Cargando…
Determinants of Newcastle disease in commercial layer chicken farms in two districts of Bangladesh: A case-control study
Newcastle disease (ND) is a real threat for commercial layer chicken farms in Bangladesh. However, only few studies have focused on exploring the epidemiology of this disease. A case-control study was conducted to identify determinants of Newcastle disease in commercial layer chicken farms in Kishor...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403345/ https://www.ncbi.nlm.nih.gov/pubmed/36033317 http://dx.doi.org/10.1016/j.heliyon.2022.e10229 |
_version_ | 1784773354778001408 |
---|---|
author | Roky, Shamsul Alam Das, Moumita Akter, Sharmin Islam, Aminul Paul, Suman |
author_facet | Roky, Shamsul Alam Das, Moumita Akter, Sharmin Islam, Aminul Paul, Suman |
author_sort | Roky, Shamsul Alam |
collection | PubMed |
description | Newcastle disease (ND) is a real threat for commercial layer chicken farms in Bangladesh. However, only few studies have focused on exploring the epidemiology of this disease. A case-control study was conducted to identify determinants of Newcastle disease in commercial layer chicken farms in Kishoreganj and Gazipur district of Bangladesh between September 2019 and February 2020. Farms with birds diagnosed as ND positive based on clinical history, clinical signs and postmortem findings were considered as case and farms that did not have such ND positive chickens were the control for this study. Farmers of 56 case farms and 56 control farms were interviewed face to face using a structured questionnaire. The association between Farms’ ND status and determinants was assessed by multivariable logistic regression with backward elimination. In the final model, six variables were found to be associated with the risk for ND outbreak: age of the farmers (Odds Ratio [OR] 0.94; 95% Confidence Interval [CI] 0.87–0.99), distance from the nearest poultry farms (OR = 3.23, 95% CI 1.27–8.39), number of houses in the farms (OR = 3.06, 95% CI 1.06–8.83), surrounding environments (OR = 5.27, 95% CI 1.96–14.20), rearing different aged bird together (OR = 4.76, 95% CI 1.25–18.19), and no isolation of sick birds (OR = 2.85, 95% CI 1.07–7.55). Alteration of these determinants should reduce the ND burden in commercial layer chicken farms. |
format | Online Article Text |
id | pubmed-9403345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94033452022-08-26 Determinants of Newcastle disease in commercial layer chicken farms in two districts of Bangladesh: A case-control study Roky, Shamsul Alam Das, Moumita Akter, Sharmin Islam, Aminul Paul, Suman Heliyon Research Article Newcastle disease (ND) is a real threat for commercial layer chicken farms in Bangladesh. However, only few studies have focused on exploring the epidemiology of this disease. A case-control study was conducted to identify determinants of Newcastle disease in commercial layer chicken farms in Kishoreganj and Gazipur district of Bangladesh between September 2019 and February 2020. Farms with birds diagnosed as ND positive based on clinical history, clinical signs and postmortem findings were considered as case and farms that did not have such ND positive chickens were the control for this study. Farmers of 56 case farms and 56 control farms were interviewed face to face using a structured questionnaire. The association between Farms’ ND status and determinants was assessed by multivariable logistic regression with backward elimination. In the final model, six variables were found to be associated with the risk for ND outbreak: age of the farmers (Odds Ratio [OR] 0.94; 95% Confidence Interval [CI] 0.87–0.99), distance from the nearest poultry farms (OR = 3.23, 95% CI 1.27–8.39), number of houses in the farms (OR = 3.06, 95% CI 1.06–8.83), surrounding environments (OR = 5.27, 95% CI 1.96–14.20), rearing different aged bird together (OR = 4.76, 95% CI 1.25–18.19), and no isolation of sick birds (OR = 2.85, 95% CI 1.07–7.55). Alteration of these determinants should reduce the ND burden in commercial layer chicken farms. Elsevier 2022-08-13 /pmc/articles/PMC9403345/ /pubmed/36033317 http://dx.doi.org/10.1016/j.heliyon.2022.e10229 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Roky, Shamsul Alam Das, Moumita Akter, Sharmin Islam, Aminul Paul, Suman Determinants of Newcastle disease in commercial layer chicken farms in two districts of Bangladesh: A case-control study |
title | Determinants of Newcastle disease in commercial layer chicken farms in two districts of Bangladesh: A case-control study |
title_full | Determinants of Newcastle disease in commercial layer chicken farms in two districts of Bangladesh: A case-control study |
title_fullStr | Determinants of Newcastle disease in commercial layer chicken farms in two districts of Bangladesh: A case-control study |
title_full_unstemmed | Determinants of Newcastle disease in commercial layer chicken farms in two districts of Bangladesh: A case-control study |
title_short | Determinants of Newcastle disease in commercial layer chicken farms in two districts of Bangladesh: A case-control study |
title_sort | determinants of newcastle disease in commercial layer chicken farms in two districts of bangladesh: a case-control study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403345/ https://www.ncbi.nlm.nih.gov/pubmed/36033317 http://dx.doi.org/10.1016/j.heliyon.2022.e10229 |
work_keys_str_mv | AT rokyshamsulalam determinantsofnewcastlediseaseincommerciallayerchickenfarmsintwodistrictsofbangladeshacasecontrolstudy AT dasmoumita determinantsofnewcastlediseaseincommerciallayerchickenfarmsintwodistrictsofbangladeshacasecontrolstudy AT aktersharmin determinantsofnewcastlediseaseincommerciallayerchickenfarmsintwodistrictsofbangladeshacasecontrolstudy AT islamaminul determinantsofnewcastlediseaseincommerciallayerchickenfarmsintwodistrictsofbangladeshacasecontrolstudy AT paulsuman determinantsofnewcastlediseaseincommerciallayerchickenfarmsintwodistrictsofbangladeshacasecontrolstudy |