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Transboundary spread of peste des petits ruminants virus in western China: A prediction model

In pan Pamir Plateau countries, Peste des petits ruminants (PPR) has brought huge losses to the livestock industry and threaten the endangered wildlife. In unknown regions, revealing PPRV transmission among countries is the premise of effective prevention and control, therefore calls for quantified...

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Autores principales: Gao, Shan, Xu, GuoYong, Zeng, Zan, Lv, JiaNing, Huang, LiYa, Wang, HaoNing, Wang, XiaoLong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459964/
https://www.ncbi.nlm.nih.gov/pubmed/34555121
http://dx.doi.org/10.1371/journal.pone.0257898
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author Gao, Shan
Xu, GuoYong
Zeng, Zan
Lv, JiaNing
Huang, LiYa
Wang, HaoNing
Wang, XiaoLong
author_facet Gao, Shan
Xu, GuoYong
Zeng, Zan
Lv, JiaNing
Huang, LiYa
Wang, HaoNing
Wang, XiaoLong
author_sort Gao, Shan
collection PubMed
description In pan Pamir Plateau countries, Peste des petits ruminants (PPR) has brought huge losses to the livestock industry and threaten the endangered wildlife. In unknown regions, revealing PPRV transmission among countries is the premise of effective prevention and control, therefore calls for quantified monitoring on disease communication among countries. In this paper, a MaxEnt model was built for the first time to predict the PPR risk within the research area. The least cost path (LCP) for PPR transboundary communication were calculated and referred to as the maximum available paths (MAP). The results show that there are many places with high-risk in the research area, and the domestic risk in China is lower than that in foreign countries and is mainly determined by human activities. Five LCPs representing corridors among Kazakhstan, Tajikistan, Pakistan, India and China were obtained. This study proves for the first time that there is the possibility of cross-border transmission of diseases by wild and domestic animals. In the future, it will play an important role in monitoring the PPR epidemic and blocking-up its cross-border transmission.
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spelling pubmed-84599642021-09-24 Transboundary spread of peste des petits ruminants virus in western China: A prediction model Gao, Shan Xu, GuoYong Zeng, Zan Lv, JiaNing Huang, LiYa Wang, HaoNing Wang, XiaoLong PLoS One Research Article In pan Pamir Plateau countries, Peste des petits ruminants (PPR) has brought huge losses to the livestock industry and threaten the endangered wildlife. In unknown regions, revealing PPRV transmission among countries is the premise of effective prevention and control, therefore calls for quantified monitoring on disease communication among countries. In this paper, a MaxEnt model was built for the first time to predict the PPR risk within the research area. The least cost path (LCP) for PPR transboundary communication were calculated and referred to as the maximum available paths (MAP). The results show that there are many places with high-risk in the research area, and the domestic risk in China is lower than that in foreign countries and is mainly determined by human activities. Five LCPs representing corridors among Kazakhstan, Tajikistan, Pakistan, India and China were obtained. This study proves for the first time that there is the possibility of cross-border transmission of diseases by wild and domestic animals. In the future, it will play an important role in monitoring the PPR epidemic and blocking-up its cross-border transmission. Public Library of Science 2021-09-23 /pmc/articles/PMC8459964/ /pubmed/34555121 http://dx.doi.org/10.1371/journal.pone.0257898 Text en © 2021 Gao 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
Gao, Shan
Xu, GuoYong
Zeng, Zan
Lv, JiaNing
Huang, LiYa
Wang, HaoNing
Wang, XiaoLong
Transboundary spread of peste des petits ruminants virus in western China: A prediction model
title Transboundary spread of peste des petits ruminants virus in western China: A prediction model
title_full Transboundary spread of peste des petits ruminants virus in western China: A prediction model
title_fullStr Transboundary spread of peste des petits ruminants virus in western China: A prediction model
title_full_unstemmed Transboundary spread of peste des petits ruminants virus in western China: A prediction model
title_short Transboundary spread of peste des petits ruminants virus in western China: A prediction model
title_sort transboundary spread of peste des petits ruminants virus in western china: a prediction model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459964/
https://www.ncbi.nlm.nih.gov/pubmed/34555121
http://dx.doi.org/10.1371/journal.pone.0257898
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