Environmental Risk of Leptospirosis in Animals: The Case of the Republic of Sakha (Yakutia), Russian Federation

Leptospirosis is a zoonotic natural focal disease caused by the pathogenic bacteria Leptospira. Its spread is related to certain ecological factors. The aim of the current research was to assess potential exposure to the infection as a function of environmental determinants in the Republic of Sakha...

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Published in:Pathogens
Main Authors: Olga I. Zakharova, Fedor I. Korennoy, Nadezhda N. Toropova, Olga A. Burova, Andrey A. Blokhin
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/pathogens9060504
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spelling ftmdpi:oai:mdpi.com:/2076-0817/9/6/504/ 2023-08-20T04:09:27+02:00 Environmental Risk of Leptospirosis in Animals: The Case of the Republic of Sakha (Yakutia), Russian Federation Olga I. Zakharova Fedor I. Korennoy Nadezhda N. Toropova Olga A. Burova Andrey A. Blokhin agris 2020-06-23 application/pdf https://doi.org/10.3390/pathogens9060504 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/pathogens9060504 https://creativecommons.org/licenses/by/4.0/ Pathogens; Volume 9; Issue 6; Pages: 504 leptospirosis MaxEnt risk map Republic of Sakha (Yakutia) climate change Text 2020 ftmdpi https://doi.org/10.3390/pathogens9060504 2023-07-31T23:40:41Z Leptospirosis is a zoonotic natural focal disease caused by the pathogenic bacteria Leptospira. Its spread is related to certain ecological factors. The aim of the current research was to assess potential exposure to the infection as a function of environmental determinants in the Republic of Sakha (Yakutia), Russian Federation. We applied environmental niche modeling using leptospirosis cases in livestock and wild animals in 1995–2019 with regard to a set of landscape, climatic, and socioeconomic variables, both for the current climate and for the projected climate for 2041–2060. The MaxEnt model performed well (AUC = 0.930), with the mean temperature of the warmest quarter, mean diurnal range, land cover type, and altitude being the most contributing variables. Consequent zoning based on the proportion of high-risk cells within each administrative unit suggested that five out of the 36 districts of the Republic are at high risk in the current climate conditions, with three more districts expected to demonstrate a high risk by 2060. This study presents the first-ever attempt at leptospirosis ecological modeling in Russia. Its results correspond well to the findings of other authors and underline the importance of considering ecological factors when conducting a leptospirosis risk assessment. Text Republic of Sakha Yakutia MDPI Open Access Publishing Sakha Pathogens 9 6 504
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic leptospirosis
MaxEnt
risk map
Republic of Sakha (Yakutia)
climate change
spellingShingle leptospirosis
MaxEnt
risk map
Republic of Sakha (Yakutia)
climate change
Olga I. Zakharova
Fedor I. Korennoy
Nadezhda N. Toropova
Olga A. Burova
Andrey A. Blokhin
Environmental Risk of Leptospirosis in Animals: The Case of the Republic of Sakha (Yakutia), Russian Federation
topic_facet leptospirosis
MaxEnt
risk map
Republic of Sakha (Yakutia)
climate change
description Leptospirosis is a zoonotic natural focal disease caused by the pathogenic bacteria Leptospira. Its spread is related to certain ecological factors. The aim of the current research was to assess potential exposure to the infection as a function of environmental determinants in the Republic of Sakha (Yakutia), Russian Federation. We applied environmental niche modeling using leptospirosis cases in livestock and wild animals in 1995–2019 with regard to a set of landscape, climatic, and socioeconomic variables, both for the current climate and for the projected climate for 2041–2060. The MaxEnt model performed well (AUC = 0.930), with the mean temperature of the warmest quarter, mean diurnal range, land cover type, and altitude being the most contributing variables. Consequent zoning based on the proportion of high-risk cells within each administrative unit suggested that five out of the 36 districts of the Republic are at high risk in the current climate conditions, with three more districts expected to demonstrate a high risk by 2060. This study presents the first-ever attempt at leptospirosis ecological modeling in Russia. Its results correspond well to the findings of other authors and underline the importance of considering ecological factors when conducting a leptospirosis risk assessment.
format Text
author Olga I. Zakharova
Fedor I. Korennoy
Nadezhda N. Toropova
Olga A. Burova
Andrey A. Blokhin
author_facet Olga I. Zakharova
Fedor I. Korennoy
Nadezhda N. Toropova
Olga A. Burova
Andrey A. Blokhin
author_sort Olga I. Zakharova
title Environmental Risk of Leptospirosis in Animals: The Case of the Republic of Sakha (Yakutia), Russian Federation
title_short Environmental Risk of Leptospirosis in Animals: The Case of the Republic of Sakha (Yakutia), Russian Federation
title_full Environmental Risk of Leptospirosis in Animals: The Case of the Republic of Sakha (Yakutia), Russian Federation
title_fullStr Environmental Risk of Leptospirosis in Animals: The Case of the Republic of Sakha (Yakutia), Russian Federation
title_full_unstemmed Environmental Risk of Leptospirosis in Animals: The Case of the Republic of Sakha (Yakutia), Russian Federation
title_sort environmental risk of leptospirosis in animals: the case of the republic of sakha (yakutia), russian federation
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/pathogens9060504
op_coverage agris
geographic Sakha
geographic_facet Sakha
genre Republic of Sakha
Yakutia
genre_facet Republic of Sakha
Yakutia
op_source Pathogens; Volume 9; Issue 6; Pages: 504
op_relation https://dx.doi.org/10.3390/pathogens9060504
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/pathogens9060504
container_title Pathogens
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