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...
Published in: | Pathogens |
---|---|
Main Authors: | , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2020
|
Subjects: | |
Online Access: | https://doi.org/10.3390/pathogens9060504 |
id |
ftmdpi:oai:mdpi.com:/2076-0817/9/6/504/ |
---|---|
record_format |
openpolar |
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 |
container_volume |
9 |
container_issue |
6 |
container_start_page |
504 |
_version_ |
1774722405431771136 |