Peste des Petits Ruminants risk factors and space–time clusters in Mymensingh, Bangladesh
Summary Using a hospital‐based case–control study design, our aim was to identify risk factors for—and space–time clusters of—Peste des Petits Ruminants (PPR) in Mymensingh, Bangladesh. Three hundred and eighty PPR cases diagnosed between January 2005 and December 2014 at the Bangladesh Agricultural...
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| Veröffentlicht in: | Transboundary and emerging diseases 2017-12, Vol.64 (6), p.2042-2048 |
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| creator | Rony, M. S. Rahman, A. K. M. A. Alam, M. M. Dhand, N. Ward, M. P. |
| description | Summary
Using a hospital‐based case–control study design, our aim was to identify risk factors for—and space–time clusters of—Peste des Petits Ruminants (PPR) in Mymensingh, Bangladesh. Three hundred and eighty PPR cases diagnosed between January 2005 and December 2014 at the Bangladesh Agricultural University Veterinary Teaching Hospital (BAUVTH) were selected; three controls per case from BAUVTH were then selected (n = 1,048). From records, data extracted included information on date of report, location, age, breed, sex and body weight of goats. A mixed multivariable logistic regression model was built to identify risk factors. Location was included as a random effect and season and demographic variables as fixed effects. The approximate geographic coordinates of locations were collected, and the scan statistic (Bernoulli model) was used to identify space–time clusters of PPR. Compared with goats 6–12 and >12–24 months, respectively. The occurrence of PPR was also significantly higher (odds ratio [OR] 3.2; 95% CI: 1.15–8.59) in the Jamunapari breed than Black Bengals. Significantly higher odds of PPR were observed in winter (OR 1.6; 95% CI: 1.06–2.14) and the monsoon season (OR 1.5; 95% CI: 1.04–2.11) compared with the post‐monsoon season. Two significant (p |
| doi_str_mv | 10.1111/tbed.12615 |
| format | Article |
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Using a hospital‐based case–control study design, our aim was to identify risk factors for—and space–time clusters of—Peste des Petits Ruminants (PPR) in Mymensingh, Bangladesh. Three hundred and eighty PPR cases diagnosed between January 2005 and December 2014 at the Bangladesh Agricultural University Veterinary Teaching Hospital (BAUVTH) were selected; three controls per case from BAUVTH were then selected (n = 1,048). From records, data extracted included information on date of report, location, age, breed, sex and body weight of goats. A mixed multivariable logistic regression model was built to identify risk factors. Location was included as a random effect and season and demographic variables as fixed effects. The approximate geographic coordinates of locations were collected, and the scan statistic (Bernoulli model) was used to identify space–time clusters of PPR. Compared with goats <4 months of age, the odds of PPR were 3 (95% confidence interval [CI]: 1.95–4.66), 1.9 (CI: 1.34–2.76) and 1.8 times (95% CI: 1.19–2.58) greater in goats aged 4–6, >6–12 and >12–24 months, respectively. The occurrence of PPR was also significantly higher (odds ratio [OR] 3.2; 95% CI: 1.15–8.59) in the Jamunapari breed than Black Bengals. Significantly higher odds of PPR were observed in winter (OR 1.6; 95% CI: 1.06–2.14) and the monsoon season (OR 1.5; 95% CI: 1.04–2.11) compared with the post‐monsoon season. Two significant (p < .05) space–time clusters were identified between 2 December 2006 and 6 September 2007 (two locations) and 28 November 2006 and 13 February 2007 (five locations). Peste des Petits Ruminants is endemic in Bangladesh, but also occurs as discrete outbreaks. Control efforts—such as vaccination—should focus on high‐risk groups (4–24 months of age, Jamunapari breed), prior to the onset of winter and the monsoon season so as to increase immunity during high‐risk periods, and focus on disease hotspots.</description><identifier>ISSN: 1865-1674</identifier><identifier>EISSN: 1865-1682</identifier><identifier>DOI: 10.1111/tbed.12615</identifier><identifier>PMID: 28109070</identifier><language>eng</language><publisher>Germany: Hindawi Limited</publisher><subject>Age ; Animals ; Bangladesh ; Bangladesh - epidemiology ; Body weight ; Case-Control Studies ; Case–control ; Clusters ; Confidence intervals ; Demographic variables ; Demographics ; Disease hot spots ; Disease Outbreaks - veterinary ; Female ; Goat Diseases - epidemiology ; Goat Diseases - virology ; Goats ; Health risks ; Immunity ; Logistic Models ; Male ; Monsoons ; Outbreaks ; Peste des petits ruminants ; Peste-des-Petits-Ruminants - epidemiology ; Peste-des-Petits-Ruminants - virology ; Peste-des-petits-ruminants virus - immunology ; PPR ; Regression models ; Risk analysis ; Risk Factors ; Risk groups ; Seasons ; Space-Time Clustering ; Spacetime ; space–time clusters ; Statistical analysis ; Vaccination ; Vaccination - veterinary ; Veterinary medicine ; Wind ; Winter</subject><ispartof>Transboundary and emerging diseases, 2017-12, Vol.64 (6), p.2042-2048</ispartof><rights>2017 Blackwell Verlag GmbH</rights><rights>2017 Blackwell Verlag GmbH.</rights><rights>Copyright © 2017 Blackwell Verlag GmbH</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3935-444929bc8941ab8425821cb0e3b5cd2dc70f8f18f43c07a400208c2ba2bce2a3</citedby><cites>FETCH-LOGICAL-c3935-444929bc8941ab8425821cb0e3b5cd2dc70f8f18f43c07a400208c2ba2bce2a3</cites></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.12615$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Ftbed.12615$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28109070$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rony, M. S.</creatorcontrib><creatorcontrib>Rahman, A. K. M. A.</creatorcontrib><creatorcontrib>Alam, M. M.</creatorcontrib><creatorcontrib>Dhand, N.</creatorcontrib><creatorcontrib>Ward, M. P.</creatorcontrib><title>Peste des Petits Ruminants risk factors and space–time clusters in Mymensingh, Bangladesh</title><title>Transboundary and emerging diseases</title><addtitle>Transbound Emerg Dis</addtitle><description>Summary
Using a hospital‐based case–control study design, our aim was to identify risk factors for—and space–time clusters of—Peste des Petits Ruminants (PPR) in Mymensingh, Bangladesh. Three hundred and eighty PPR cases diagnosed between January 2005 and December 2014 at the Bangladesh Agricultural University Veterinary Teaching Hospital (BAUVTH) were selected; three controls per case from BAUVTH were then selected (n = 1,048). From records, data extracted included information on date of report, location, age, breed, sex and body weight of goats. A mixed multivariable logistic regression model was built to identify risk factors. Location was included as a random effect and season and demographic variables as fixed effects. The approximate geographic coordinates of locations were collected, and the scan statistic (Bernoulli model) was used to identify space–time clusters of PPR. Compared with goats <4 months of age, the odds of PPR were 3 (95% confidence interval [CI]: 1.95–4.66), 1.9 (CI: 1.34–2.76) and 1.8 times (95% CI: 1.19–2.58) greater in goats aged 4–6, >6–12 and >12–24 months, respectively. The occurrence of PPR was also significantly higher (odds ratio [OR] 3.2; 95% CI: 1.15–8.59) in the Jamunapari breed than Black Bengals. Significantly higher odds of PPR were observed in winter (OR 1.6; 95% CI: 1.06–2.14) and the monsoon season (OR 1.5; 95% CI: 1.04–2.11) compared with the post‐monsoon season. Two significant (p < .05) space–time clusters were identified between 2 December 2006 and 6 September 2007 (two locations) and 28 November 2006 and 13 February 2007 (five locations). Peste des Petits Ruminants is endemic in Bangladesh, but also occurs as discrete outbreaks. Control efforts—such as vaccination—should focus on high‐risk groups (4–24 months of age, Jamunapari breed), prior to the onset of winter and the monsoon season so as to increase immunity during high‐risk periods, and focus on disease hotspots.</description><subject>Age</subject><subject>Animals</subject><subject>Bangladesh</subject><subject>Bangladesh - epidemiology</subject><subject>Body weight</subject><subject>Case-Control Studies</subject><subject>Case–control</subject><subject>Clusters</subject><subject>Confidence intervals</subject><subject>Demographic variables</subject><subject>Demographics</subject><subject>Disease hot spots</subject><subject>Disease Outbreaks - veterinary</subject><subject>Female</subject><subject>Goat Diseases - epidemiology</subject><subject>Goat Diseases - virology</subject><subject>Goats</subject><subject>Health risks</subject><subject>Immunity</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Monsoons</subject><subject>Outbreaks</subject><subject>Peste des petits ruminants</subject><subject>Peste-des-Petits-Ruminants - epidemiology</subject><subject>Peste-des-Petits-Ruminants - virology</subject><subject>Peste-des-petits-ruminants virus - immunology</subject><subject>PPR</subject><subject>Regression models</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Risk groups</subject><subject>Seasons</subject><subject>Space-Time Clustering</subject><subject>Spacetime</subject><subject>space–time clusters</subject><subject>Statistical analysis</subject><subject>Vaccination</subject><subject>Vaccination - veterinary</subject><subject>Veterinary medicine</subject><subject>Wind</subject><subject>Winter</subject><issn>1865-1674</issn><issn>1865-1682</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kL1OwzAURi0EoqWw8ADIEgtCBGzHSZyRlvIjFVGhbgyW7TitS-KUOBHqxjvwhjwJLm0ZGPByr3yPP10fAI4xusT-XDVSZ5eYxDjaAV3M4ijAMSO7v31CO-DAuTlCMUrjaB90CMMoRQnqgpexdo2GmXZwrBvTOPjclsYK67vauFeYC9VUtYPCZtAthNJfH5-NKTVURetf-omx8HFZauuMnc4uYF_YaSF84OwQ7OWicPpoU3tgcjucDO6D0dPdw-B6FKgwDaOAUpqSVCqWUiwkoyRiBCuJdCgjlZFMJShnOWY5DRVKBEWIIKaIFEQqTUTYA2fr2EVdvbX-O7w0TumiEFZXrePeAo5YROPEo6d_0HnV1tYvx3EaI5aGYUg8db6mVF05V-ucL2pTinrJMeIr43xlnP8Y9_DJJrKVpb_dolvFHsBr4N0UevlPFJ_0hzfr0G9nLYuY</recordid><startdate>201712</startdate><enddate>201712</enddate><creator>Rony, M. S.</creator><creator>Rahman, A. K. M. A.</creator><creator>Alam, M. M.</creator><creator>Dhand, N.</creator><creator>Ward, M. P.</creator><general>Hindawi Limited</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>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></search><sort><creationdate>201712</creationdate><title>Peste des Petits Ruminants risk factors and space–time clusters in Mymensingh, Bangladesh</title><author>Rony, M. S. ; Rahman, A. K. M. A. ; Alam, M. M. ; Dhand, N. ; Ward, M. P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3935-444929bc8941ab8425821cb0e3b5cd2dc70f8f18f43c07a400208c2ba2bce2a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Age</topic><topic>Animals</topic><topic>Bangladesh</topic><topic>Bangladesh - epidemiology</topic><topic>Body weight</topic><topic>Case-Control Studies</topic><topic>Case–control</topic><topic>Clusters</topic><topic>Confidence intervals</topic><topic>Demographic variables</topic><topic>Demographics</topic><topic>Disease hot spots</topic><topic>Disease Outbreaks - veterinary</topic><topic>Female</topic><topic>Goat Diseases - epidemiology</topic><topic>Goat Diseases - virology</topic><topic>Goats</topic><topic>Health risks</topic><topic>Immunity</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Monsoons</topic><topic>Outbreaks</topic><topic>Peste des petits ruminants</topic><topic>Peste-des-Petits-Ruminants - epidemiology</topic><topic>Peste-des-Petits-Ruminants - virology</topic><topic>Peste-des-petits-ruminants virus - immunology</topic><topic>PPR</topic><topic>Regression models</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Risk groups</topic><topic>Seasons</topic><topic>Space-Time Clustering</topic><topic>Spacetime</topic><topic>space–time clusters</topic><topic>Statistical analysis</topic><topic>Vaccination</topic><topic>Vaccination - veterinary</topic><topic>Veterinary medicine</topic><topic>Wind</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rony, M. S.</creatorcontrib><creatorcontrib>Rahman, A. K. M. A.</creatorcontrib><creatorcontrib>Alam, M. M.</creatorcontrib><creatorcontrib>Dhand, N.</creatorcontrib><creatorcontrib>Ward, M. P.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><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>Rony, M. S.</au><au>Rahman, A. K. M. A.</au><au>Alam, M. M.</au><au>Dhand, N.</au><au>Ward, M. P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Peste des Petits Ruminants risk factors and space–time clusters in Mymensingh, Bangladesh</atitle><jtitle>Transboundary and emerging diseases</jtitle><addtitle>Transbound Emerg Dis</addtitle><date>2017-12</date><risdate>2017</risdate><volume>64</volume><issue>6</issue><spage>2042</spage><epage>2048</epage><pages>2042-2048</pages><issn>1865-1674</issn><eissn>1865-1682</eissn><abstract>Summary
Using a hospital‐based case–control study design, our aim was to identify risk factors for—and space–time clusters of—Peste des Petits Ruminants (PPR) in Mymensingh, Bangladesh. Three hundred and eighty PPR cases diagnosed between January 2005 and December 2014 at the Bangladesh Agricultural University Veterinary Teaching Hospital (BAUVTH) were selected; three controls per case from BAUVTH were then selected (n = 1,048). From records, data extracted included information on date of report, location, age, breed, sex and body weight of goats. A mixed multivariable logistic regression model was built to identify risk factors. Location was included as a random effect and season and demographic variables as fixed effects. The approximate geographic coordinates of locations were collected, and the scan statistic (Bernoulli model) was used to identify space–time clusters of PPR. Compared with goats <4 months of age, the odds of PPR were 3 (95% confidence interval [CI]: 1.95–4.66), 1.9 (CI: 1.34–2.76) and 1.8 times (95% CI: 1.19–2.58) greater in goats aged 4–6, >6–12 and >12–24 months, respectively. The occurrence of PPR was also significantly higher (odds ratio [OR] 3.2; 95% CI: 1.15–8.59) in the Jamunapari breed than Black Bengals. Significantly higher odds of PPR were observed in winter (OR 1.6; 95% CI: 1.06–2.14) and the monsoon season (OR 1.5; 95% CI: 1.04–2.11) compared with the post‐monsoon season. Two significant (p < .05) space–time clusters were identified between 2 December 2006 and 6 September 2007 (two locations) and 28 November 2006 and 13 February 2007 (five locations). Peste des Petits Ruminants is endemic in Bangladesh, but also occurs as discrete outbreaks. Control efforts—such as vaccination—should focus on high‐risk groups (4–24 months of age, Jamunapari breed), prior to the onset of winter and the monsoon season so as to increase immunity during high‐risk periods, and focus on disease hotspots.</abstract><cop>Germany</cop><pub>Hindawi Limited</pub><pmid>28109070</pmid><doi>10.1111/tbed.12615</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Age Animals Bangladesh Bangladesh - epidemiology Body weight Case-Control Studies Case–control Clusters Confidence intervals Demographic variables Demographics Disease hot spots Disease Outbreaks - veterinary Female Goat Diseases - epidemiology Goat Diseases - virology Goats Health risks Immunity Logistic Models Male Monsoons Outbreaks Peste des petits ruminants Peste-des-Petits-Ruminants - epidemiology Peste-des-Petits-Ruminants - virology Peste-des-petits-ruminants virus - immunology PPR Regression models Risk analysis Risk Factors Risk groups Seasons Space-Time Clustering Spacetime space–time clusters Statistical analysis Vaccination Vaccination - veterinary Veterinary medicine Wind Winter |
| title | Peste des Petits Ruminants risk factors and space–time clusters in Mymensingh, Bangladesh |
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