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Quantifying risk factors and potential geographic extent of African swine fever across the world

African swine fever (ASF) has spread to many countries in Africa, Europe and Asia in the past decades. However, the potential geographic extent of ASF infection is unknown. Here we combined a modeling framework with the assembled contemporary records of ASF cases and multiple covariates to predict t...

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Detalles Bibliográficos
Autores principales: Jiang, Dong, Ma, Tian, Hao, Mengmeng, Ding, Fangyu, Sun, Kai, Wang, Qian, Kang, Tingting, Wang, Di, Zhao, Shen, Li, Meng, Xie, Xiaolan, Fan, Peiwei, Meng, Ze, Zhang, Shize, Qian, Yushu, Edwards, John, Chen, Shuai, Li, Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022809/
https://www.ncbi.nlm.nih.gov/pubmed/35446903
http://dx.doi.org/10.1371/journal.pone.0267128
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author Jiang, Dong
Ma, Tian
Hao, Mengmeng
Ding, Fangyu
Sun, Kai
Wang, Qian
Kang, Tingting
Wang, Di
Zhao, Shen
Li, Meng
Xie, Xiaolan
Fan, Peiwei
Meng, Ze
Zhang, Shize
Qian, Yushu
Edwards, John
Chen, Shuai
Li, Yin
author_facet Jiang, Dong
Ma, Tian
Hao, Mengmeng
Ding, Fangyu
Sun, Kai
Wang, Qian
Kang, Tingting
Wang, Di
Zhao, Shen
Li, Meng
Xie, Xiaolan
Fan, Peiwei
Meng, Ze
Zhang, Shize
Qian, Yushu
Edwards, John
Chen, Shuai
Li, Yin
author_sort Jiang, Dong
collection PubMed
description African swine fever (ASF) has spread to many countries in Africa, Europe and Asia in the past decades. However, the potential geographic extent of ASF infection is unknown. Here we combined a modeling framework with the assembled contemporary records of ASF cases and multiple covariates to predict the risk distribution of ASF at a global scale. Local spatial variations in ASF risk derived from domestic pigs is influenced strongly by livestock factors, while the risk of having ASF in wild boars is mainly associated with natural habitat covariates. The risk maps show that ASF is to be ubiquitous in many areas, with a higher risk in areas in the northern hemisphere. Nearly half of the world’s domestic pigs (1.388 billion) are in the high-risk zones. Our results provide a better understanding of the potential distribution beyond the current geographical scope of the disease.
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spelling pubmed-90228092022-04-22 Quantifying risk factors and potential geographic extent of African swine fever across the world Jiang, Dong Ma, Tian Hao, Mengmeng Ding, Fangyu Sun, Kai Wang, Qian Kang, Tingting Wang, Di Zhao, Shen Li, Meng Xie, Xiaolan Fan, Peiwei Meng, Ze Zhang, Shize Qian, Yushu Edwards, John Chen, Shuai Li, Yin PLoS One Research Article African swine fever (ASF) has spread to many countries in Africa, Europe and Asia in the past decades. However, the potential geographic extent of ASF infection is unknown. Here we combined a modeling framework with the assembled contemporary records of ASF cases and multiple covariates to predict the risk distribution of ASF at a global scale. Local spatial variations in ASF risk derived from domestic pigs is influenced strongly by livestock factors, while the risk of having ASF in wild boars is mainly associated with natural habitat covariates. The risk maps show that ASF is to be ubiquitous in many areas, with a higher risk in areas in the northern hemisphere. Nearly half of the world’s domestic pigs (1.388 billion) are in the high-risk zones. Our results provide a better understanding of the potential distribution beyond the current geographical scope of the disease. Public Library of Science 2022-04-21 /pmc/articles/PMC9022809/ /pubmed/35446903 http://dx.doi.org/10.1371/journal.pone.0267128 Text en © 2022 Jiang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jiang, Dong
Ma, Tian
Hao, Mengmeng
Ding, Fangyu
Sun, Kai
Wang, Qian
Kang, Tingting
Wang, Di
Zhao, Shen
Li, Meng
Xie, Xiaolan
Fan, Peiwei
Meng, Ze
Zhang, Shize
Qian, Yushu
Edwards, John
Chen, Shuai
Li, Yin
Quantifying risk factors and potential geographic extent of African swine fever across the world
title Quantifying risk factors and potential geographic extent of African swine fever across the world
title_full Quantifying risk factors and potential geographic extent of African swine fever across the world
title_fullStr Quantifying risk factors and potential geographic extent of African swine fever across the world
title_full_unstemmed Quantifying risk factors and potential geographic extent of African swine fever across the world
title_short Quantifying risk factors and potential geographic extent of African swine fever across the world
title_sort quantifying risk factors and potential geographic extent of african swine fever across the world
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022809/
https://www.ncbi.nlm.nih.gov/pubmed/35446903
http://dx.doi.org/10.1371/journal.pone.0267128
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