Infuence of urbanization on schistosomiasis infection risk in Anhui Province based on sixteen year’s longitudinal surveillance data:a spatio-temporal modelling study
作者机构：College of Geodesy and Geomatics Shandong University of Science and Technology Qingdao China No. 8 Institute of Geology and Mineral Resources Exploration of Shandong Province Rizhao China School of Public Health Fudan University Shanghai China Key Laboratory of Public Health Safety Ministry of Education Shanghai China Ingerod Brastad Sweden Anhui Institute of Schistosomiasis Control Hefei China
出 版 物：《Infectious Diseases of Poverty》 (贫困所致传染病（英文）)
年 卷 期：2023年第12卷第6期
页 面：99-100页
核心收录：
学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学]
基 金：supported by the National Natural Science Foundation of China(81973102) Autonomous and Controllable Special Project for Surveying and Mapping of China(Grant No.816-517)
主 题：Urbanization Night-time light data Schistosomiasis Spatio-temporal analysis Geographically and temporally weighted regression
摘 要：Background Urbanization greatly afects the natural and social environment of human existence and may have a multifactoral impact on parasitic ***,a common parasitic disease transmitted by the snail Oncomelania hupensis,is mainly found in areas with population aggregations along rivers and lakes where snails *** studies have suggested that factors related to urbanization may infuence the infection risk of schistosomiasis,but this association remains *** study aimed to analyse the efect of urbanization on schistosomiasis infection risk from a spatial and temporal perspective in the endemic areas along the Yangtze River Basin in *** County-level schistosomiasis surveillance data and natural environmental factor data covering the whole Anhui Province were *** urbanization level was characterized based on night-time light data from the Defense Meteorological Satellite Program Operational Linescan System(DMSP-OLS)and the National Polar-Orbiting Partnership’s Visible Infrared Imaging Radiometer Suite(NPP-VIIRS).The geographically and temporally weighted regression model(GTWR)was used to quantify the infuence of urbanization on schistosomiasis infection risk with the other potential risk factors *** regression coefcient of urbanization was tested for signifcance(α=0.05),and the infuence of urbanization on schistosomiasis infection risk was analysed over time and across space based on signifcant regression *** studied included climate,soil,vegetation,hydrology and *** The mean regression coefcient for urbanization(0.167)is second only to the leached soil area(0.300),which shows that the urbanization is the most important infuence factors for schistosomiasis infection risk besides leached soil *** other important variables are distance to the nearest water source(0.165),mean minimum temperature(0.130),broadleaf forest area(0.105),amount of precipitation(0.073),surface t
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