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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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. |
format | Online Article Text |
id | pubmed-5486255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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