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Re‐parameterization of a mathematical model of African horse sickness virus using data from a systematic literature search
African horse sickness (AHS) is a vector‐borne disease transmitted by Culicoides spp., endemic to sub‐Saharan Africa. There have been many examples of historic and recent outbreaks in the Middle East, Asia and Europe. However, not much is known about infection dynamics and outbreak potential in thes...
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/PMC9543668/ https://www.ncbi.nlm.nih.gov/pubmed/34921513 http://dx.doi.org/10.1111/tbed.14420 |
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author | Fairbanks, Emma L. Brennan, Marnie L. Mertens, Peter P. C. Tildesley, Michael J. Daly, Janet M. |
author_facet | Fairbanks, Emma L. Brennan, Marnie L. Mertens, Peter P. C. Tildesley, Michael J. Daly, Janet M. |
author_sort | Fairbanks, Emma L. |
collection | PubMed |
description | African horse sickness (AHS) is a vector‐borne disease transmitted by Culicoides spp., endemic to sub‐Saharan Africa. There have been many examples of historic and recent outbreaks in the Middle East, Asia and Europe. However, not much is known about infection dynamics and outbreak potential in these naive populations. In order to better inform a previously published ordinary differential equation model, we performed a systematic literature search to identify studies documenting experimental infection of naive (control) equids in vaccination trials. Data on the time until the onset of viraemia, clinical signs and death after experimental infection of a naive equid and duration of viraemia were extracted. The time to viraemia was 4.6 days and the time to clinical signs was 4.9 days, longer than the previously estimated latent period of 3.7 days. The infectious periods of animals that died/were euthanized or survived were found to be 3.9 and 8.7 days, whereas previous estimations were 4.4 and 6 days, respectively. The case fatality was also found to be higher than previous estimations. The updated parameter values (along with other more recently published estimates from literature) resulted in an increase in the number of host deaths, decrease in the duration of the outbreak and greater prevalence in vectors. |
format | Online Article Text |
id | pubmed-9543668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95436682022-10-14 Re‐parameterization of a mathematical model of African horse sickness virus using data from a systematic literature search Fairbanks, Emma L. Brennan, Marnie L. Mertens, Peter P. C. Tildesley, Michael J. Daly, Janet M. Transbound Emerg Dis Original Articles African horse sickness (AHS) is a vector‐borne disease transmitted by Culicoides spp., endemic to sub‐Saharan Africa. There have been many examples of historic and recent outbreaks in the Middle East, Asia and Europe. However, not much is known about infection dynamics and outbreak potential in these naive populations. In order to better inform a previously published ordinary differential equation model, we performed a systematic literature search to identify studies documenting experimental infection of naive (control) equids in vaccination trials. Data on the time until the onset of viraemia, clinical signs and death after experimental infection of a naive equid and duration of viraemia were extracted. The time to viraemia was 4.6 days and the time to clinical signs was 4.9 days, longer than the previously estimated latent period of 3.7 days. The infectious periods of animals that died/were euthanized or survived were found to be 3.9 and 8.7 days, whereas previous estimations were 4.4 and 6 days, respectively. The case fatality was also found to be higher than previous estimations. The updated parameter values (along with other more recently published estimates from literature) resulted in an increase in the number of host deaths, decrease in the duration of the outbreak and greater prevalence in vectors. John Wiley and Sons Inc. 2022-01-12 2022-07 /pmc/articles/PMC9543668/ /pubmed/34921513 http://dx.doi.org/10.1111/tbed.14420 Text en © 2021 The Authors. Transboundary and Emerging Diseases published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Fairbanks, Emma L. Brennan, Marnie L. Mertens, Peter P. C. Tildesley, Michael J. Daly, Janet M. Re‐parameterization of a mathematical model of African horse sickness virus using data from a systematic literature search |
title | Re‐parameterization of a mathematical model of African horse sickness virus using data from a systematic literature search |
title_full | Re‐parameterization of a mathematical model of African horse sickness virus using data from a systematic literature search |
title_fullStr | Re‐parameterization of a mathematical model of African horse sickness virus using data from a systematic literature search |
title_full_unstemmed | Re‐parameterization of a mathematical model of African horse sickness virus using data from a systematic literature search |
title_short | Re‐parameterization of a mathematical model of African horse sickness virus using data from a systematic literature search |
title_sort | re‐parameterization of a mathematical model of african horse sickness virus using data from a systematic literature search |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543668/ https://www.ncbi.nlm.nih.gov/pubmed/34921513 http://dx.doi.org/10.1111/tbed.14420 |
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