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Modelling the control of bovine brucellosis in India

Brucellosis imposes substantial impacts on livestock production and public health worldwide. A stochastic, age-structured model incorporating herd demographics was developed describing within- and between-herd transmission of Brucella abortus in dairy cattle herds. The model was fitted to data from...

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Autores principales: Holt, H. R., Walker, M., Beauvais, W., Kaur, P., Bedi, J. S., Mangtani, P., Sharma, N. S., Gill, J. P. S., Godfroid, J., McGiven, J., Guitian, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9991488/
https://www.ncbi.nlm.nih.gov/pubmed/36882115
http://dx.doi.org/10.1098/rsif.2022.0756
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author Holt, H. R.
Walker, M.
Beauvais, W.
Kaur, P.
Bedi, J. S.
Mangtani, P.
Sharma, N. S.
Gill, J. P. S.
Godfroid, J.
McGiven, J.
Guitian, J.
author_facet Holt, H. R.
Walker, M.
Beauvais, W.
Kaur, P.
Bedi, J. S.
Mangtani, P.
Sharma, N. S.
Gill, J. P. S.
Godfroid, J.
McGiven, J.
Guitian, J.
author_sort Holt, H. R.
collection PubMed
description Brucellosis imposes substantial impacts on livestock production and public health worldwide. A stochastic, age-structured model incorporating herd demographics was developed describing within- and between-herd transmission of Brucella abortus in dairy cattle herds. The model was fitted to data from a cross-sectional study conducted in Punjab State of India and used to evaluate the effectiveness of control strategies under consideration. Based on model results, stakeholder acceptance and constraints regarding vaccine supply, vaccination of replacement calves in large farms should be prioritized. Test and removal applied at early stages of the control programme where seroprevalence is high would not constitute an effective or acceptable use of resources because significant numbers of animals would be ‘removed’ (culled or not used for breeding) based on false positive results. To achieve sustained reductions in brucellosis, policymakers must commit to maintaining vaccination in the long term, which may eventually reduce frequency of infection in the livestock reservoir to a low enough level for elimination to be a realistic objective. This work provides key strategic insights into the control of brucellosis in India, which has the largest cattle population globally, and a general modelling framework for evaluating control strategies in endemic settings.
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spelling pubmed-99914882023-03-08 Modelling the control of bovine brucellosis in India Holt, H. R. Walker, M. Beauvais, W. Kaur, P. Bedi, J. S. Mangtani, P. Sharma, N. S. Gill, J. P. S. Godfroid, J. McGiven, J. Guitian, J. J R Soc Interface Life Sciences–Mathematics interface Brucellosis imposes substantial impacts on livestock production and public health worldwide. A stochastic, age-structured model incorporating herd demographics was developed describing within- and between-herd transmission of Brucella abortus in dairy cattle herds. The model was fitted to data from a cross-sectional study conducted in Punjab State of India and used to evaluate the effectiveness of control strategies under consideration. Based on model results, stakeholder acceptance and constraints regarding vaccine supply, vaccination of replacement calves in large farms should be prioritized. Test and removal applied at early stages of the control programme where seroprevalence is high would not constitute an effective or acceptable use of resources because significant numbers of animals would be ‘removed’ (culled or not used for breeding) based on false positive results. To achieve sustained reductions in brucellosis, policymakers must commit to maintaining vaccination in the long term, which may eventually reduce frequency of infection in the livestock reservoir to a low enough level for elimination to be a realistic objective. This work provides key strategic insights into the control of brucellosis in India, which has the largest cattle population globally, and a general modelling framework for evaluating control strategies in endemic settings. The Royal Society 2023-03-08 /pmc/articles/PMC9991488/ /pubmed/36882115 http://dx.doi.org/10.1098/rsif.2022.0756 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Mathematics interface
Holt, H. R.
Walker, M.
Beauvais, W.
Kaur, P.
Bedi, J. S.
Mangtani, P.
Sharma, N. S.
Gill, J. P. S.
Godfroid, J.
McGiven, J.
Guitian, J.
Modelling the control of bovine brucellosis in India
title Modelling the control of bovine brucellosis in India
title_full Modelling the control of bovine brucellosis in India
title_fullStr Modelling the control of bovine brucellosis in India
title_full_unstemmed Modelling the control of bovine brucellosis in India
title_short Modelling the control of bovine brucellosis in India
title_sort modelling the control of bovine brucellosis in india
topic Life Sciences–Mathematics interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9991488/
https://www.ncbi.nlm.nih.gov/pubmed/36882115
http://dx.doi.org/10.1098/rsif.2022.0756
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