Clustering of and Risk Factors for the Porcine High Fever Disease in a Region of Vietnam
Summary Porcine high fever disease (PHFD) emerged in 2006 in China and spread to Vietnam. Little work has been carried out to investigate PHFD risk factors and space–time dynamics. To fill this gap, we investigated probable cases of PHFD at household level as the outcome. A study area, approximately...
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Veröffentlicht in: | Transboundary and emerging diseases 2012-02, Vol.59 (1), p.49-61 |
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Porcine high fever disease (PHFD) emerged in 2006 in China and spread to Vietnam. Little work has been carried out to investigate PHFD risk factors and space–time dynamics. To fill this gap, we investigated probable cases of PHFD at household level as the outcome. A study area, approximately 100 sq. km, was selected from a province of southern Vietnam that had reported the outbreak of PHFD in 2008. A survey was conducted in the study area to collect information about swine health problems during 2008. The questionnaire included three sections: general information, clinical signs of disease in pigs and production factors believed to be risk factors. Cases were defined at the household level and included interpretation of clinical signs in series. Logistic regression with a random intercept at the hamlet level was used to assess risk factors for PHFD at the household level. Spatial clustering was investigated using the D‐function and a Cuzick–Edward’s test. Spatial clusters were evaluated using a spatial relative risk surface and the spatial scan statistic using a Bernoulli model. Space–time clustering was explored using a space–time K‐function and Knox’s test. Space–time clusters were evaluated using a space–time permutation model in SaTScan. Of 955 households with questionnaire data, 33.4% were classified as cases. The statistical significance of space and space–time clustering differed between methods employed. The risk factors associated with occurrence of cases were higher numbers of sows and finishing pigs (log 2 transformed), receiving pigs from an external source and the interaction between using ‘water green crop’ (WGC) as pig feed and owning ducks with or without direct contact with pigs. The interaction between the presence of ducks and feeding WGC to pigs suggested the involvement of pathogens that might be present in water (environment) and could further replicate in or on ducks. |
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Porcine high fever disease (PHFD) emerged in 2006 in China and spread to Vietnam. Little work has been carried out to investigate PHFD risk factors and space–time dynamics. To fill this gap, we investigated probable cases of PHFD at household level as the outcome. A study area, approximately 100 sq. km, was selected from a province of southern Vietnam that had reported the outbreak of PHFD in 2008. A survey was conducted in the study area to collect information about swine health problems during 2008. The questionnaire included three sections: general information, clinical signs of disease in pigs and production factors believed to be risk factors. Cases were defined at the household level and included interpretation of clinical signs in series. Logistic regression with a random intercept at the hamlet level was used to assess risk factors for PHFD at the household level. Spatial clustering was investigated using the D‐function and a Cuzick–Edward’s test. Spatial clusters were evaluated using a spatial relative risk surface and the spatial scan statistic using a Bernoulli model. Space–time clustering was explored using a space–time K‐function and Knox’s test. Space–time clusters were evaluated using a space–time permutation model in SaTScan. Of 955 households with questionnaire data, 33.4% were classified as cases. The statistical significance of space and space–time clustering differed between methods employed. The risk factors associated with occurrence of cases were higher numbers of sows and finishing pigs (log 2 transformed), receiving pigs from an external source and the interaction between using ‘water green crop’ (WGC) as pig feed and owning ducks with or without direct contact with pigs. The interaction between the presence of ducks and feeding WGC to pigs suggested the involvement of pathogens that might be present in water (environment) and could further replicate in or on ducks.</description><identifier>ISSN: 1865-1674</identifier><identifier>EISSN: 1865-1682</identifier><identifier>DOI: 10.1111/j.1865-1682.2011.01239.x</identifier><identifier>PMID: 21722329</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Animal diseases ; Animals ; Arteriviridae ; Classical Swine Fever - epidemiology ; Classical Swine Fever - transmission ; Cluster Analysis ; clustering ; Crops ; Disease Outbreaks - veterinary ; Ducks ; Feeding ; Female ; Health problems ; Hogs ; Households ; Logistic Models ; Male ; Outbreaks ; Pathogens ; pig ; porcine high fever disease ; porcine reproductive and respiratory syndrome ; Risk Factors ; RNA Virus Infections - epidemiology ; RNA Virus Infections - transmission ; RNA Virus Infections - veterinary ; RNA Virus Infections - virology ; Space-Time Clustering ; Surveys and Questionnaires ; Swine ; Swine Diseases - epidemiology ; Swine Diseases - transmission ; Swine Diseases - virology ; Vietnam ; Vietnam - epidemiology</subject><ispartof>Transboundary and emerging diseases, 2012-02, Vol.59 (1), p.49-61</ispartof><rights>2011 Blackwell Verlag GmbH</rights><rights>2011 Blackwell Verlag GmbH.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4189-4d5cb39ee9c7653ab1376a4bf2561d90cd178ea78a36bb89a65fe3b5a3c1e50b3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1865-1682.2011.01239.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1865-1682.2011.01239.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,782,786,1419,27931,27932,45581,45582</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21722329$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Le, H.</creatorcontrib><creatorcontrib>Poljak, Z.</creatorcontrib><creatorcontrib>Deardon, R.</creatorcontrib><creatorcontrib>Dewey, C. E.</creatorcontrib><title>Clustering of and Risk Factors for the Porcine High Fever Disease in a Region of Vietnam</title><title>Transboundary and emerging diseases</title><addtitle>Transbound Emerg Dis</addtitle><description>Summary
Porcine high fever disease (PHFD) emerged in 2006 in China and spread to Vietnam. Little work has been carried out to investigate PHFD risk factors and space–time dynamics. To fill this gap, we investigated probable cases of PHFD at household level as the outcome. A study area, approximately 100 sq. km, was selected from a province of southern Vietnam that had reported the outbreak of PHFD in 2008. A survey was conducted in the study area to collect information about swine health problems during 2008. The questionnaire included three sections: general information, clinical signs of disease in pigs and production factors believed to be risk factors. Cases were defined at the household level and included interpretation of clinical signs in series. Logistic regression with a random intercept at the hamlet level was used to assess risk factors for PHFD at the household level. Spatial clustering was investigated using the D‐function and a Cuzick–Edward’s test. Spatial clusters were evaluated using a spatial relative risk surface and the spatial scan statistic using a Bernoulli model. Space–time clustering was explored using a space–time K‐function and Knox’s test. Space–time clusters were evaluated using a space–time permutation model in SaTScan. Of 955 households with questionnaire data, 33.4% were classified as cases. The statistical significance of space and space–time clustering differed between methods employed. The risk factors associated with occurrence of cases were higher numbers of sows and finishing pigs (log 2 transformed), receiving pigs from an external source and the interaction between using ‘water green crop’ (WGC) as pig feed and owning ducks with or without direct contact with pigs. The interaction between the presence of ducks and feeding WGC to pigs suggested the involvement of pathogens that might be present in water (environment) and could further replicate in or on ducks.</description><subject>Animal diseases</subject><subject>Animals</subject><subject>Arteriviridae</subject><subject>Classical Swine Fever - epidemiology</subject><subject>Classical Swine Fever - transmission</subject><subject>Cluster Analysis</subject><subject>clustering</subject><subject>Crops</subject><subject>Disease Outbreaks - veterinary</subject><subject>Ducks</subject><subject>Feeding</subject><subject>Female</subject><subject>Health problems</subject><subject>Hogs</subject><subject>Households</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Outbreaks</subject><subject>Pathogens</subject><subject>pig</subject><subject>porcine high fever disease</subject><subject>porcine reproductive and respiratory syndrome</subject><subject>Risk Factors</subject><subject>RNA Virus Infections - epidemiology</subject><subject>RNA Virus Infections - transmission</subject><subject>RNA Virus Infections - veterinary</subject><subject>RNA Virus Infections - virology</subject><subject>Space-Time Clustering</subject><subject>Surveys and Questionnaires</subject><subject>Swine</subject><subject>Swine Diseases - epidemiology</subject><subject>Swine Diseases - transmission</subject><subject>Swine Diseases - virology</subject><subject>Vietnam</subject><subject>Vietnam - epidemiology</subject><issn>1865-1674</issn><issn>1865-1682</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU1v1DAQhq0K1E_-ArJ6gUuCP2I7viDBttuCKmiXtlS9WE4y2XqbTVo7ge2_r8OWPXDAF480j57RzIsQpiSl8X1YpDSXIqEyZykjlKaEMq7T1Rba3TRebWqV7aC9EBaESKKl2EY7jCrGONO76GbSDKEH79o57mps2wrPXLjHU1v2nQ-47jzu7wCfd750LeBTN7_DU_gFHh-5ADYAdi22eAZz17Wj4tpB39rlAXpd2ybAm5d_H11Njy8np8nZ95Mvk09nSZnRXCdZJcqCawBdKim4LShX0mZFzYSklSZlRVUOVuWWy6LItZWiBl4Iy0sKghR8H71bex989zhA6M3ShRKaxrbQDcFomklFZJZF8v1_yXhYzuJYLSJ6-A-66Abfxj1GX7yoYCRCb1-goVhCZR68W1r_ZP4eNwIf18Bv18DTpk_JOIqahRnzMWNWZgzR_AnRrMzl5-OjsYyCZC1wMaLVRmD9vZGKK2F-fjsxs9uL_OsPPTU3_Bn9GpzZ</recordid><startdate>201202</startdate><enddate>201202</enddate><creator>Le, H.</creator><creator>Poljak, Z.</creator><creator>Deardon, R.</creator><creator>Dewey, C. E.</creator><general>Blackwell Publishing Ltd</general><general>Hindawi Limited</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</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>7U1</scope><scope>7U2</scope><scope>7X8</scope></search><sort><creationdate>201202</creationdate><title>Clustering of and Risk Factors for the Porcine High Fever Disease in a Region of Vietnam</title><author>Le, H. ; Poljak, Z. ; Deardon, R. ; Dewey, C. E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4189-4d5cb39ee9c7653ab1376a4bf2561d90cd178ea78a36bb89a65fe3b5a3c1e50b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Animal diseases</topic><topic>Animals</topic><topic>Arteriviridae</topic><topic>Classical Swine Fever - epidemiology</topic><topic>Classical Swine Fever - transmission</topic><topic>Cluster Analysis</topic><topic>clustering</topic><topic>Crops</topic><topic>Disease Outbreaks - veterinary</topic><topic>Ducks</topic><topic>Feeding</topic><topic>Female</topic><topic>Health problems</topic><topic>Hogs</topic><topic>Households</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Outbreaks</topic><topic>Pathogens</topic><topic>pig</topic><topic>porcine high fever disease</topic><topic>porcine reproductive and respiratory syndrome</topic><topic>Risk Factors</topic><topic>RNA Virus Infections - epidemiology</topic><topic>RNA Virus Infections - transmission</topic><topic>RNA Virus Infections - veterinary</topic><topic>RNA Virus Infections - virology</topic><topic>Space-Time Clustering</topic><topic>Surveys and Questionnaires</topic><topic>Swine</topic><topic>Swine Diseases - epidemiology</topic><topic>Swine Diseases - transmission</topic><topic>Swine Diseases - virology</topic><topic>Vietnam</topic><topic>Vietnam - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Le, H.</creatorcontrib><creatorcontrib>Poljak, Z.</creatorcontrib><creatorcontrib>Deardon, R.</creatorcontrib><creatorcontrib>Dewey, C. E.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</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>Risk Abstracts</collection><collection>Safety Science and Risk</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, H.</au><au>Poljak, Z.</au><au>Deardon, R.</au><au>Dewey, C. E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clustering of and Risk Factors for the Porcine High Fever Disease in a Region of Vietnam</atitle><jtitle>Transboundary and emerging diseases</jtitle><addtitle>Transbound Emerg Dis</addtitle><date>2012-02</date><risdate>2012</risdate><volume>59</volume><issue>1</issue><spage>49</spage><epage>61</epage><pages>49-61</pages><issn>1865-1674</issn><eissn>1865-1682</eissn><abstract>Summary
Porcine high fever disease (PHFD) emerged in 2006 in China and spread to Vietnam. Little work has been carried out to investigate PHFD risk factors and space–time dynamics. To fill this gap, we investigated probable cases of PHFD at household level as the outcome. A study area, approximately 100 sq. km, was selected from a province of southern Vietnam that had reported the outbreak of PHFD in 2008. A survey was conducted in the study area to collect information about swine health problems during 2008. The questionnaire included three sections: general information, clinical signs of disease in pigs and production factors believed to be risk factors. Cases were defined at the household level and included interpretation of clinical signs in series. Logistic regression with a random intercept at the hamlet level was used to assess risk factors for PHFD at the household level. Spatial clustering was investigated using the D‐function and a Cuzick–Edward’s test. Spatial clusters were evaluated using a spatial relative risk surface and the spatial scan statistic using a Bernoulli model. Space–time clustering was explored using a space–time K‐function and Knox’s test. Space–time clusters were evaluated using a space–time permutation model in SaTScan. Of 955 households with questionnaire data, 33.4% were classified as cases. The statistical significance of space and space–time clustering differed between methods employed. The risk factors associated with occurrence of cases were higher numbers of sows and finishing pigs (log 2 transformed), receiving pigs from an external source and the interaction between using ‘water green crop’ (WGC) as pig feed and owning ducks with or without direct contact with pigs. The interaction between the presence of ducks and feeding WGC to pigs suggested the involvement of pathogens that might be present in water (environment) and could further replicate in or on ducks.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>21722329</pmid><doi>10.1111/j.1865-1682.2011.01239.x</doi><tpages>13</tpages></addata></record> |
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subjects | Animal diseases Animals Arteriviridae Classical Swine Fever - epidemiology Classical Swine Fever - transmission Cluster Analysis clustering Crops Disease Outbreaks - veterinary Ducks Feeding Female Health problems Hogs Households Logistic Models Male Outbreaks Pathogens pig porcine high fever disease porcine reproductive and respiratory syndrome Risk Factors RNA Virus Infections - epidemiology RNA Virus Infections - transmission RNA Virus Infections - veterinary RNA Virus Infections - virology Space-Time Clustering Surveys and Questionnaires Swine Swine Diseases - epidemiology Swine Diseases - transmission Swine Diseases - virology Vietnam Vietnam - epidemiology |
title | Clustering of and Risk Factors for the Porcine High Fever Disease in a Region of Vietnam |
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