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Estimating transmission dynamics of African swine fever virus from experimental studies
African swine fever virus (ASFV) continues to spread across the world, and currently, there are no treatments or vaccines available to combat this virus. Reliable estimates of transmission parameters for ASFV are therefore needed to establish effective contingency plans. This study used data from co...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098825/ https://www.ncbi.nlm.nih.gov/pubmed/36346271 http://dx.doi.org/10.1111/tbed.14757 |
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author | Main, Alastair Ronald Halasa, Tariq Olesen, Ann Sofie Lohse, Louise Rasmussen, Thomas Bruun Belsham, Graham J. Boklund, Anette Bøtner, Anette Christiansen, Lasse Engbo |
author_facet | Main, Alastair Ronald Halasa, Tariq Olesen, Ann Sofie Lohse, Louise Rasmussen, Thomas Bruun Belsham, Graham J. Boklund, Anette Bøtner, Anette Christiansen, Lasse Engbo |
author_sort | Main, Alastair Ronald |
collection | PubMed |
description | African swine fever virus (ASFV) continues to spread across the world, and currently, there are no treatments or vaccines available to combat this virus. Reliable estimates of transmission parameters for ASFV are therefore needed to establish effective contingency plans. This study used data from controlled ASFV inoculations of pigs to assess the transmission parameters. Three models were developed with (binary, piecewise‐linear and exponential) time‐dependent levels of infectiousness based on latency periods of 3–5 days derived from the analysis of 294 ethylenediamine tetraacetic acid–stabilized blood samples originating from 16 pigs with direct and 10 pigs with indirect contact to 8 inoculated pigs. The models were evaluated for three different discrete latency periods of infection. The likelihood ratio test showed that a binary model had an equally good fit for a latency period of 4 or 5 days as the piecewise‐linear and exponential model. However, for a latency period of 3 days, the piecewise‐linear and exponential models had the best fit. The modelling was done in discrete time as testing was conducted on specific days. The main contribution of this study is the estimation of ASFV genotype II transmission through the air in a confined space. The estimated transmission parameters via air are not much lower than for direct contact between pigs. The estimated parameters should be useful for future simulations of control measures against ASFV. |
format | Online Article Text |
id | pubmed-10098825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100988252023-04-14 Estimating transmission dynamics of African swine fever virus from experimental studies Main, Alastair Ronald Halasa, Tariq Olesen, Ann Sofie Lohse, Louise Rasmussen, Thomas Bruun Belsham, Graham J. Boklund, Anette Bøtner, Anette Christiansen, Lasse Engbo Transbound Emerg Dis Original Articles African swine fever virus (ASFV) continues to spread across the world, and currently, there are no treatments or vaccines available to combat this virus. Reliable estimates of transmission parameters for ASFV are therefore needed to establish effective contingency plans. This study used data from controlled ASFV inoculations of pigs to assess the transmission parameters. Three models were developed with (binary, piecewise‐linear and exponential) time‐dependent levels of infectiousness based on latency periods of 3–5 days derived from the analysis of 294 ethylenediamine tetraacetic acid–stabilized blood samples originating from 16 pigs with direct and 10 pigs with indirect contact to 8 inoculated pigs. The models were evaluated for three different discrete latency periods of infection. The likelihood ratio test showed that a binary model had an equally good fit for a latency period of 4 or 5 days as the piecewise‐linear and exponential model. However, for a latency period of 3 days, the piecewise‐linear and exponential models had the best fit. The modelling was done in discrete time as testing was conducted on specific days. The main contribution of this study is the estimation of ASFV genotype II transmission through the air in a confined space. The estimated transmission parameters via air are not much lower than for direct contact between pigs. The estimated parameters should be useful for future simulations of control measures against ASFV. John Wiley and Sons Inc. 2022-11-26 2022-11 /pmc/articles/PMC10098825/ /pubmed/36346271 http://dx.doi.org/10.1111/tbed.14757 Text en © 2022 The Authors. Transboundary and Emerging Diseases published by Wiley‐VCH GmbH. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Main, Alastair Ronald Halasa, Tariq Olesen, Ann Sofie Lohse, Louise Rasmussen, Thomas Bruun Belsham, Graham J. Boklund, Anette Bøtner, Anette Christiansen, Lasse Engbo Estimating transmission dynamics of African swine fever virus from experimental studies |
title | Estimating transmission dynamics of African swine fever virus from experimental studies |
title_full | Estimating transmission dynamics of African swine fever virus from experimental studies |
title_fullStr | Estimating transmission dynamics of African swine fever virus from experimental studies |
title_full_unstemmed | Estimating transmission dynamics of African swine fever virus from experimental studies |
title_short | Estimating transmission dynamics of African swine fever virus from experimental studies |
title_sort | estimating transmission dynamics of african swine fever virus from experimental studies |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098825/ https://www.ncbi.nlm.nih.gov/pubmed/36346271 http://dx.doi.org/10.1111/tbed.14757 |
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