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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-9022809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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