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Predicting temperature-dependent transmission suitability of bluetongue virus in livestock
The transmission of vector-borne diseases is governed by complex factors including pathogen characteristics, vector–host interactions, and environmental conditions. Temperature is a major driver for many vector-borne diseases including Bluetongue viral (BTV) disease, a midge-borne febrile disease of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323090/ https://www.ncbi.nlm.nih.gov/pubmed/34330315 http://dx.doi.org/10.1186/s13071-021-04826-y |
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author | El Moustaid, Fadoua Thornton, Zorian Slamani, Hani Ryan, Sadie J. Johnson, Leah R. |
author_facet | El Moustaid, Fadoua Thornton, Zorian Slamani, Hani Ryan, Sadie J. Johnson, Leah R. |
author_sort | El Moustaid, Fadoua |
collection | PubMed |
description | The transmission of vector-borne diseases is governed by complex factors including pathogen characteristics, vector–host interactions, and environmental conditions. Temperature is a major driver for many vector-borne diseases including Bluetongue viral (BTV) disease, a midge-borne febrile disease of ruminants, notably livestock, whose etiology ranges from mild or asymptomatic to rapidly fatal, thus threatening animal agriculture and the economy of affected countries. Using modeling tools, we seek to predict where the transmission can occur based on suitable temperatures for BTV. We fit thermal performance curves to temperature-sensitive midge life-history traits, using a Bayesian approach. We incorporate these curves into S(T), a transmission suitability metric derived from the disease’s basic reproductive number, [Formula: see text] This suitability metric encompasses all components that are known to be temperature-dependent. We use trait responses for two species of key midge vectors, Culicoides sonorensis and Culicoides variipennis present in North America. Our results show that outbreaks of BTV are more likely between 15[Formula: see text] C and [Formula: see text] , with predicted peak transmission risk at 26 [Formula: see text] C. The greatest uncertainty in S(T) is associated with the following: the uncertainty in mortality and fecundity of midges near optimal temperature for transmission; midges’ probability of becoming infectious post-infection at the lower edge of the thermal range; and the biting rate together with vector competence at the higher edge of the thermal range. We compare three model formulations and show that incorporating thermal curves into all three leads to similar BTV risk predictions. To demonstrate the utility of this modeling approach, we created global suitability maps indicating the areas at high and long-term risk of BTV transmission, to assess risk and to anticipate potential locations of disease establishment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-021-04826-y. |
format | Online Article Text |
id | pubmed-8323090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83230902021-07-30 Predicting temperature-dependent transmission suitability of bluetongue virus in livestock El Moustaid, Fadoua Thornton, Zorian Slamani, Hani Ryan, Sadie J. Johnson, Leah R. Parasit Vectors Research The transmission of vector-borne diseases is governed by complex factors including pathogen characteristics, vector–host interactions, and environmental conditions. Temperature is a major driver for many vector-borne diseases including Bluetongue viral (BTV) disease, a midge-borne febrile disease of ruminants, notably livestock, whose etiology ranges from mild or asymptomatic to rapidly fatal, thus threatening animal agriculture and the economy of affected countries. Using modeling tools, we seek to predict where the transmission can occur based on suitable temperatures for BTV. We fit thermal performance curves to temperature-sensitive midge life-history traits, using a Bayesian approach. We incorporate these curves into S(T), a transmission suitability metric derived from the disease’s basic reproductive number, [Formula: see text] This suitability metric encompasses all components that are known to be temperature-dependent. We use trait responses for two species of key midge vectors, Culicoides sonorensis and Culicoides variipennis present in North America. Our results show that outbreaks of BTV are more likely between 15[Formula: see text] C and [Formula: see text] , with predicted peak transmission risk at 26 [Formula: see text] C. The greatest uncertainty in S(T) is associated with the following: the uncertainty in mortality and fecundity of midges near optimal temperature for transmission; midges’ probability of becoming infectious post-infection at the lower edge of the thermal range; and the biting rate together with vector competence at the higher edge of the thermal range. We compare three model formulations and show that incorporating thermal curves into all three leads to similar BTV risk predictions. To demonstrate the utility of this modeling approach, we created global suitability maps indicating the areas at high and long-term risk of BTV transmission, to assess risk and to anticipate potential locations of disease establishment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-021-04826-y. BioMed Central 2021-07-30 /pmc/articles/PMC8323090/ /pubmed/34330315 http://dx.doi.org/10.1186/s13071-021-04826-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research El Moustaid, Fadoua Thornton, Zorian Slamani, Hani Ryan, Sadie J. Johnson, Leah R. Predicting temperature-dependent transmission suitability of bluetongue virus in livestock |
title | Predicting temperature-dependent transmission suitability of bluetongue virus in livestock |
title_full | Predicting temperature-dependent transmission suitability of bluetongue virus in livestock |
title_fullStr | Predicting temperature-dependent transmission suitability of bluetongue virus in livestock |
title_full_unstemmed | Predicting temperature-dependent transmission suitability of bluetongue virus in livestock |
title_short | Predicting temperature-dependent transmission suitability of bluetongue virus in livestock |
title_sort | predicting temperature-dependent transmission suitability of bluetongue virus in livestock |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323090/ https://www.ncbi.nlm.nih.gov/pubmed/34330315 http://dx.doi.org/10.1186/s13071-021-04826-y |
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