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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-8459964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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