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Geographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern China

Tick-borne encephalitis (TBE) is one of natural foci diseases transmitted by ticks. Its distribution and transmission are closely related to geographic and environmental factors. Identification of environmental determinates of TBE is of great importance to understanding the general distribution of e...

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Autores principales: Li, Yifan, Wang, Juanle, Gao, Mengxu, Fang, Liqun, Liu, Changhua, Lyu, Xin, Bai, Yongqing, Zhao, Qiang, Li, Hairong, Yu, Hongjie, Cao, Wuchun, Feng, Liqiang, Wang, Yanjun, Zhang, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486255/
https://www.ncbi.nlm.nih.gov/pubmed/28587151
http://dx.doi.org/10.3390/ijerph14060569
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author Li, Yifan
Wang, Juanle
Gao, Mengxu
Fang, Liqun
Liu, Changhua
Lyu, Xin
Bai, Yongqing
Zhao, Qiang
Li, Hairong
Yu, Hongjie
Cao, Wuchun
Feng, Liqiang
Wang, Yanjun
Zhang, Bin
author_facet Li, Yifan
Wang, Juanle
Gao, Mengxu
Fang, Liqun
Liu, Changhua
Lyu, Xin
Bai, Yongqing
Zhao, Qiang
Li, Hairong
Yu, Hongjie
Cao, Wuchun
Feng, Liqiang
Wang, Yanjun
Zhang, Bin
author_sort Li, Yifan
collection PubMed
description Tick-borne encephalitis (TBE) is one of natural foci diseases transmitted by ticks. Its distribution and transmission are closely related to geographic and environmental factors. Identification of environmental determinates of TBE is of great importance to understanding the general distribution of existing and potential TBE natural foci. Hulunbuir, one of the most severe endemic areas of the disease, is selected as the study area. Statistical analysis, global and local spatial autocorrelation analysis, and regression methods were applied to detect the spatiotemporal characteristics, compare the impact degree of associated factors, and model the risk distribution using the heterogeneity. The statistical analysis of gridded geographic and environmental factors and TBE incidence show that the TBE patients mainly occurred during spring and summer and that there is a significant positive spatial autocorrelation between the distribution of TBE cases and environmental characteristics. The impact degree of these factors on TBE risks has the following descending order: temperature, relative humidity, vegetation coverage, precipitation and topography. A high-risk area with a triangle shape was determined in the central part of Hulunbuir; the low-risk area is located in the two belts next to the outside edge of the central triangle. The TBE risk distribution revealed that the impact of the geographic factors changed depending on the heterogeneity.
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spelling pubmed-54862552017-06-30 Geographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern China Li, Yifan Wang, Juanle Gao, Mengxu Fang, Liqun Liu, Changhua Lyu, Xin Bai, Yongqing Zhao, Qiang Li, Hairong Yu, Hongjie Cao, Wuchun Feng, Liqiang Wang, Yanjun Zhang, Bin Int J Environ Res Public Health Article Tick-borne encephalitis (TBE) is one of natural foci diseases transmitted by ticks. Its distribution and transmission are closely related to geographic and environmental factors. Identification of environmental determinates of TBE is of great importance to understanding the general distribution of existing and potential TBE natural foci. Hulunbuir, one of the most severe endemic areas of the disease, is selected as the study area. Statistical analysis, global and local spatial autocorrelation analysis, and regression methods were applied to detect the spatiotemporal characteristics, compare the impact degree of associated factors, and model the risk distribution using the heterogeneity. The statistical analysis of gridded geographic and environmental factors and TBE incidence show that the TBE patients mainly occurred during spring and summer and that there is a significant positive spatial autocorrelation between the distribution of TBE cases and environmental characteristics. The impact degree of these factors on TBE risks has the following descending order: temperature, relative humidity, vegetation coverage, precipitation and topography. A high-risk area with a triangle shape was determined in the central part of Hulunbuir; the low-risk area is located in the two belts next to the outside edge of the central triangle. The TBE risk distribution revealed that the impact of the geographic factors changed depending on the heterogeneity. MDPI 2017-05-26 2017-06 /pmc/articles/PMC5486255/ /pubmed/28587151 http://dx.doi.org/10.3390/ijerph14060569 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Yifan
Wang, Juanle
Gao, Mengxu
Fang, Liqun
Liu, Changhua
Lyu, Xin
Bai, Yongqing
Zhao, Qiang
Li, Hairong
Yu, Hongjie
Cao, Wuchun
Feng, Liqiang
Wang, Yanjun
Zhang, Bin
Geographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern China
title Geographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern China
title_full Geographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern China
title_fullStr Geographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern China
title_full_unstemmed Geographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern China
title_short Geographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern China
title_sort geographical environment factors and risk assessment of tick-borne encephalitis in hulunbuir, northeastern china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486255/
https://www.ncbi.nlm.nih.gov/pubmed/28587151
http://dx.doi.org/10.3390/ijerph14060569
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