwan (Province of China) and &#x02212;22.97% [&#x02212;24.18 to &#x02212;21.84] in Chinese mainland, and DALYs, Mauritius (2.26 times [0.06 to 4.77]) and China (&#x02212;84.17% [&#x02212;90.14 to &#x02212;63.52%]). The highest age-standardized incidence (<xref ref-type="fig" rid="F2">Figure 2E</xref>) rate of Cellulitis was United States of America 29.85 million [28.28&#x02013;31.36] while the lowest was China 0.84 million [0.77&#x02013;0.90] in 2019. As for the incidence, it displayed a huge gap (34 times) between these two regions, so was the gap in terms of age-standardized DALYs (<xref ref-type="fig" rid="F2">Figure 2F</xref>) rate of Cellulitis. Bahrain recorded the highest DALYs [(45.38 [23.27&#x02013;66.46]) (per 1,000 person-years)], 53 times of that of China, which recorded the lowest [(0.85 [0.65&#x02013;1.23]) (per 1,000 person-years)] DALYs.</p>
</sec>
<sec>
<title>Burden of Pyoderma</title>
<p>Pyoderma gangrenosumis a rare neutrophilic, autoinflammatory disorder, manifesting as a rapidly extending deep ulcer, and is often associated with a several immune-mediated diseases (<xref ref-type="bibr" rid="B14">14</xref>). Pyoderma gangrenosum, characterized by compromised borders and peripheral erythema, and rapidly developing painful skin ulcers, affects millions of people annually and has an average age of onset around 40 years of age (<xref ref-type="bibr" rid="B14">14</xref>). It results from impaired local defense mechanisms, which permits secondary bacterial invasion of the skin. According to a study from the GBD 2013, skin diseases contributed 1.79% to the global burden of diseases. Meanwhile pyoderma accounted for 0.05, which was 0.01% higher than cellulitis (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>The age-standardized incidence and DALYs rate of Pyoderma was 141.36 million [137.66&#x02013;145.85] and 21.43 [16.18&#x02013;26.20] (per 1,000 person-years) (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>) in 2019. Like cellulitis, pyodermas also showed more males than females. Specifically, age-standardized incidence rate of pyodermas for males was 154.59 million [150.52&#x02013;159.51] and 128.46 million [125.13&#x02013;132.56] for females. Age-standardized DALYs rate was 21.60 [13.49&#x02013;27.92] for males and 21.41 [16.94&#x02013;26.36] (per 1,000 person-years) for females (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>; <xref ref-type="supplementary-material" rid="SM9">Supplementary Table 9</xref>). Significantly, the age-standardized incidence of of pyodermas from 1990 to 2019 increased (7.98% [7.64&#x02013;8.30]) (<xref ref-type="table" rid="T1">Table 1</xref>) whereas the age-standardized DALYs showed a declining trend (&#x02212;10.18% [&#x02212;27.61 to 4.89]) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Burden of pyoderma for 204 countries and territories. Age-standardized incidence and DALYs rates of pyoderma <bold>(A,B)</bold> by sex; <bold>(C,D)</bold>, by SDI per 100,000 population globally,1990&#x02013;2019. The distribution of age-standardized incidence <bold>(E)</bold> and DALYs <bold>(F)</bold> rates of pyoderma per 100,000 population globally, in 2019.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-861115-g0003.tif"/>
</fig>
<p>From 1990 to 2019, change of age-standardized incidence rate of pyodermas was much more obvious in females (9.44% [9.03 to 9.85]) than males (6.86% [6.43 to 7.26]). In addition, the change of DALYs rate of Pyodermas was greater in males (&#x02212;13.31% [&#x02212;35.05 to 12.00]) than females (&#x02212;7.81% [&#x02212;30.90 to 16.20]) (<xref ref-type="supplementary-material" rid="SM3">Supplementary Table 3</xref>).</p>
<p>In 2019, the incidence and DALYs rate of pyodermas both indicated that regions with the heaviest burn was low-middle SDI with incidence of 181.08 million [176.36&#x02013;186.82] and DALYs of 36.34 [24.88&#x02013;43.95] (per 1,000 person-years) (<xref ref-type="fig" rid="F3">Figures 3C,D</xref>). Low SDI regions ranked the next. However, the High-middle SDI (106.17 million [103.43&#x02013;109.67]) regions recorded the lowest age-standardized incidence rate of pyodermas while high SDI regions (9.54 [6.13&#x02013;14.11]) (per 1,000 person-years) recorded the lowest age-standardized DALYs rate.</p>
<p>Through analyzation of the age-standardized incidence (<xref ref-type="table" rid="T1">Table 1</xref>) and DALYs (<xref ref-type="table" rid="T2">Table 2</xref>) rate of pyoderma, Southern Sub-Saharan Africa was found to be the heaviest burden areas (287.72 million [279.26&#x02013;297.40]) while high-income North America (16.85 million [16.40&#x02013;17.36]) had the least burden. Comparing these two regions, 17-fold gap could be identified. As for age-standardized DALY rates, the heaviest regions were Oceania [61.85 [39.91&#x02013;87.24] (per 1,000 person-years)], 13-fold higher than East Asia [4.53 [3.39&#x02013;6.73] (per 1,000 person-years)], which was the lowest DLAYs regions.</p>
<p>Further, we analyzed the change in 204 countries from 1990 to 2019. The change of age-standardized incidence (<xref ref-type="supplementary-material" rid="SM5">Supplementary Table 5</xref>) and DALYs (<xref ref-type="supplementary-material" rid="SM6">Supplementary Table 6</xref>) rate of pyoderma showed that Taiwan (Province of China) (9.15% [6.69&#x02013;11.83]) was the region with the greatest deduction of burden while Poland (&#x02212;35.10% [&#x02212;36.92 to &#x02212;33.39]) the biggest increase of burden, which was consistent with the change of age-standardized incidence of bacterial skin diseases. According to the change of DALYs rates, China (&#x02212;77.63% [&#x02212;84.92 to &#x02212;52.71%]) declined the most while Saint Vincent and the Grenadines (5.43 times [0.77 to 17.11]) increased the most. In 2019, Austria (312.87 million [302.41&#x02013;323.46]) showed the highest incidence (<xref ref-type="fig" rid="F3">Figure 3E</xref>) rate of pyoderma, 20-fold higher than the region with the lowest incidence rate, which was Canada (15.25 million [14.79&#x02013;15.77]) the lowest. The highest DALYs (<xref ref-type="fig" rid="F3">Figure 3F</xref>) rate of pyoderma was American Samoa (1.65 million [1.09&#x02013;2.21]) while China had the lowest (4.04 [2.47&#x02013;6.76]) (per 1,000 person-years), 40-fold lower than the former one.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Bacterial skin diseases have detrimental effects on humans, ranging from physical incapacity to even death (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). According to an analysis for the GBD 2017, bacterial skin diseases resulted in 76,000 deaths (48,700&#x02013;95,600) in 2017 in total (<xref ref-type="bibr" rid="B10">10</xref>). However, the main findings of this study are as follows: (1) Age-standardized incidence of bacterial skin disease showed a marginal increase from 1990 to 2019 whereas the DALYs showed a slight decreasing trend. (2) Both age-standardized incidence and DALYs of pyoderma remained consistently higher than cellulitis. (3) In 2019, the top ranking of the age-standardized incidence and DALYs rates of bacterial skin disease were in the low-middle SDI area.</p>
<p>One major common bacterial skin disease is cellulitis. It is estimated that cellulitis contributed to 18,900 deaths (10,300&#x02013;26,000) and age-standardized death rate of cellulitis was 0.2 (0.1 to 0.3) (per 100,000) from 2007&#x02013;2017. Additionally, an upward trend could be identified in the percentage change of deaths of cellulitis (19.6% [9.8&#x02013;28.2]) (<xref ref-type="bibr" rid="B10">10</xref>). Cellulitis often requires hospitalization for intravenous antibiotics, especially for patient who frequently have comorbid conditions or patients with severe manifestations, which therefore lead to considerable health care spending (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). The cost of doctor visits for cellulitis (or erysipelas) continues to increase in the United States. And, from 2006 to 2015, the number of adults (&#x00024;720&#x02013;&#x00024;1,680) and children (&#x00024;939&#x02013;&#x00024;2,823) who visited the emergency department more than doubled and tripled, respectively (<xref ref-type="bibr" rid="B19">19</xref>). Additionally, misdiagnosis of lower extremity cellulitis also contribute to unnecessary patient morbidity (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Pyoderma is a major skin disease in this study, which contributed to even 3-fold more death than cellulitis, with 57,100 deaths (35,800&#x02013;70,800). Age-standardized death rates of pyoderma were 0.8 (0.5 to 0.9) (per 100,000), much higher than that of cellulitis from 2007&#x02013;2017. Additionally, an upward trend could be identified in the percentage change of deaths of cellulitis (19.6% [9.8&#x02013;28.2]) and pyoderma (10.5% [3.2&#x02013;19.0]) (<xref ref-type="bibr" rid="B10">10</xref>). The DALYs showed a surprisingly upward trend from 2012 to 2019 in this study. The incidence and DALYs rate of pyoderma was 141.36 million [137.66&#x02013;145.85] and 21.43 [16.18&#x02013;26.20] (per 1,000 person-years) in 2019. These findings indicated that prevention of pyoderma received little effects and pyoderma could contribute to the worsening of the global burden of bacterial skin disease.</p>
<p>As has been reported, potential reasons for the increased age-standardized incidence of bacterial skin disease are the lack of reliable microbiologic and laboratory diagnostics, which makes it difficult to differentiate from non-infectious mimics (<xref ref-type="bibr" rid="B20">20</xref>&#x02013;<xref ref-type="bibr" rid="B23">23</xref>). The high prevalence of drug-resistant organisms and the increasing number of immunocompromised patients who are in transplantation and receive biologic immunosuppressives therapy are critical reasons for the complexity of treating these infections (<xref ref-type="bibr" rid="B24">24</xref>). A history of bacterial skin disease greatly increases the risk for subsequent episodes as well. Patients with comorbid conditions that predispose them to infection, particularly diabetes, are also at an upward trend of risk (<xref ref-type="bibr" rid="B25">25</xref>&#x02013;<xref ref-type="bibr" rid="B28">28</xref>). Thus, prevention of bacterial skin diseases should focus on management of predisposing conditions.</p>
<p>This study still has some limitations. The GBD data are derived from estimation and mathematical modeling. The universality and accuracy of the research results could be influenced by inability to adjust confounding factors, such as patients, providers, and geographic levels. Although our research has some limitations, it can still provide a reference for studying the relationship between bacterial skin diseases and SDI to a certain extent.</p>
<p>To conclude, the findings in this report provide a systematic understanding of the burden of bacterial skin diseases from 1990 to 2019, which are valuable for the formulation of global bacterial skin disease prevention and control policies and the implementation of effective intervention measures to improve or reduce the burden of global bacterial skin disease.</p>
</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="s9">Supplementary Material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>CYJ, YrZ, JR, and YX: designed and conceived the study and critical revision of the manuscript for important intellectual content. YX, YL, and WB: data acquisition. JZ, XLC, and YH: analyzed the data. B-NX, CPX, and JR: drawn the picture. CYJ: study supervision. YrZ: administrative support. YX: finished the manuscript. All authors reviewed and validated the manuscript.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>This study was supported by the Starting Package of Xiang&#x00027;an Hospital of Xiamen University (PM201809170010), Open project of Provincial Key Laboratory of Union Hospital Affiliated to Fujian Medical University in 2020 (Nos. XHZDSYS202004 and XHZDSYS202005).</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>
<ack><p>We thank the staff who participated in the GBD database for their important contributions to global disease research.</p>
</ack>
<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.2022.861115/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmed.2022.861115/full#supplementary-material</ext-link></p>
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</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Balkrishnan</surname> <given-names>R</given-names></name> <name><surname>Manuel</surname> <given-names>J</given-names></name> <name><surname>Feldman</surname> <given-names>SR</given-names></name> <name><surname>Rapp</surname> <given-names>SR</given-names></name></person-group>. <article-title>Measurement of health-related quality of life (HRQOL) associated with skin disease</article-title>. <source>J Am Acad Dermatol</source>. (<year>2004</year>) <volume>51</volume>(1 Suppl):<fpage>S3</fpage>&#x02013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1016/j.jaad.2004.01.006</pub-id><pub-id pub-id-type="pmid">15243486</pub-id></citation></ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><collab>Global regional and national incidence prevalence and years lived with disability for 310 diseases and injuries 1990&#x02013;2015: 1990&#x02013;2015: a systematic analysis for the global burden of disease study 2015</collab></person-group>. <source>Lancet</source>. (<year>2016</year>) <volume>388</volume>:<fpage>1545</fpage>&#x02013;<lpage>602</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(16)31678-6</pub-id><pub-id pub-id-type="pmid">27733282</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><collab>Global regional and national incidence prevalence and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries 1990&#x02013;2013: 1990&#x02013;2013: a systematic analysis for the global burden of disease study 2013</collab></person-group>. <source>Lancet</source>. (<year>2015</year>) <volume>386</volume>:<fpage>743</fpage>&#x02013;<lpage>800</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(15)60692-4</pub-id><pub-id pub-id-type="pmid">26063472</pub-id></citation></ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nawas</surname> <given-names>ZY</given-names></name> <name><surname>Tong</surname> <given-names>Y</given-names></name> <name><surname>Kollipara</surname> <given-names>R</given-names></name> <name><surname>Peranteau</surname> <given-names>AJ</given-names></name> <name><surname>Woc-Colburn</surname> <given-names>L</given-names></name> <name><surname>Yan</surname> <given-names>AC</given-names></name> <etal/></person-group>. <article-title>Emerging infectious diseases with cutaneous manifestations: viral and bacterial infections</article-title>. <source>J Am Acad Dermatol.</source> (<year>2016</year>) <volume>75</volume>:<fpage>1</fpage>&#x02013;<lpage>16</lpage>. <pub-id pub-id-type="doi">10.1016/j.jaad.2016.04.033</pub-id><pub-id pub-id-type="pmid">27317512</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Steiner</surname> <given-names>TJ</given-names></name> <name><surname>Stovner</surname> <given-names>LJ</given-names></name> <name><surname>Jensen</surname> <given-names>R</given-names></name> <name><surname>Uluduz</surname> <given-names>D</given-names></name> <name><surname>Katsarava</surname> <given-names>Z</given-names></name></person-group>. <article-title>Migraine remains second among the world&#x00027;s causes of disability, and first among young women: findings from GBD2019</article-title>. <source>J Headache Pain</source>. (<year>2020</year>) <volume>21</volume>. <pub-id pub-id-type="doi">10.1186/s10194-020-01208-0</pub-id><pub-id pub-id-type="pmid">33267788</pub-id></citation></ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vos</surname> <given-names>T</given-names></name> <name><surname>Lim</surname> <given-names>SS</given-names></name> <name><surname>Abbafati</surname> <given-names>C</given-names></name> <name><surname>Abbas</surname> <given-names>KM</given-names></name> <name><surname>Abbasi</surname> <given-names>M</given-names></name> <name><surname>Abbasifard</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Global burden of 369 diseases and injuries in 204 countries and territories, 1990&#x02013;2019: a systematic analysis for the global burden of disease study 2019</article-title>. <source>Lancet.</source> (<year>2020</year>) <volume>396</volume>:<fpage>1204</fpage>&#x02013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(20)30925-9</pub-id><pub-id pub-id-type="pmid">33069326</pub-id></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Murray</surname> <given-names>CJL</given-names></name> <name><surname>Lopez</surname> <given-names>AD</given-names></name></person-group>. <article-title>Global mortality, disability, and the contribution of risk factors: global burden of disease study</article-title>. <source>Lancet.</source> (<year>1997</year>) <volume>349</volume>:<fpage>1436</fpage>&#x02013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(96)07495-8</pub-id><pub-id pub-id-type="pmid">9164317</pub-id></citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mangen</surname> <given-names>MJ</given-names></name> <name><surname>Plass</surname> <given-names>D</given-names></name> <name><surname>Havelaar</surname> <given-names>AH</given-names></name> <name><surname>Gibbons</surname> <given-names>CL</given-names></name> <name><surname>Cassini</surname> <given-names>A</given-names></name> <name><surname>Muhlberger</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>The pathogen- and incidence-based DALY approach: an appropriate [corrected] methodology for estimating the burden of infectious diseases</article-title>. <source>PLoS ONE.</source> (<year>2013</year>) <volume>8</volume>:<fpage>e79740</fpage>. <pub-id pub-id-type="doi">10.1371/annotation/caf33818-3453-4e30-b307-7526427b09b7</pub-id></citation>
</ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>C</given-names></name> <name><surname>Wang</surname> <given-names>B</given-names></name> <name><surname>Liu</surname> <given-names>S</given-names></name> <name><surname>Li</surname> <given-names>S</given-names></name> <name><surname>Zhang</surname> <given-names>K</given-names></name> <name><surname>Luo</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>Type 2 diabetes attributable to PM2</article-title>.5: A global burden study from 1990 to 2019. <source>Environ Int</source>. (<year>2021</year>) <volume>156</volume>:<fpage>106725</fpage>. <pub-id pub-id-type="doi">10.1016/j.envint.2021.106725</pub-id><pub-id pub-id-type="pmid">34171589</pub-id></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Roth</surname> <given-names>GA</given-names></name> <name><surname>Abate</surname> <given-names>D</given-names></name> <name><surname>Abate</surname> <given-names>KH</given-names></name> <name><surname>Abay</surname> <given-names>SM</given-names></name> <name><surname>Abbafati</surname> <given-names>C</given-names></name> <name><surname>Abbasi</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980&#x02013;2017: a systematic analysis for the global burden of disease study 2017</article-title>. <source>Lancet</source>. (<year>2018</year>) <volume>392</volume>:<fpage>1736</fpage>&#x02013;<lpage>88</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(18)32203-7</pub-id><pub-id pub-id-type="pmid">30496103</pub-id></citation></ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Karimkhani</surname> <given-names>C</given-names></name> <name><surname>Boyers</surname> <given-names>LN</given-names></name> <name><surname>Prescott</surname> <given-names>L</given-names></name> <name><surname>Welch</surname> <given-names>V</given-names></name> <name><surname>Delamere</surname> <given-names>FM</given-names></name> <name><surname>Nasser</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Global burden of skin disease as reflected in Cochrane database of systematic reviews</article-title>. <source>JAMA Dermatol.</source> (<year>2014</year>) <volume>150</volume>:<fpage>945</fpage>&#x02013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1001/jamadermatol.2014.709</pub-id><pub-id pub-id-type="pmid">24807687</pub-id></citation></ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Raff</surname> <given-names>AB</given-names></name> <name><surname>Kroshinsky</surname> <given-names>D</given-names></name></person-group>. <article-title>Cellulitis: a Review</article-title>. <source>JAMA.</source> (<year>2016</year>) <volume>316</volume>:<fpage>325</fpage>&#x02013;<lpage>37</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2016.8825</pub-id><pub-id pub-id-type="pmid">27434444</pub-id></citation></ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Karimkhani</surname> <given-names>C</given-names></name> <name><surname>Dellavalle</surname> <given-names>RP</given-names></name> <name><surname>Coffeng</surname> <given-names>LE</given-names></name> <name><surname>Flohr</surname> <given-names>C</given-names></name> <name><surname>Hay</surname> <given-names>RJ</given-names></name> <name><surname>Langan</surname> <given-names>SM</given-names></name> <etal/></person-group>. <article-title>Global skin disease morbidity and mortality: an update from the global burden of disease study 2013</article-title>. <source>JAMA Dermatol.</source> (<year>2017</year>) <volume>153</volume>:<fpage>406</fpage>&#x02013;<lpage>12</lpage>. <pub-id pub-id-type="doi">10.1001/jamadermatol.2016.5538</pub-id><pub-id pub-id-type="pmid">28249066</pub-id></citation></ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maverakis</surname> <given-names>E</given-names></name> <name><surname>Marzano</surname> <given-names>AV</given-names></name> <name><surname>Le</surname> <given-names>ST</given-names></name> <name><surname>Callen</surname> <given-names>JP</given-names></name> <name><surname>Bruggen</surname> <given-names>MC</given-names></name> <name><surname>Guenova</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Pyoderma gangrenosum</article-title>. <source>Nat Rev Dis Primers.</source> (<year>2020</year>) <volume>6</volume>:<fpage>81</fpage>. <pub-id pub-id-type="doi">10.1038/s41572-020-0213-x</pub-id><pub-id pub-id-type="pmid">33033263</pub-id></citation></ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Byrd</surname> <given-names>AL</given-names></name> <name><surname>Belkaid</surname> <given-names>Y</given-names></name> <name><surname>Segre</surname> <given-names>JA</given-names></name></person-group>. <article-title>The human skin microbiome</article-title>. <source>Nat Rev Microbiol.</source> (<year>2018</year>) <volume>16</volume>:<fpage>143</fpage>&#x02013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.1038/nrmicro.2017.157</pub-id><pub-id pub-id-type="pmid">29332945</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Laube</surname> <given-names>S</given-names></name></person-group>. <article-title>Skin infections and ageing</article-title>. <source>Ageing Res Rev.</source> (<year>2004</year>) <volume>3</volume>:<fpage>69</fpage>&#x02013;<lpage>89</lpage>. <pub-id pub-id-type="doi">10.1016/j.arr.2003.08.003</pub-id><pub-id pub-id-type="pmid">15163103</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>DG</given-names></name> <name><surname>Xia</surname> <given-names>FD</given-names></name> <name><surname>Khosravi</surname> <given-names>H</given-names></name> <name><surname>Dewan</surname> <given-names>AK</given-names></name> <name><surname>Pallin</surname> <given-names>DJ</given-names></name> <name><surname>Baugh</surname> <given-names>CW</given-names></name> <etal/></person-group>. <article-title>Outcomes of early dermatology consultation for inpatients diagnosed with cellulitis</article-title>. <source>JAMA Dermatol.</source> (<year>2018</year>) <volume>154</volume>:<fpage>537</fpage>&#x02013;<lpage>43</lpage>. <pub-id pub-id-type="doi">10.1001/jamadermatol.2017.6197</pub-id><pub-id pub-id-type="pmid">29453874</pub-id></citation></ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Weng</surname> <given-names>QY</given-names></name> <name><surname>Raff</surname> <given-names>AB</given-names></name> <name><surname>Cohen</surname> <given-names>JM</given-names></name> <name><surname>Gunasekera</surname> <given-names>N</given-names></name> <name><surname>Okhovat</surname> <given-names>JP</given-names></name> <name><surname>Vedak</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Costs and consequences associated with misdiagnosed lower extremity cellulitis</article-title>. <source>JAMA Dermatol.</source> (<year>2017</year>) <volume>153</volume>:<fpage>141</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1001/jamadermatol.2016.3816</pub-id><pub-id pub-id-type="pmid">27806170</pub-id></citation></ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ren</surname> <given-names>Z</given-names></name> <name><surname>Silverberg</surname> <given-names>JI</given-names></name></person-group>. <article-title>Burden, risk factors, and infectious complications of cellulitis and erysipelas in US adults and children in the emergency department setting</article-title>. <source>J Am Acad Dermatol.</source> (<year>2021</year>) <volume>84</volume>:<fpage>1496</fpage>&#x02013;<lpage>503</lpage>. <pub-id pub-id-type="doi">10.1016/j.jaad.2020.11.021</pub-id><pub-id pub-id-type="pmid">33238162</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Esposito</surname> <given-names>S</given-names></name> <name><surname>Bassetti</surname> <given-names>M</given-names></name> <name><surname>Concia</surname> <given-names>E</given-names></name> <name><surname>De Simone</surname> <given-names>G</given-names></name> <name><surname>De Rosa</surname> <given-names>FG</given-names></name> <name><surname>Grossi</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Diagnosis and management of skin and soft-tissue infections (SSTI). A literature review and consensus statement: an update</article-title>. <source>J Chemother.</source> (<year>2017</year>) <volume>29</volume>:<fpage>197</fpage> -<lpage>214</lpage>. <pub-id pub-id-type="doi">10.1080/1120009X.2017.1311398</pub-id><pub-id pub-id-type="pmid">28378613</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ibrahim</surname> <given-names>F</given-names></name> <name><surname>Khan</surname> <given-names>T</given-names></name> <name><surname>Pujalte</surname> <given-names>GG</given-names></name></person-group>. <article-title>Bacterial skin infections</article-title>. <source>Prim Care.</source> (<year>2015</year>) <volume>42</volume>:<fpage>485</fpage>&#x02013;<lpage>99</lpage>. <pub-id pub-id-type="doi">10.1016/j.pop.2015.08.001</pub-id><pub-id pub-id-type="pmid">26612370</pub-id></citation></ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kaye</surname> <given-names>KS</given-names></name> <name><surname>Petty</surname> <given-names>LA</given-names></name> <name><surname>Shorr</surname> <given-names>AF</given-names></name> <name><surname>Zilberberg</surname> <given-names>MD</given-names></name></person-group>. <article-title>Current epidemiology, etiology, and burden of acute skin infections in the United States</article-title>. <source>Clin Infect Dis.</source> (<year>2019</year>) <volume>68</volume>:<fpage>S1936s9</fpage>. <pub-id pub-id-type="doi">10.1093/cid/ciz002</pub-id><pub-id pub-id-type="pmid">30957165</pub-id></citation></ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Marina</surname> <given-names>SS</given-names></name> <name><surname>Bocheva</surname> <given-names>GS</given-names></name> <name><surname>Kazanjieva</surname> <given-names>JS</given-names></name></person-group>. <article-title>Severe bacterial infections of the skin: uncommon presentations</article-title>. <source>Clin Dermatol.</source> (<year>2005</year>) <volume>23</volume>:<fpage>621</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1016/j.clindermatol.2005.07.003</pub-id><pub-id pub-id-type="pmid">16325071</pub-id></citation></ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Di Domenico</surname> <given-names>EG</given-names></name> <name><surname>Farulla</surname> <given-names>I</given-names></name> <name><surname>Prignano</surname> <given-names>G</given-names></name> <name><surname>Gallo</surname> <given-names>MT</given-names></name> <name><surname>Vespaziani</surname> <given-names>M</given-names></name> <name><surname>Cavallo</surname> <given-names>I</given-names></name> <etal/></person-group>. <article-title>Biofilm is a major virulence determinant in bacterial colonization of chronic skin ulcers independently from the multidrug resistant phenotype</article-title>. <source>Int J Mol Sci</source>. (<year>2017</year>) <volume>18</volume>:<fpage>77</fpage>. <pub-id pub-id-type="doi">10.3390/ijms18051077</pub-id><pub-id pub-id-type="pmid">28513576</pub-id></citation></ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><collab>Bj5107710.Scice determinant in bacterial colonization of chronic skin ulcers independently from</collab> <etal/></person-group>. <article-title>Risk factors for acute cellulitis of the lower limb: a prospective case-control study</article-title>. <source>Clin Infect Dis.</source> (<year>2005</year>) <volume>41</volume>:<fpage>1416</fpage>&#x02013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1086/497127</pub-id><pub-id pub-id-type="pmid">16231251</pub-id></citation></ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Quirke</surname> <given-names>M</given-names></name> <name><surname>Ayoub</surname> <given-names>F</given-names></name> <name><surname>McCabe</surname> <given-names>A</given-names></name> <name><surname>Boland</surname> <given-names>F</given-names></name> <name><surname>Smith</surname> <given-names>B</given-names></name> <name><surname>O&#x00027;Sullivan</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Risk factors for non-purulent leg cellulitis: a systematic review and meta-analysis</article-title>. <source>Br J Dermatol.</source> (<year>2017</year>) <volume>177</volume>:<fpage>382</fpage>&#x02013;<lpage>94</lpage>. <pub-id pub-id-type="doi">10.1111/bjd.15186</pub-id><pub-id pub-id-type="pmid">27864837</pub-id></citation></ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname> <given-names>XR</given-names></name> <name><surname>Mukewar</surname> <given-names>S</given-names></name> <name><surname>Kiran</surname> <given-names>RP</given-names></name> <name><surname>Remzi</surname> <given-names>FH</given-names></name> <name><surname>Hammel</surname> <given-names>J</given-names></name> <name><surname>Shen</surname> <given-names>B</given-names></name></person-group>. <article-title>Risk factors for peristomal pyoderma gangrenosum complicating inflammatory bowel disease</article-title>. <source>J Crohns Colitis.</source> (<year>2013</year>) <volume>7</volume>:<fpage>e171</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.crohns.2012.08.001</pub-id><pub-id pub-id-type="pmid">22959399</pub-id></citation></ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zuo</surname> <given-names>KJ</given-names></name> <name><surname>Fung</surname> <given-names>E</given-names></name> <name><surname>Tredget</surname> <given-names>EE</given-names></name> <name><surname>Lin</surname> <given-names>AN</given-names></name></person-group>. <article-title>A systematic review of post-surgical pyoderma gangrenosum: identification of risk factors and proposed management strategy</article-title>. <source>J Plast Reconstr Aesthet Surg.</source> (<year>2015</year>) <volume>68</volume>:<fpage>295</fpage>&#x02013;<lpage>303</lpage>. <pub-id pub-id-type="doi">10.1016/j.bjps.2014.12.036</pub-id><pub-id pub-id-type="pmid">25589459</pub-id></citation></ref>
</ref-list> 
</back>
</article>