Moderation effect of antecedent rainfall conditions on incidence of bacillary dysentery following heavy rainfall in Anhui Province

Yuchen Liu; Lei Gong; Jiabing WU; Yongkang Xiao; Li Liu; Weibin LI; Wenjun MA; Cunrui Huang; Lianping Yang

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Moderation effect of antecedent rainfall conditions on incidence of bacillary dysentery following heavy rainfall in Anhui Province

VernacularTitle:前期降水条件在安徽省极端降雨对细菌性痢疾发病影响中的调节作用
Author: Yuchen LIU ¹ ; Lei GONG ² ; Jiabing WU ² ; Yongkang XIAO ² ; Li LIU ¹ ; Weibin LI ¹ ; Wenjun MA ^{3
,

4} ; Cunrui HUANG ⁵ ; Lianping YANG ¹
Author Information

1. School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China.
2. Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui 230601, China.
3. School of Medicine, Jinan University, Guangzhou, Guangdong 510630, China
4. Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong 511430, China.
5. Vanke School of Public Health, Tsinghua University, Beijing 100084, China.
Publication Type: Specialcolumn:Mechanismsunderlyinghumanhealtheffectsofclimatechange
Keywords: bacillary dysentery; heavy rainfall; antecedent rainfall conditions; urban and rural stratification; moderation effect
From: Journal of Environmental and Occupational Medicine 2022;39(3):304-308
CountryChina
Language:Chinese
Abstract: Background Climate change leads to frequent heavy rainfall events, and higher incidences of bacillary dysentery after heavy rainfall have been observed. The impacts of heavy rainfall and its antecedent rainfall conditions on the disease are worth paying attention to. Objective To quantitatively analyze how the relationship between heavy rainfall events and bacillary dysentery occurrence is modified by antecedent rainfall conditions in Anhui Province and explore the different moderation effects in urban and rural contexts. Methods CN05.1 meteorological data of Anhui Province and cases of bacillary dysentery of the same area were collected from January 1, 2006 to August 31, 2017. An exposure-response Poisson regression model of heavy rainfall events and the number of daily cases was constructed to explore the moderation effect of antecedent rainfall conditions on the incidence of bacillary dysentery, and further stratified by urban and rural areas. Results This study included 129 459 cases of bacillary dysentery, with a daily average of 30.39. Compared with dry antecedent conditions without heavy rainfall, dry antecedent conditions with heavy rainfall had no obvious different effect on the incidence of bacillary dysentery for the whole province (P>0.05). But wet antecedent conditions significantly increased the risk of bacillary dysentery for the whole province after heavy rainfall (wet antecedent conditions without heavy rainfall: RR=1.281, 95%CI: 1.264-1.298; wet antecedent conditions with heavy rainfall: RR=1.267, 95%CI: 1.167-1.376). After urban and rural stratification, antecedent rainfall conditions also showed a significant moderation effect on the incidence of bacillary dysentery following heavy rainfall events. Compared with dry antecedent conditions without heavy rainfall, dry antecedent conditions with heavy rainfall had no obvious effect on the incidence of bacillary dysentery for the urban and the rural populations (P > 0.05). However, wet antecedent conditions without heavy rainfall (urban: RR=1.391, 95%CI: 1.362-1.421; rural: RR=1.222, 95%CI: 1.201-1.243) and wet antecedent conditions with heavy rainfall (urban: RR=1.364, 95%CI: 1.193-1.559; rural: RR=1.218, 95%CI: 1.098-1.352) significantly increased the risk of bacillary dysentery in both rural and urban areas. Conclusion In the influence of heavy rainfall on the incidence of bacillary dysentery in Anhui Province, antecedent rainfall conditions have a certain moderation effect in the whole province and in both urban and rural areas, and the risk of bacillary dysentery is increased under wet antecedent conditions.