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Projected burden of disease for bacillary dysentery due to flood events in Guangxi, China
Many researchers have been studying the influence of floods on intestinal infection in recent years. This study aimed to project the future disease burden of bacillary dysentery associated with floods in Guangxi, China. Relying on the longitudinal data, a generalized additive mixed model was applied...
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Published in: | The Science of the total environment 2017-12, Vol.601-602, p.1298-1305 |
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description | Many researchers have been studying the influence of floods on intestinal infection in recent years. This study aimed to project the future disease burden of bacillary dysentery associated with floods in Guangxi, China. Relying on the longitudinal data, a generalized additive mixed model was applied to quantify the relationship between the monthly morbidity of bacillary dysentery and floods with two severity levels from 2004 to 2010, controlling for other meteorological variables. Years Lived with Disability (YLDs) was used as the measure of the burden of bacillary dysentery in the future of Guangxi, China. According to the generalized additive mixed model, the relative risks (RR) of moderate and severe floods on the morbidity of bacillary dysentery were 1.17 (95% CI: 1.03–1.33) and 1.39 (95% CI: 1.14–1.70), respectively. The regression analysis also indicated that the flood duration was negatively associated with the morbidity of bacillary dysentery (with RR: 0.63, 95% CI: 0.44–0.90). Considering the effects of floods only, compared with the YLDs in 2010, increasing flood events may lead to a 4.0% increase in the YLDs for bacillary dysentery by 2020, 2100, 0.0% by 2050, and an 8.0% increase by 2030 in Guangxi, if other factors remain constant. Considering all potential changes include floods, temperature and population size, the YLDs for bacillary dysentery may increase by up to 16.0% by 2020, 20.0% by 2030, 2050, and 0.0% by 2100, compared to that in 2010 under the moderate flood scenario; Under the severe flood scenario, the YLDs for bacillary dysentery may increase by up to 16.0% by 2020, 20.0% by 2030, 2050, and 4.0% by 2100.
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•Floods would increase in severity and frequency in the future.•To quantify the relationship between the morbidity of bacillary dysentery and floods•To project the burden of bacillary dysentery relate to floods based on various scenarios•Floods-related health burden of bacillary dysentery may increase in the future due to change in climate. |
doi_str_mv | 10.1016/j.scitotenv.2017.05.020 |
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[Display omitted]
•Floods would increase in severity and frequency in the future.•To quantify the relationship between the morbidity of bacillary dysentery and floods•To project the burden of bacillary dysentery relate to floods based on various scenarios•Floods-related health burden of bacillary dysentery may increase in the future due to change in climate.</description><identifier>ISSN: 0048-9697</identifier><identifier>EISSN: 1879-1026</identifier><identifier>DOI: 10.1016/j.scitotenv.2017.05.020</identifier><identifier>PMID: 28605848</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Bacillary dysentery ; China - epidemiology ; Dysentery, Bacillary - epidemiology ; Floods ; Humans ; Morbidity ; Poisson regression ; Projection ; Regression Analysis ; Risk Assessment ; Years Lived with Disability</subject><ispartof>The Science of the total environment, 2017-12, Vol.601-602, p.1298-1305</ispartof><rights>2017</rights><rights>Copyright © 2017. Published by Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c437t-cfa068ab373c7e4b98a21f0fc55708b30c7bb24141844fb3dda74b130aa5679f3</citedby><cites>FETCH-LOGICAL-c437t-cfa068ab373c7e4b98a21f0fc55708b30c7bb24141844fb3dda74b130aa5679f3</cites><orcidid>0000-0002-6489-3990</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28605848$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Xuena</creatorcontrib><creatorcontrib>Liu, Zhidong</creatorcontrib><creatorcontrib>Ding, Guoyong</creatorcontrib><creatorcontrib>Jiang, Baofa</creatorcontrib><title>Projected burden of disease for bacillary dysentery due to flood events in Guangxi, China</title><title>The Science of the total environment</title><addtitle>Sci Total Environ</addtitle><description>Many researchers have been studying the influence of floods on intestinal infection in recent years. This study aimed to project the future disease burden of bacillary dysentery associated with floods in Guangxi, China. Relying on the longitudinal data, a generalized additive mixed model was applied to quantify the relationship between the monthly morbidity of bacillary dysentery and floods with two severity levels from 2004 to 2010, controlling for other meteorological variables. Years Lived with Disability (YLDs) was used as the measure of the burden of bacillary dysentery in the future of Guangxi, China. According to the generalized additive mixed model, the relative risks (RR) of moderate and severe floods on the morbidity of bacillary dysentery were 1.17 (95% CI: 1.03–1.33) and 1.39 (95% CI: 1.14–1.70), respectively. The regression analysis also indicated that the flood duration was negatively associated with the morbidity of bacillary dysentery (with RR: 0.63, 95% CI: 0.44–0.90). Considering the effects of floods only, compared with the YLDs in 2010, increasing flood events may lead to a 4.0% increase in the YLDs for bacillary dysentery by 2020, 2100, 0.0% by 2050, and an 8.0% increase by 2030 in Guangxi, if other factors remain constant. Considering all potential changes include floods, temperature and population size, the YLDs for bacillary dysentery may increase by up to 16.0% by 2020, 20.0% by 2030, 2050, and 0.0% by 2100, compared to that in 2010 under the moderate flood scenario; Under the severe flood scenario, the YLDs for bacillary dysentery may increase by up to 16.0% by 2020, 20.0% by 2030, 2050, and 4.0% by 2100.
[Display omitted]
•Floods would increase in severity and frequency in the future.•To quantify the relationship between the morbidity of bacillary dysentery and floods•To project the burden of bacillary dysentery relate to floods based on various scenarios•Floods-related health burden of bacillary dysentery may increase in the future due to change in climate.</description><subject>Bacillary dysentery</subject><subject>China - epidemiology</subject><subject>Dysentery, Bacillary - epidemiology</subject><subject>Floods</subject><subject>Humans</subject><subject>Morbidity</subject><subject>Poisson regression</subject><subject>Projection</subject><subject>Regression Analysis</subject><subject>Risk Assessment</subject><subject>Years Lived with Disability</subject><issn>0048-9697</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFkE1PHDEMhiNUBNuFvwA59tAZnJnMJHNEq5ZWWokeyoFTlA-nzWp3AsnMqvz7ZrXAFV9sWa_92g8h1wxqBqy_2dTZhilOOO7rBpiooauhgROyYFIMFYOm_0QWAFxWQz-Ic_I55w2UEJKdkfNG9tBJLhfk8VeKG7QTOmrm5HCk0VMXMuqM1MdEjbZhu9XphbqXjOOEh2pGOkXqtzE6ivvSzTSM9G7W459_4Std_Q2jviCnXm8zXr7mJXn4_u336ke1vr_7ubpdV5a3Yqqs19BLbVrRWoHcDFI3zIO3XSdAmhasMKbhjDPJuTetc1pww1rQuuvF4Nsl-XLc-5Ti84x5UruQLZabR4xzVmyAoQE-dKxIxVFqU8w5oVdPKezKb4qBOnBVG_XOVR24KuhU4Vomr15NZrND9z73BrIIbo8CLK_uA6bDIhwtupAKXuVi-NDkP5eZjm8</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Liu, Xuena</creator><creator>Liu, Zhidong</creator><creator>Ding, Guoyong</creator><creator>Jiang, Baofa</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6489-3990</orcidid></search><sort><creationdate>20171201</creationdate><title>Projected burden of disease for bacillary dysentery due to flood events in Guangxi, China</title><author>Liu, Xuena ; Liu, Zhidong ; Ding, Guoyong ; Jiang, Baofa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c437t-cfa068ab373c7e4b98a21f0fc55708b30c7bb24141844fb3dda74b130aa5679f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Bacillary dysentery</topic><topic>China - epidemiology</topic><topic>Dysentery, Bacillary - epidemiology</topic><topic>Floods</topic><topic>Humans</topic><topic>Morbidity</topic><topic>Poisson regression</topic><topic>Projection</topic><topic>Regression Analysis</topic><topic>Risk Assessment</topic><topic>Years Lived with Disability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Xuena</creatorcontrib><creatorcontrib>Liu, Zhidong</creatorcontrib><creatorcontrib>Ding, Guoyong</creatorcontrib><creatorcontrib>Jiang, Baofa</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Xuena</au><au>Liu, Zhidong</au><au>Ding, Guoyong</au><au>Jiang, Baofa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Projected burden of disease for bacillary dysentery due to flood events in Guangxi, China</atitle><jtitle>The Science of the total environment</jtitle><addtitle>Sci Total Environ</addtitle><date>2017-12-01</date><risdate>2017</risdate><volume>601-602</volume><spage>1298</spage><epage>1305</epage><pages>1298-1305</pages><issn>0048-9697</issn><eissn>1879-1026</eissn><abstract>Many researchers have been studying the influence of floods on intestinal infection in recent years. This study aimed to project the future disease burden of bacillary dysentery associated with floods in Guangxi, China. Relying on the longitudinal data, a generalized additive mixed model was applied to quantify the relationship between the monthly morbidity of bacillary dysentery and floods with two severity levels from 2004 to 2010, controlling for other meteorological variables. Years Lived with Disability (YLDs) was used as the measure of the burden of bacillary dysentery in the future of Guangxi, China. According to the generalized additive mixed model, the relative risks (RR) of moderate and severe floods on the morbidity of bacillary dysentery were 1.17 (95% CI: 1.03–1.33) and 1.39 (95% CI: 1.14–1.70), respectively. The regression analysis also indicated that the flood duration was negatively associated with the morbidity of bacillary dysentery (with RR: 0.63, 95% CI: 0.44–0.90). Considering the effects of floods only, compared with the YLDs in 2010, increasing flood events may lead to a 4.0% increase in the YLDs for bacillary dysentery by 2020, 2100, 0.0% by 2050, and an 8.0% increase by 2030 in Guangxi, if other factors remain constant. Considering all potential changes include floods, temperature and population size, the YLDs for bacillary dysentery may increase by up to 16.0% by 2020, 20.0% by 2030, 2050, and 0.0% by 2100, compared to that in 2010 under the moderate flood scenario; Under the severe flood scenario, the YLDs for bacillary dysentery may increase by up to 16.0% by 2020, 20.0% by 2030, 2050, and 4.0% by 2100.
[Display omitted]
•Floods would increase in severity and frequency in the future.•To quantify the relationship between the morbidity of bacillary dysentery and floods•To project the burden of bacillary dysentery relate to floods based on various scenarios•Floods-related health burden of bacillary dysentery may increase in the future due to change in climate.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>28605848</pmid><doi>10.1016/j.scitotenv.2017.05.020</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-6489-3990</orcidid></addata></record> |
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subjects | Bacillary dysentery China - epidemiology Dysentery, Bacillary - epidemiology Floods Humans Morbidity Poisson regression Projection Regression Analysis Risk Assessment Years Lived with Disability |
title | Projected burden of disease for bacillary dysentery due to flood events in Guangxi, China |
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