title: Spatiotemporal heterogeneity analysis of hemorrhagic fever with renal syndrome in China using geographically weighted regression models.
abstract: 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.
authors.affiliation: State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China. lishujuan711@126.com.
authors.forename: Shujuan
authors.initials: S
authors.lastname: Li
authors.affiliation: State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China. renhy@igsnrr.ac.cn.
authors.forename: Hongyan
authors.initials: H
authors.lastname: Ren
authors.affiliation: Center for Health Statistics and Information, National Health and Family Planning Commission, No.38 Beilishi Road, Xicheng District, Beijing 100044, China. huws@moh.gov.cn.
authors.forename: Wensheng
authors.initials: W
authors.lastname: Hu
authors.affiliation: State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, 5 Changbai Road, Changping, Beijing 102206, China. luliang@icdc.cn.
authors.forename: Liang
authors.initials: L
authors.lastname: Lu
authors.affiliation: State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China. xuxl@lreis.ac.cn.
authors.forename: Xinliang
authors.initials: X
authors.lastname: Xu
authors.affiliation: State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China. zhuangdf@lreis.ac.cn.
authors.forename: Dafang
authors.initials: D
authors.lastname: Zhuang
authors.affiliation: State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, 5 Changbai Road, Changping, Beijing 102206, China. liuqiyong@icdc.cn.
authors.forename: Qiyong
authors.initials: Q
authors.lastname: Liu
mesh_terms: D002681:China / Q000453:epidemiology; D006480:Hemorrhagic Fever with Renal Syndrome / Q000453:epidemiology*; D006801:Humans; D016014:Linear Models; D008954:Models, Biological; D012984:Software; D013997:Time Factors