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Spatiotemporal Heterogeneity Analysis of Hemorrhagic Fever with Renal Syndrome in China Using Geographically Weighted Regression Models

Hemorrhagic fever with renal syndrome (HFRS) is an important public health problem in China. The identification of the spatiotemporal pattern of HFRS will provide a foundation for the effective control of the disease. Based on the incidence of HFRS, as well as environmental factors, and social-econo...

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Autores principales: Li, Shujuan, Ren, Hongyan, Hu, Wensheng, Lu, Liang, Xu, Xinliang, Zhuang, Dafang, Liu, Qiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4276605/
https://www.ncbi.nlm.nih.gov/pubmed/25429681
http://dx.doi.org/10.3390/ijerph111212129
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author Li, Shujuan
Ren, Hongyan
Hu, Wensheng
Lu, Liang
Xu, Xinliang
Zhuang, Dafang
Liu, Qiyong
author_facet Li, Shujuan
Ren, Hongyan
Hu, Wensheng
Lu, Liang
Xu, Xinliang
Zhuang, Dafang
Liu, Qiyong
author_sort Li, Shujuan
collection PubMed
description Hemorrhagic fever with renal syndrome (HFRS) is an important public health problem in China. The identification of the spatiotemporal pattern of HFRS will provide a foundation for the effective control of the disease. Based on the incidence of HFRS, as well as environmental factors, and social-economic factors of China from 2005–2012, this paper identified the spatiotemporal characteristics of HFRS distribution and the factors that impact this distribution. The results indicate that the spatial distribution of HFRS had a significant, positive spatial correlation. The spatiotemporal heterogeneity was affected by the temperature, precipitation, humidity, NDVI of January, NDVI of August for the previous year, land use, and elevation in 2005–2009. However, these factors did not explain the spatiotemporal heterogeneity of HFRS incidences in 2010–2012. Spatiotemporal heterogeneity of provincial HFRS incidences and its relation to environmental factors would provide valuable information for hygiene authorities to design and implement effective measures for the prevention and control of HFRS in China.
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spelling pubmed-42766052015-01-08 Spatiotemporal Heterogeneity Analysis of Hemorrhagic Fever with Renal Syndrome in China Using Geographically Weighted Regression Models Li, Shujuan Ren, Hongyan Hu, Wensheng Lu, Liang Xu, Xinliang Zhuang, Dafang Liu, Qiyong Int J Environ Res Public Health Article Hemorrhagic fever with renal syndrome (HFRS) is an important public health problem in China. The identification of the spatiotemporal pattern of HFRS will provide a foundation for the effective control of the disease. Based on the incidence of HFRS, as well as environmental factors, and social-economic factors of China from 2005–2012, this paper identified the spatiotemporal characteristics of HFRS distribution and the factors that impact this distribution. The results indicate that the spatial distribution of HFRS had a significant, positive spatial correlation. The spatiotemporal heterogeneity was affected by the temperature, precipitation, humidity, NDVI of January, NDVI of August for the previous year, land use, and elevation in 2005–2009. However, these factors did not explain the spatiotemporal heterogeneity of HFRS incidences in 2010–2012. Spatiotemporal heterogeneity of provincial HFRS incidences and its relation to environmental factors would provide valuable information for hygiene authorities to design and implement effective measures for the prevention and control of HFRS in China. MDPI 2014-11-25 2014-12 /pmc/articles/PMC4276605/ /pubmed/25429681 http://dx.doi.org/10.3390/ijerph111212129 Text en © 2014 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 license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Shujuan
Ren, Hongyan
Hu, Wensheng
Lu, Liang
Xu, Xinliang
Zhuang, Dafang
Liu, Qiyong
Spatiotemporal Heterogeneity Analysis of Hemorrhagic Fever with Renal Syndrome in China Using Geographically Weighted Regression Models
title Spatiotemporal Heterogeneity Analysis of Hemorrhagic Fever with Renal Syndrome in China Using Geographically Weighted Regression Models
title_full Spatiotemporal Heterogeneity Analysis of Hemorrhagic Fever with Renal Syndrome in China Using Geographically Weighted Regression Models
title_fullStr Spatiotemporal Heterogeneity Analysis of Hemorrhagic Fever with Renal Syndrome in China Using Geographically Weighted Regression Models
title_full_unstemmed Spatiotemporal Heterogeneity Analysis of Hemorrhagic Fever with Renal Syndrome in China Using Geographically Weighted Regression Models
title_short Spatiotemporal Heterogeneity Analysis of Hemorrhagic Fever with Renal Syndrome in China Using Geographically Weighted Regression Models
title_sort spatiotemporal heterogeneity analysis of hemorrhagic fever with renal syndrome in china using geographically weighted regression models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4276605/
https://www.ncbi.nlm.nih.gov/pubmed/25429681
http://dx.doi.org/10.3390/ijerph111212129
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