Effect and attributable burden of hot extremes on bacillary dysentery in 31 Chinese provincial capital cities

被引:10
作者
Ai, Siqi [1 ]
Zhou, Haijian [2 ]
Wang, Changke [3 ]
Qian, Zhengmin [4 ]
McMillin, Stephen Edward [5 ]
Huang, Cunrui [6 ]
Zhang, Tuantuan [7 ,8 ]
Xu, Lianlian [7 ,8 ]
Li, Zhenjun [2 ]
Lin, Hualiang [1 ]
机构
[1] Sun Yat Sen Univ, Sch Publ Hlth, Dept Epidemiol, Guangzhou 510080, Peoples R China
[2] Chinese Ctr Dis Control & Prevent, Natl Inst Communicable Dis Control & Prevent, State Key Lab Infect Dis Prevent & Control, Beijing 102200, Peoples R China
[3] China Meteorol Adm, Natl Climate Ctr, Beijing 100089, Peoples R China
[4] St Louis Univ, Dept Epidemiol & Biostat, Coll Publ Hlth & Social Justice, 3545 Lafayette Ave, St Louis, MO 63104 USA
[5] St Louis Univ, Sch Social Work, Coll Publ Hlth & Social Justice, Tegeler Hall,3550 Lindell Blvd, St Louis, MO 63103 USA
[6] Tsinghua Univ, Vanke Sch Publ Hlth, Beijing 100084, Peoples R China
[7] Sun Yat Sen Univ, Sch Atmospher Sci, Southern Lab Ocean Sci & Engn, Zhuhai 519082, Guangdong, Peoples R China
[8] Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disas, Zhuhai 519082, Guangdong, Peoples R China
基金
国家重点研发计划;
关键词
Hot extremes; Bacillary dysentery; Distributed lag non-linear model; AMBIENT-TEMPERATURE; CLIMATE VARIABILITY; DIARRHEAL DISEASES; GLOBAL BURDEN; IMPACTS; SLEEP; ASSOCIATION; ADAPTATION; MORBIDITY; MORTALITY;
D O I
10.1016/j.scitotenv.2022.155028
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: High atmospheric temperature has been associated with the occurrence of bacillary dysentery (BD). Recent studies have suggested that hot extremes may influence health outcomes, however, none have examined the association between hot extremes and BD risk, especially at the national level.Objectives: To assess the effect and attributable burden of hot extremes on BD cases and to identify populations at high risk of BD.Methods: Daily incident BD data of 31 provincial capital cities from 2010 to 2018 were collected from the Chinese Center for Disease Control and Prevention, weather data was obtained from the fifth generation of the European Re Analysis Dataset. Three types of hot extremes, including hot day, hot night, and hot day and night, were defined according to single or sequential occurrence of daytime hot and nighttime hot within 24 h. A two-stage analytical strategy combined with distributed lag non-linear models (DLNM) was used to evaluate city-specific associations and national pooled estimates. Results: Hot extremes were significantly associated with the risk of BD on lagged 1-6 days. The overall cumulative relative risk (RR) was 1.136 [95% confidence interval (CI): 1.022, 1.263] for hot day, 1.181 (95% CI: 1.019, 1.369) for hot night, and 1.154 (95% CI: 1.038, 1.283) for hot day and night. Northern residents, females, and children younger than or equal to 14 years old were vulnerable under hot night, southern residents were vulnerable under hot day, and males were vulnerable under hot day and night. 1.854% (95% CI: 1.294%, 2.205%) of BD cases can be attributable to hot extremes, among which, hot night accounted for a large proportion.Conclusions: Hot extremes may significantly increase the incidence risk and disease burden of BD. Type-specific protective measures should be taken to reduce the risk of BD, especially in those we found to be particularly vulnerable.
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页数:8
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