Environmental suitability of Yersinia pestis and the spatial dynamics of plague in the Qinghai Lake region, China

Arotolu Te, Wang Hn, Lv Jn, S Kun, Huang Ly and Wang Xl
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Arotolu Te: Center of Conservation Medicine & Ecological Safety, Northeast Forestry University, Harbin, Heilongjiang Province, P.R. China
Wang Hn: School of Geography and Tourism, Harbin University, Harbin, Heilongjiang Province, P.R. China
Lv Jn: College of Wildlife and Protected Area, Northeast Forestry University, Harbin, Heilongjiang Province, P.R. China
S Kun: Wildlife Institute, Beijing Forestry University, Beijing, P.R. China
Huang Ly: Changbai Mountain Academy of Sciences, Antu, Jilin Province, P.R. China
Wang Xl: Center of Conservation Medicine & Ecological Safety, Northeast Forestry University, Harbin, Heilongjiang Province, P.R. China

Veterinární medicína, 2022, vol. 67, issue 11, 569-578

Abstract: Plague, a highly infectious disease caused by Yersinia pestis, has killed millions of people in history and is still active in the natural foci of the world nowadays. Understanding the spatiotemporal patterns of plague outbreaks in history is critically important, as it may help facilitate the prevention and control for potential future outbreaks. This study's objective was to estimate the effect of the topography, vegetation, climate, and other environmental factors on the Y. pestis ecological niche. A maximum entropy algorithm spatially modelled plague occurrence data from 2004-2018 and the environmental variables to evaluate the contribution of the variables to the distribution of Y. pestis. Our results found that the average minimum temperature in September (-8 °C to +5 °C) and the sheep population density (250 sheep per km2) were influential in characterising the niche. The rim of Qinghai Lake showed more favourable conditions for Y. pestis presence than other areas within the study area. Identifying various factors will assist any future modelling efforts. Our suitability map identifies hotspots and will help public health officials in resource allocation in their quest to abate future plague outbreaks.

Keywords: infectious diseases; MaxEnt; niche modelling; zoonosis (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlvet:v:67:y:2022:i:11:id:81-2021-vetmed

DOI: 10.17221/81/2021-VETMED

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