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Causes of delayed outbreak responses and their impacts on epidemic spread
Livestock diseases have devastating consequences economically, socially and politically across the globe. In certain systems, pathogens remain viable after host death, which enables residual transmissions from infected carcasses. Rapid culling and carcass disposal are well-established strategies for...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086880/ https://www.ncbi.nlm.nih.gov/pubmed/33653111 http://dx.doi.org/10.1098/rsif.2020.0933 |
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author | Tao, Yun Probert, William J. M. Shea, Katriona Runge, Michael C. Lafferty, Kevin Tildesley, Michael Ferrari, Matthew |
author_facet | Tao, Yun Probert, William J. M. Shea, Katriona Runge, Michael C. Lafferty, Kevin Tildesley, Michael Ferrari, Matthew |
author_sort | Tao, Yun |
collection | PubMed |
description | Livestock diseases have devastating consequences economically, socially and politically across the globe. In certain systems, pathogens remain viable after host death, which enables residual transmissions from infected carcasses. Rapid culling and carcass disposal are well-established strategies for stamping out an outbreak and limiting its impact; however, wait-times for these procedures, i.e. response delays, are typically farm-specific and time-varying due to logistical constraints. Failing to incorporate variable response delays in epidemiological models may understate outbreak projections and mislead management decisions. We revisited the 2001 foot-and-mouth epidemic in the United Kingdom and sought to understand how misrepresented response delays can influence model predictions. Survival analysis identified farm size and control demand as key factors that impeded timely culling and disposal activities on individual farms. Using these factors in the context of an existing policy to predict local variation in response times significantly affected predictions at the national scale. Models that assumed fixed, timely responses grossly underestimated epidemic severity and its long-term consequences. As a result, this study demonstrates how general inclusion of response dynamics and recognition of partial controllability of interventions can help inform management priorities during epidemics of livestock diseases. |
format | Online Article Text |
id | pubmed-8086880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-80868802021-05-21 Causes of delayed outbreak responses and their impacts on epidemic spread Tao, Yun Probert, William J. M. Shea, Katriona Runge, Michael C. Lafferty, Kevin Tildesley, Michael Ferrari, Matthew J R Soc Interface Life Sciences–Mathematics interface Livestock diseases have devastating consequences economically, socially and politically across the globe. In certain systems, pathogens remain viable after host death, which enables residual transmissions from infected carcasses. Rapid culling and carcass disposal are well-established strategies for stamping out an outbreak and limiting its impact; however, wait-times for these procedures, i.e. response delays, are typically farm-specific and time-varying due to logistical constraints. Failing to incorporate variable response delays in epidemiological models may understate outbreak projections and mislead management decisions. We revisited the 2001 foot-and-mouth epidemic in the United Kingdom and sought to understand how misrepresented response delays can influence model predictions. Survival analysis identified farm size and control demand as key factors that impeded timely culling and disposal activities on individual farms. Using these factors in the context of an existing policy to predict local variation in response times significantly affected predictions at the national scale. Models that assumed fixed, timely responses grossly underestimated epidemic severity and its long-term consequences. As a result, this study demonstrates how general inclusion of response dynamics and recognition of partial controllability of interventions can help inform management priorities during epidemics of livestock diseases. The Royal Society 2021-03-03 /pmc/articles/PMC8086880/ /pubmed/33653111 http://dx.doi.org/10.1098/rsif.2020.0933 Text en © 2021 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 Tao, Yun Probert, William J. M. Shea, Katriona Runge, Michael C. Lafferty, Kevin Tildesley, Michael Ferrari, Matthew Causes of delayed outbreak responses and their impacts on epidemic spread |
title | Causes of delayed outbreak responses and their impacts on epidemic spread |
title_full | Causes of delayed outbreak responses and their impacts on epidemic spread |
title_fullStr | Causes of delayed outbreak responses and their impacts on epidemic spread |
title_full_unstemmed | Causes of delayed outbreak responses and their impacts on epidemic spread |
title_short | Causes of delayed outbreak responses and their impacts on epidemic spread |
title_sort | causes of delayed outbreak responses and their impacts on epidemic spread |
topic | Life Sciences–Mathematics interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086880/ https://www.ncbi.nlm.nih.gov/pubmed/33653111 http://dx.doi.org/10.1098/rsif.2020.0933 |
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