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

Author

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  • TE Arotolu

    (Center of Conservation Medicine & Ecological Safety, Northeast Forestry University, Harbin, Heilongjiang Province, P.R. China
    Key Laboratory of Wildlife Diseases and Biosecurity Management, Harbin, Heilongjiang Province, P.R. China
    College of Wildlife and Protected Area, Northeast Forestry University, Harbin, Heilongjiang Province, P.R. China)

  • HN Wang

    (School of Geography and Tourism, Harbin University, Harbin, Heilongjiang Province, P.R. China)

  • JN Lv

    (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)

  • LY Huang

    (Changbai Mountain Academy of Sciences, Antu, Jilin Province, P.R. China)

  • XL Wang

    (Center of Conservation Medicine & Ecological Safety, Northeast Forestry University, Harbin, Heilongjiang Province, P.R. China
    Key Laboratory of Wildlife Diseases and Biosecurity Management, Harbin, Heilongjiang Province, P.R. China
    College of Wildlife and Protected Area, Northeast Forestry University, Harbin, Heilongjiang Province, P.R. China)

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.

Suggested Citation

  • TE Arotolu & HN Wang & JN Lv & S Kun & LY Huang & XL Wang, 2022. "Environmental suitability of Yersinia pestis and the spatial dynamics of plague in the Qinghai Lake region, China," Veterinární medicína, Czech Academy of Agricultural Sciences, vol. 67(11), pages 569-578.
    • Handle: RePEc:caa:jnlvet:v:67:y:2022:i:11:id:81-2021-vetmed
    DOI: 10.17221/81/2021-VETMED
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    References listed on IDEAS

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    1. Jian Gong & Jingye Li & Jianxin Yang & Shicheng Li & Wenwu Tang, 2017. "Land Use and Land Cover Change in the Qinghai Lake Region of the Tibetan Plateau and Its Impact on Ecosystem Services," IJERPH, MDPI, vol. 14(7), pages 1-21, July.
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