Spatial heterogeneity of bacillary dysentery and the impact of temperature in the Beijing-Tianjin-Hebei region of China
Wang, Li2,4,5; Xu, Chengdong3,5; Xiao, Gexin1; Qiao, Jiajun2; Zhang, Chaozheng6
刊名INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
2021-05-28
页码9
关键词Bacillary dysentery Spatial risk Risk detection
ISSN号0020-7128
DOI10.1007/s00484-021-02148-3
通讯作者Xiao, Gexin(biocomputer@126.com) ; Qiao, Jiajun()
英文摘要Previous studies indicate that the incidence of bacillary dysentery is closely related to meteorological factors. However, the impact of temperature and the spatial heterogeneity of the disease in regions of unbalanced socioeconomic development remains unclear. Therefore, this research collected data for 29,639 daily bacillary dysentery cases in children under 5 years of age, as well as the meteorological variables from China's Beijing-Tianjin-Hebei region, to analyze the spatial pattern of bacillary dysentery and reveal its nonlinear association with temperature. The SatScan method was employed first, to detect the spatial heterogeneity of the disease risk, and then the distributed lag nonlinear model (DLNM) was used to analyze the relationships between the daily minimum, mean, and maximum temperatures and bacillary dysentery in the stratified heterogeneous regions. The results indicated that bacillary dysentery incidence presented statistically significant spatial heterogeneity. The area of highest risk was found to be Beijing and its neighboring regions, which have high population densities. There was also a positive association between bacillary dysentery and temperature. Hotter temperatures were accompanied by higher relative risks. In the most likely spatial cluster region, the excess risk (ER) values for a 1 degrees C rise in minimum, mean, and maximum temperatures above the median were 4.65%, 11.30%, and 19.21%, respectively. The effect of temperature on bacillary dysentery peaked at a lag of 3 to 4 days. The findings of this study will aid risk assessments and early warning systems for bacillary dysentery.
资助项目National Science Foundation of China[41901331] ; National Science Foundation of China[41971357] ; Henan Postdoctoral Science Foundation[CJ3050A0670196] ; State Key Laboratory of Resources and Environmental Information System: Innovation Project of LREIS[O88RA205YA] ; State Key Laboratory of Resources and Environmental Information System: Innovation Project of LREIS[O88RA200YA]
WOS关键词AMBIENT-TEMPERATURE ; DIARRHEA ; BURDEN ; DISEASES ; NORTHERN ; WEATHER
WOS研究方向Biophysics ; Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences ; Physiology
语种英语
出版者SPRINGER
WOS记录号WOS:000655822300001
资助机构National Science Foundation of China ; Henan Postdoctoral Science Foundation ; State Key Laboratory of Resources and Environmental Information System: Innovation Project of LREIS
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/162941]  
专题中国科学院地理科学与资源研究所
通讯作者Xiao, Gexin; Qiao, Jiajun
作者单位1.Natl Inst Hosp Adm, Beijing 100044, Peoples R China
2.Henan Univ, Coll Environm & Planning, Kaifeng 475001, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Henan Univ, Minist Educ, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475001, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
6.China Natl Ctr Food Safety Risk Assessment, Beijing 100022, Peoples R China
推荐引用方式
GB/T 7714
Wang, Li,Xu, Chengdong,Xiao, Gexin,et al. Spatial heterogeneity of bacillary dysentery and the impact of temperature in the Beijing-Tianjin-Hebei region of China[J]. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY,2021:9.
APA Wang, Li,Xu, Chengdong,Xiao, Gexin,Qiao, Jiajun,&Zhang, Chaozheng.(2021).Spatial heterogeneity of bacillary dysentery and the impact of temperature in the Beijing-Tianjin-Hebei region of China.INTERNATIONAL JOURNAL OF BIOMETEOROLOGY,9.
MLA Wang, Li,et al."Spatial heterogeneity of bacillary dysentery and the impact of temperature in the Beijing-Tianjin-Hebei region of China".INTERNATIONAL JOURNAL OF BIOMETEOROLOGY (2021):9.
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