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Mapping Plague Risk Using Super Species Distribution Models and Forecasts for Rodents in the Zhambyl Region, Kazakhstan

One of the most extensive natural plague centers, or foci, is located in Central Asia, in particular, the Zhambyl region in Southern Kazakhstan. Here, we conducted plague surveillance from 2000 to 2020 in the Zhambyl region in Kazakhstan and confirmed 3,072 cases of infected wild animals. We used Sp...

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Autores principales: Rametov, N. M., Steiner, M., Bizhanova, N. A., Abdel, Z. Zh., Yessimseit, D. T., Abdeliyev, B. Z., Mussagalieva, R. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641984/
https://www.ncbi.nlm.nih.gov/pubmed/37965638
http://dx.doi.org/10.1029/2023GH000853
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author Rametov, N. M.
Steiner, M.
Bizhanova, N. A.
Abdel, Z. Zh.
Yessimseit, D. T.
Abdeliyev, B. Z.
Mussagalieva, R. S.
author_facet Rametov, N. M.
Steiner, M.
Bizhanova, N. A.
Abdel, Z. Zh.
Yessimseit, D. T.
Abdeliyev, B. Z.
Mussagalieva, R. S.
author_sort Rametov, N. M.
collection PubMed
description One of the most extensive natural plague centers, or foci, is located in Central Asia, in particular, the Zhambyl region in Southern Kazakhstan. Here, we conducted plague surveillance from 2000 to 2020 in the Zhambyl region in Kazakhstan and confirmed 3,072 cases of infected wild animals. We used Species Distribution Modeling by employing MaxEnt, and identified that the natural plague foci are primarily located in the Moiynqum, Betpaqdala, and Tauqum Deserts. The Zhambyl region's central part, including the Moiynqum and Sarysu districts, has a high potential risk of plague outbreak for the rural towns and villages. Since the phenomenon of climate change has been identified as a determinant that affects the rodent populations, thereby elevating the likelihood of an outbreak of plague, we investigated the potential dissemination routes of the disease under the changing climate conditions, thus creating Species Distribution Forecasts for the rodent species in southern part of Kazakhstan for the year 2100. By 2100, in case of increasing temperatures, the range of host species is likely to expand, leading to a higher risk of plague outbreaks. The highest risk of disease transmission can be expected at the outer limits of the modeled total distribution range, where infection rates are high, but antibody presence is low, making many species susceptible to the pathogen. To mitigate the risk of a potential plague outbreak, it is necessary to implement appropriate sanitary‐epidemiological measures and climate mitigation policies.
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spelling pubmed-106419842023-11-14 Mapping Plague Risk Using Super Species Distribution Models and Forecasts for Rodents in the Zhambyl Region, Kazakhstan Rametov, N. M. Steiner, M. Bizhanova, N. A. Abdel, Z. Zh. Yessimseit, D. T. Abdeliyev, B. Z. Mussagalieva, R. S. Geohealth Research Article One of the most extensive natural plague centers, or foci, is located in Central Asia, in particular, the Zhambyl region in Southern Kazakhstan. Here, we conducted plague surveillance from 2000 to 2020 in the Zhambyl region in Kazakhstan and confirmed 3,072 cases of infected wild animals. We used Species Distribution Modeling by employing MaxEnt, and identified that the natural plague foci are primarily located in the Moiynqum, Betpaqdala, and Tauqum Deserts. The Zhambyl region's central part, including the Moiynqum and Sarysu districts, has a high potential risk of plague outbreak for the rural towns and villages. Since the phenomenon of climate change has been identified as a determinant that affects the rodent populations, thereby elevating the likelihood of an outbreak of plague, we investigated the potential dissemination routes of the disease under the changing climate conditions, thus creating Species Distribution Forecasts for the rodent species in southern part of Kazakhstan for the year 2100. By 2100, in case of increasing temperatures, the range of host species is likely to expand, leading to a higher risk of plague outbreaks. The highest risk of disease transmission can be expected at the outer limits of the modeled total distribution range, where infection rates are high, but antibody presence is low, making many species susceptible to the pathogen. To mitigate the risk of a potential plague outbreak, it is necessary to implement appropriate sanitary‐epidemiological measures and climate mitigation policies. John Wiley and Sons Inc. 2023-11-13 /pmc/articles/PMC10641984/ /pubmed/37965638 http://dx.doi.org/10.1029/2023GH000853 Text en © 2023 The Authors. GeoHealth published by Wiley Periodicals LLC on behalf of American Geophysical Union. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rametov, N. M.
Steiner, M.
Bizhanova, N. A.
Abdel, Z. Zh.
Yessimseit, D. T.
Abdeliyev, B. Z.
Mussagalieva, R. S.
Mapping Plague Risk Using Super Species Distribution Models and Forecasts for Rodents in the Zhambyl Region, Kazakhstan
title Mapping Plague Risk Using Super Species Distribution Models and Forecasts for Rodents in the Zhambyl Region, Kazakhstan
title_full Mapping Plague Risk Using Super Species Distribution Models and Forecasts for Rodents in the Zhambyl Region, Kazakhstan
title_fullStr Mapping Plague Risk Using Super Species Distribution Models and Forecasts for Rodents in the Zhambyl Region, Kazakhstan
title_full_unstemmed Mapping Plague Risk Using Super Species Distribution Models and Forecasts for Rodents in the Zhambyl Region, Kazakhstan
title_short Mapping Plague Risk Using Super Species Distribution Models and Forecasts for Rodents in the Zhambyl Region, Kazakhstan
title_sort mapping plague risk using super species distribution models and forecasts for rodents in the zhambyl region, kazakhstan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641984/
https://www.ncbi.nlm.nih.gov/pubmed/37965638
http://dx.doi.org/10.1029/2023GH000853
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