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Modeling the environmental suitability for Bacillus anthracis in the Qinghai Lake Basin, China

Bacillus anthracis is a gram-positive, rod-shaped and endospore-forming bacterium that causes anthrax, a deadly disease to livestock and, occasionally, to humans. The spores are extremely hardy and may remain viable for many years in soil. Previous studies have identified East Qinghai and neighbouri...

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Autores principales: Arotolu, Temitope Emmanuel, Wang, HaoNing, Lv, JiaNing, Shi, Kun, van Gils, Hein, Huang, LiYa, Wang, XiaoLong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565420/
https://www.ncbi.nlm.nih.gov/pubmed/36240150
http://dx.doi.org/10.1371/journal.pone.0275261
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author Arotolu, Temitope Emmanuel
Wang, HaoNing
Lv, JiaNing
Shi, Kun
van Gils, Hein
Huang, LiYa
Wang, XiaoLong
author_facet Arotolu, Temitope Emmanuel
Wang, HaoNing
Lv, JiaNing
Shi, Kun
van Gils, Hein
Huang, LiYa
Wang, XiaoLong
author_sort Arotolu, Temitope Emmanuel
collection PubMed
description Bacillus anthracis is a gram-positive, rod-shaped and endospore-forming bacterium that causes anthrax, a deadly disease to livestock and, occasionally, to humans. The spores are extremely hardy and may remain viable for many years in soil. Previous studies have identified East Qinghai and neighbouring Gansu in northwest China as a potential source of anthrax infection. This study was carried out to identify conditions and areas in the Qinghai Lake basin that are environmentally suitable for B. anthracis distribution. Anthrax occurrence data from 2005–2016 and environmental variables were spatially modeled by a maximum entropy algorithm to evaluate the contribution of the variables to the distribution of B. anthracis. Principal Component Analysis and Variance Inflation Analysis were adopted to limit the number of environmental variables and minimize multicollinearity. Model performance was evaluated using AUC (area under the curve) ROC (receiver operating characteristics) curves. The three variables that contributed most to the suitability model for B. anthracis are a relatively high annual mean temperature of -2 to 0°C, (53%), soil type classified as; cambisols and kastanozems (35%), and a high human population density of 40 individuals per km(2) (12%). The resulting distribution map identifies the permanently inhabited rim of the Qinghai Lake as highly suitable for B. anthracis. Our environmental suitability map and the identified variables provide the nature reserve managers and animal health authorities readily available information to devise both surveillance strategy and control strategy (administration of vaccine to livestock) in B. anthracis suitable regions to abate future epidemics.
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spelling pubmed-95654202022-10-15 Modeling the environmental suitability for Bacillus anthracis in the Qinghai Lake Basin, China Arotolu, Temitope Emmanuel Wang, HaoNing Lv, JiaNing Shi, Kun van Gils, Hein Huang, LiYa Wang, XiaoLong PLoS One Research Article Bacillus anthracis is a gram-positive, rod-shaped and endospore-forming bacterium that causes anthrax, a deadly disease to livestock and, occasionally, to humans. The spores are extremely hardy and may remain viable for many years in soil. Previous studies have identified East Qinghai and neighbouring Gansu in northwest China as a potential source of anthrax infection. This study was carried out to identify conditions and areas in the Qinghai Lake basin that are environmentally suitable for B. anthracis distribution. Anthrax occurrence data from 2005–2016 and environmental variables were spatially modeled by a maximum entropy algorithm to evaluate the contribution of the variables to the distribution of B. anthracis. Principal Component Analysis and Variance Inflation Analysis were adopted to limit the number of environmental variables and minimize multicollinearity. Model performance was evaluated using AUC (area under the curve) ROC (receiver operating characteristics) curves. The three variables that contributed most to the suitability model for B. anthracis are a relatively high annual mean temperature of -2 to 0°C, (53%), soil type classified as; cambisols and kastanozems (35%), and a high human population density of 40 individuals per km(2) (12%). The resulting distribution map identifies the permanently inhabited rim of the Qinghai Lake as highly suitable for B. anthracis. Our environmental suitability map and the identified variables provide the nature reserve managers and animal health authorities readily available information to devise both surveillance strategy and control strategy (administration of vaccine to livestock) in B. anthracis suitable regions to abate future epidemics. Public Library of Science 2022-10-14 /pmc/articles/PMC9565420/ /pubmed/36240150 http://dx.doi.org/10.1371/journal.pone.0275261 Text en © 2022 Arotolu 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
Arotolu, Temitope Emmanuel
Wang, HaoNing
Lv, JiaNing
Shi, Kun
van Gils, Hein
Huang, LiYa
Wang, XiaoLong
Modeling the environmental suitability for Bacillus anthracis in the Qinghai Lake Basin, China
title Modeling the environmental suitability for Bacillus anthracis in the Qinghai Lake Basin, China
title_full Modeling the environmental suitability for Bacillus anthracis in the Qinghai Lake Basin, China
title_fullStr Modeling the environmental suitability for Bacillus anthracis in the Qinghai Lake Basin, China
title_full_unstemmed Modeling the environmental suitability for Bacillus anthracis in the Qinghai Lake Basin, China
title_short Modeling the environmental suitability for Bacillus anthracis in the Qinghai Lake Basin, China
title_sort modeling the environmental suitability for bacillus anthracis in the qinghai lake basin, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565420/
https://www.ncbi.nlm.nih.gov/pubmed/36240150
http://dx.doi.org/10.1371/journal.pone.0275261
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