A systematic approach to illuminate a new hot spot of avian influenza virus circulation in South Vietnam, 2016–2017
In South Vietnam, live bird markets (LBMs) are key in the value chain of poultry products and spread of avian influenza virus (AIV) although they may not be the sole determinant of AIV prevalence. For this reason, a risk analysis of AIV prevalence was conducted accounting for all value chain factors...
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creator | Le, Kien Trung Stevenson, Mark A. Isoda, Norikazu Nguyen, Lam Thanh Chu, Duc‐Huy Nguyen, Tien Ngoc Nguyen, Long Van Tien, Tien Ngoc Le, Tung Thanh Matsuno, Keita Okamatsu, Masatoshi Sakoda, Yoshihiro |
description | In South Vietnam, live bird markets (LBMs) are key in the value chain of poultry products and spread of avian influenza virus (AIV) although they may not be the sole determinant of AIV prevalence. For this reason, a risk analysis of AIV prevalence was conducted accounting for all value chain factors. A cross‐sectional study of poultry flock managers and poultry on backyard farms, commercial (high biosecurity) farms, LBMs and poultry delivery stations (PDSs) in four districts of Vinh Long province was conducted between December 2016 and August 2017. A total of 3597 swab samples were collected from birds from 101 backyard farms, 50 commercial farms, 58 sellers in LBMs and 19 traders in PDSs. Swab samples were submitted for AIV isolation. At the same time a questionnaire was administered to flock managers asking them to provide details of their knowledge, attitude and practices related to avian influenza. Multiple correspondence analysis and a mixed‐effects multivariable logistic regression model were developed to identify enterprise and flock manager characteristics that increased the risk of AIV positivity. A total of 274 birds were positive for AIV isolation, returning an estimated true prevalence of 7.6% [95% confidence interval (CI): 6.8%–8.5%]. The odds of a bird being AIV positive if it was from an LBM or PDS were 45 (95% CI: 3.4–590) and 25 (95% CI: 1.4–460), respectively, times higher to the odds of a bird from a commercial poultry farm being AIV positive. The odds of birds being AIV positive for respondents with a mixed (uncertain or inconsistent) level and a low level of knowledge about AI were 5.0 (95% CI: 0.20–130) and 3.5 (95% CI: 0.2–62), respectively, times higher to the odd of birds being positive for respondents with a good knowledge of AI. LBMs and PDSs should receive specific emphasis in AI control programs in Vietnam. Our findings provide evidence to support the hypothesis that incomplete respondent knowledge of AI and AIV spread mechanism were associated with an increased risk of AIV positivity. Delivery of education programs specifically designed for those in each enterprise will assist in this regard. The timing and frequency of delivery of education programs are likely to be important if the turnover of those working in LBMs and PDSs is high. |
doi_str_mv | 10.1111/tbed.14380 |
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For this reason, a risk analysis of AIV prevalence was conducted accounting for all value chain factors. A cross‐sectional study of poultry flock managers and poultry on backyard farms, commercial (high biosecurity) farms, LBMs and poultry delivery stations (PDSs) in four districts of Vinh Long province was conducted between December 2016 and August 2017. A total of 3597 swab samples were collected from birds from 101 backyard farms, 50 commercial farms, 58 sellers in LBMs and 19 traders in PDSs. Swab samples were submitted for AIV isolation. At the same time a questionnaire was administered to flock managers asking them to provide details of their knowledge, attitude and practices related to avian influenza. Multiple correspondence analysis and a mixed‐effects multivariable logistic regression model were developed to identify enterprise and flock manager characteristics that increased the risk of AIV positivity. A total of 274 birds were positive for AIV isolation, returning an estimated true prevalence of 7.6% [95% confidence interval (CI): 6.8%–8.5%]. The odds of a bird being AIV positive if it was from an LBM or PDS were 45 (95% CI: 3.4–590) and 25 (95% CI: 1.4–460), respectively, times higher to the odds of a bird from a commercial poultry farm being AIV positive. The odds of birds being AIV positive for respondents with a mixed (uncertain or inconsistent) level and a low level of knowledge about AI were 5.0 (95% CI: 0.20–130) and 3.5 (95% CI: 0.2–62), respectively, times higher to the odd of birds being positive for respondents with a good knowledge of AI. LBMs and PDSs should receive specific emphasis in AI control programs in Vietnam. Our findings provide evidence to support the hypothesis that incomplete respondent knowledge of AI and AIV spread mechanism were associated with an increased risk of AIV positivity. Delivery of education programs specifically designed for those in each enterprise will assist in this regard. The timing and frequency of delivery of education programs are likely to be important if the turnover of those working in LBMs and PDSs is high.</description><identifier>ISSN: 1865-1674</identifier><identifier>EISSN: 1865-1682</identifier><identifier>DOI: 10.1111/tbed.14380</identifier><language>eng</language><publisher>Berlin: Hindawi Limited</publisher><subject>Avian flu ; avian influenza ; Biosecurity ; Birds ; Commercial farms ; Confidence intervals ; Control programs ; Disease hot spots ; Education ; Farms ; Influenza ; knowledge attitude and practice survey ; Low level ; Managers ; Poultry ; poultry delivery station ; Poultry farming ; Regression models ; Risk analysis ; Statistical analysis ; Value chain ; Vietnam ; Viruses</subject><ispartof>Transboundary and emerging diseases, 2022-07, Vol.69 (4), p.e831-e844</ispartof><rights>2021 Wiley‐VCH GmbH</rights><rights>2022 Wiley‐VCH GmbH</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4360-1941ec8dfa9d4adc4cc58abaa04b949a179c2ba9d79612b9c5b0c3dbcbf8fbb03</citedby><cites>FETCH-LOGICAL-c4360-1941ec8dfa9d4adc4cc58abaa04b949a179c2ba9d79612b9c5b0c3dbcbf8fbb03</cites><orcidid>0000-0002-1461-2548 ; 0000-0003-1890-9784 ; 0000-0003-3480-988X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Ftbed.14380$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Ftbed.14380$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,782,786,1419,27933,27934,45583,45584</link.rule.ids></links><search><creatorcontrib>Le, Kien Trung</creatorcontrib><creatorcontrib>Stevenson, Mark A.</creatorcontrib><creatorcontrib>Isoda, Norikazu</creatorcontrib><creatorcontrib>Nguyen, Lam Thanh</creatorcontrib><creatorcontrib>Chu, Duc‐Huy</creatorcontrib><creatorcontrib>Nguyen, Tien Ngoc</creatorcontrib><creatorcontrib>Nguyen, Long Van</creatorcontrib><creatorcontrib>Tien, Tien Ngoc</creatorcontrib><creatorcontrib>Le, Tung Thanh</creatorcontrib><creatorcontrib>Matsuno, Keita</creatorcontrib><creatorcontrib>Okamatsu, Masatoshi</creatorcontrib><creatorcontrib>Sakoda, Yoshihiro</creatorcontrib><title>A systematic approach to illuminate a new hot spot of avian influenza virus circulation in South Vietnam, 2016–2017</title><title>Transboundary and emerging diseases</title><description>In South Vietnam, live bird markets (LBMs) are key in the value chain of poultry products and spread of avian influenza virus (AIV) although they may not be the sole determinant of AIV prevalence. For this reason, a risk analysis of AIV prevalence was conducted accounting for all value chain factors. A cross‐sectional study of poultry flock managers and poultry on backyard farms, commercial (high biosecurity) farms, LBMs and poultry delivery stations (PDSs) in four districts of Vinh Long province was conducted between December 2016 and August 2017. A total of 3597 swab samples were collected from birds from 101 backyard farms, 50 commercial farms, 58 sellers in LBMs and 19 traders in PDSs. Swab samples were submitted for AIV isolation. At the same time a questionnaire was administered to flock managers asking them to provide details of their knowledge, attitude and practices related to avian influenza. Multiple correspondence analysis and a mixed‐effects multivariable logistic regression model were developed to identify enterprise and flock manager characteristics that increased the risk of AIV positivity. A total of 274 birds were positive for AIV isolation, returning an estimated true prevalence of 7.6% [95% confidence interval (CI): 6.8%–8.5%]. The odds of a bird being AIV positive if it was from an LBM or PDS were 45 (95% CI: 3.4–590) and 25 (95% CI: 1.4–460), respectively, times higher to the odds of a bird from a commercial poultry farm being AIV positive. The odds of birds being AIV positive for respondents with a mixed (uncertain or inconsistent) level and a low level of knowledge about AI were 5.0 (95% CI: 0.20–130) and 3.5 (95% CI: 0.2–62), respectively, times higher to the odd of birds being positive for respondents with a good knowledge of AI. LBMs and PDSs should receive specific emphasis in AI control programs in Vietnam. Our findings provide evidence to support the hypothesis that incomplete respondent knowledge of AI and AIV spread mechanism were associated with an increased risk of AIV positivity. Delivery of education programs specifically designed for those in each enterprise will assist in this regard. The timing and frequency of delivery of education programs are likely to be important if the turnover of those working in LBMs and PDSs is high.</description><subject>Avian flu</subject><subject>avian influenza</subject><subject>Biosecurity</subject><subject>Birds</subject><subject>Commercial farms</subject><subject>Confidence intervals</subject><subject>Control programs</subject><subject>Disease hot spots</subject><subject>Education</subject><subject>Farms</subject><subject>Influenza</subject><subject>knowledge attitude and practice survey</subject><subject>Low level</subject><subject>Managers</subject><subject>Poultry</subject><subject>poultry delivery station</subject><subject>Poultry farming</subject><subject>Regression models</subject><subject>Risk analysis</subject><subject>Statistical analysis</subject><subject>Value chain</subject><subject>Vietnam</subject><subject>Viruses</subject><issn>1865-1674</issn><issn>1865-1682</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kc1OwzAMxysEEmNw4QkicUGIjqTfOY4xPqRJHBhcIydNtUxtU5pk0zjxDrwhT0LGEAcO-GBb8s-W7X8QnBI8It6uLJfliCRxgfeCASmyNCRZEe3_5nlyGBwZs8Q4wzRLB4EbI7MxVjZglUDQdb0GsUBWI1XXrlEtWIkAtXKNFtoi03mnKwQrBS1SbVU72b4BWqneGSRUL1ztJ-ltDT1pZxfoRUnbQnOJIkyyz_cPH_Lj4KCC2siTnzgMnm-n88l9OHu8e5iMZ6FI4gyHhCZEiqKsgJYJlCIRIi2AA-CE04QCyamIuC_mNCMRpyLlWMQlF7wqKs5xPAzOd3P9Wa9OGssaZYSsa2ildoZFKY1TmhYR8ejZH3SpXd_67ViUUf_SGJPYUxc7SvTamF5WrOtVA_2GEcy2CrCtAuxbAQ-THbxWtdz8Q7L59fRm1_MFs5WJ_g</recordid><startdate>202207</startdate><enddate>202207</enddate><creator>Le, Kien Trung</creator><creator>Stevenson, Mark A.</creator><creator>Isoda, Norikazu</creator><creator>Nguyen, Lam Thanh</creator><creator>Chu, Duc‐Huy</creator><creator>Nguyen, Tien Ngoc</creator><creator>Nguyen, Long Van</creator><creator>Tien, Tien Ngoc</creator><creator>Le, Tung Thanh</creator><creator>Matsuno, Keita</creator><creator>Okamatsu, Masatoshi</creator><creator>Sakoda, Yoshihiro</creator><general>Hindawi Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7T7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1461-2548</orcidid><orcidid>https://orcid.org/0000-0003-1890-9784</orcidid><orcidid>https://orcid.org/0000-0003-3480-988X</orcidid></search><sort><creationdate>202207</creationdate><title>A systematic approach to illuminate a new hot spot of avian influenza virus circulation in South Vietnam, 2016–2017</title><author>Le, Kien Trung ; Stevenson, Mark A. ; Isoda, Norikazu ; Nguyen, Lam Thanh ; Chu, Duc‐Huy ; Nguyen, Tien Ngoc ; Nguyen, Long Van ; Tien, Tien Ngoc ; Le, Tung Thanh ; Matsuno, Keita ; Okamatsu, Masatoshi ; Sakoda, Yoshihiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4360-1941ec8dfa9d4adc4cc58abaa04b949a179c2ba9d79612b9c5b0c3dbcbf8fbb03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Avian flu</topic><topic>avian influenza</topic><topic>Biosecurity</topic><topic>Birds</topic><topic>Commercial farms</topic><topic>Confidence intervals</topic><topic>Control programs</topic><topic>Disease hot spots</topic><topic>Education</topic><topic>Farms</topic><topic>Influenza</topic><topic>knowledge attitude and practice survey</topic><topic>Low level</topic><topic>Managers</topic><topic>Poultry</topic><topic>poultry delivery station</topic><topic>Poultry farming</topic><topic>Regression models</topic><topic>Risk analysis</topic><topic>Statistical analysis</topic><topic>Value chain</topic><topic>Vietnam</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Le, Kien Trung</creatorcontrib><creatorcontrib>Stevenson, Mark A.</creatorcontrib><creatorcontrib>Isoda, Norikazu</creatorcontrib><creatorcontrib>Nguyen, Lam Thanh</creatorcontrib><creatorcontrib>Chu, Duc‐Huy</creatorcontrib><creatorcontrib>Nguyen, Tien Ngoc</creatorcontrib><creatorcontrib>Nguyen, Long Van</creatorcontrib><creatorcontrib>Tien, Tien Ngoc</creatorcontrib><creatorcontrib>Le, Tung Thanh</creatorcontrib><creatorcontrib>Matsuno, Keita</creatorcontrib><creatorcontrib>Okamatsu, Masatoshi</creatorcontrib><creatorcontrib>Sakoda, Yoshihiro</creatorcontrib><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Transboundary and emerging diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Le, Kien Trung</au><au>Stevenson, Mark A.</au><au>Isoda, Norikazu</au><au>Nguyen, Lam Thanh</au><au>Chu, Duc‐Huy</au><au>Nguyen, Tien Ngoc</au><au>Nguyen, Long Van</au><au>Tien, Tien Ngoc</au><au>Le, Tung Thanh</au><au>Matsuno, Keita</au><au>Okamatsu, Masatoshi</au><au>Sakoda, Yoshihiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A systematic approach to illuminate a new hot spot of avian influenza virus circulation in South Vietnam, 2016–2017</atitle><jtitle>Transboundary and emerging diseases</jtitle><date>2022-07</date><risdate>2022</risdate><volume>69</volume><issue>4</issue><spage>e831</spage><epage>e844</epage><pages>e831-e844</pages><issn>1865-1674</issn><eissn>1865-1682</eissn><abstract>In South Vietnam, live bird markets (LBMs) are key in the value chain of poultry products and spread of avian influenza virus (AIV) although they may not be the sole determinant of AIV prevalence. For this reason, a risk analysis of AIV prevalence was conducted accounting for all value chain factors. A cross‐sectional study of poultry flock managers and poultry on backyard farms, commercial (high biosecurity) farms, LBMs and poultry delivery stations (PDSs) in four districts of Vinh Long province was conducted between December 2016 and August 2017. A total of 3597 swab samples were collected from birds from 101 backyard farms, 50 commercial farms, 58 sellers in LBMs and 19 traders in PDSs. Swab samples were submitted for AIV isolation. At the same time a questionnaire was administered to flock managers asking them to provide details of their knowledge, attitude and practices related to avian influenza. Multiple correspondence analysis and a mixed‐effects multivariable logistic regression model were developed to identify enterprise and flock manager characteristics that increased the risk of AIV positivity. A total of 274 birds were positive for AIV isolation, returning an estimated true prevalence of 7.6% [95% confidence interval (CI): 6.8%–8.5%]. The odds of a bird being AIV positive if it was from an LBM or PDS were 45 (95% CI: 3.4–590) and 25 (95% CI: 1.4–460), respectively, times higher to the odds of a bird from a commercial poultry farm being AIV positive. The odds of birds being AIV positive for respondents with a mixed (uncertain or inconsistent) level and a low level of knowledge about AI were 5.0 (95% CI: 0.20–130) and 3.5 (95% CI: 0.2–62), respectively, times higher to the odd of birds being positive for respondents with a good knowledge of AI. LBMs and PDSs should receive specific emphasis in AI control programs in Vietnam. Our findings provide evidence to support the hypothesis that incomplete respondent knowledge of AI and AIV spread mechanism were associated with an increased risk of AIV positivity. Delivery of education programs specifically designed for those in each enterprise will assist in this regard. The timing and frequency of delivery of education programs are likely to be important if the turnover of those working in LBMs and PDSs is high.</abstract><cop>Berlin</cop><pub>Hindawi Limited</pub><doi>10.1111/tbed.14380</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-1461-2548</orcidid><orcidid>https://orcid.org/0000-0003-1890-9784</orcidid><orcidid>https://orcid.org/0000-0003-3480-988X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Avian flu avian influenza Biosecurity Birds Commercial farms Confidence intervals Control programs Disease hot spots Education Farms Influenza knowledge attitude and practice survey Low level Managers Poultry poultry delivery station Poultry farming Regression models Risk analysis Statistical analysis Value chain Vietnam Viruses |
title | A systematic approach to illuminate a new hot spot of avian influenza virus circulation in South Vietnam, 2016–2017 |
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