Geographically and Temporally Weighted Regression in Assessing Dengue Fever Spread Factors in Yunnan Border Regions  

作　　者：ZHU Xiao Xiang WANG Song Wang LI Yan Fei ZHANG Ye Wu SU Xue Mei ZHAO Xiao Tao 

机构地区：[1]National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases,Chinese Center for Disease Control and Prevention,Beijing 102211,China [2]Yunnan Institute of Parasitic Diseases,Pu’er 665000,Yunnan,China

出　　处：《Biomedical and Environmental Sciences》2024年第5期511-520,共10页生物医学与环境科学（英文版）

基　　金：supported by National Science and Technology Infrastructure Platform National Population and Health Science Data Sharing Service Platform Public Health Science Data Center[NCMI-ZB01N-201905]。

摘　　要：Objective This study employs the Geographically and Temporally Weighted Regression(GTWR)model to assess the impact of meteorological elements and imported cases on dengue fever outbreaks,emphasizing the spatial-temporal variability of these factors in border regions.Methods We conducted a descriptive analysis of dengue fever’s temporal-spatial distribution in Yunnan border areas.Utilizing annual data from 2013 to 2019,with each county in the Yunnan border serving as a spatial unit,we constructed a GTWR model to investigate the determinants of dengue fever and their spatio-temporal heterogeneity in this region.Results The GTWR model,proving more effective than Ordinary Least Squares(OLS)analysis,identified significant spatial and temporal heterogeneity in factors influencing dengue fever’s spread along the Yunnan border.Notably,the GTWR model revealed a substantial variation in the relationship between indigenous dengue fever incidence,meteorological variables,and imported cases across different counties.Conclusion In the Yunnan border areas,local dengue incidence is affected by temperature,humidity,precipitation,wind speed,and imported cases,with these factors’influence exhibiting notable spatial and temporal variation.

关 键 词：Dengue fever Meteorological factor Geographically and temporally weighted regression 

分 类 号：R512.8[医药卫生—内科学] R181.3[医药卫生—临床医学]