globalchange  > 过去全球变化的重建
DOI: 10.1016/j.envint.2019.03.063
WOS记录号: WOS:000467383500077
论文题名:
The impact of the 2016 flood event in Anhui Province, China on infectious diarrhea disease: An interrupted time-series study
作者: Zhang, Na1; Song, Dandan2; Zhang, Jin2; Liao, Wenmin1; Miao, Kaichao3; Zhong, Shuang4; Lin, Shao5; Hajat, Shakoor6; Yang, Lianping1; Huang, Cunrui1
通讯作者: Yang, Lianping ; Huang, Cunrui
刊名: ENVIRONMENT INTERNATIONAL
ISSN: 0160-4120
EISSN: 1873-6750
出版年: 2019
卷: 127, 页码:801-809
语种: 英语
英文关键词: Floods ; Climate change ; Infectious diarrhea ; Interrupted time series ; China
WOS关键词: BACILLARY DYSENTERY ; HEALTH ; BURDEN ; WATER ; VULNERABILITY ; ASSOCIATION ; DHAKA ; HUNAN ; RISK
WOS学科分类: Environmental Sciences
WOS研究方向: Environmental Sciences & Ecology
英文摘要:

Climate change may bring more frequent and severe floods which will heighten public health problems, including an increased risk of infectious diarrhea in susceptible populations. Affected by heavy rainfall and an El Nino event, a destructive flood occurred in Anhui province, China on 18th June 2016. This study investigates the impact of this severe flood on infectious diarrhea at both city-level and provincial level, and further to identify modifying factor. We obtained information on infectious diarrheal cases during 2013-2017 from the National Disease Surveillance System. An interrupted time-series design was used to estimate effects of the flood event on diarrhea in 16 cities. Then we applied a meta-analysis to estimate the area-level pooled effects of the flood in both flooded areas and non-flooded areas. Finally, a meta-regression was applied to determine whether proximity to flood was a predictor of city-level risks. Stratified analyses by gender and age group were also conducted for flooded areas. A significant increase in infectious diarrhea risk (RR = 1.11, 95% CI: 1.01, 1.23) after the flood event was found in flooded area with variation in risks across cities, while there was no increase in non-flooded areas. Diarrheal risks post-flood was progressively higher in cities with greater proximity to the Yangtze River. Children aged 5-14 were at highest risk of diarrhea post-flood in the flooded areas. Our study provides strong evidence that the 2016 severe flood significantly increased infectious diarrheal risk in exposed populations. Local public health agencies are advised to develop intervention programs to prevent and control infectious diarrhea risk when a major flood occurs, especially in areas close to water bodies and among vulnerable populations.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/139842
Appears in Collections:过去全球变化的重建

Files in This Item:

There are no files associated with this item.


作者单位: 1.Sun Yat Sen Univ, Sch Publ Hlth, 74 Zhongshan 2nd Rd, Guangzhou, Guangdong 510080, Peoples R China
2.Anhui Prov Ctr Dis Control & Prevent, Hefei, Anhui, Peoples R China
3.Publ Meteorol Serv Ctr Anhui Prov, Hefei, Anhui, Peoples R China
4.Sun Yat Sen Univ, Sch Govt, Guangzhou, Guangdong, Peoples R China
5.SUNY Albany, Sch Publ Hlth, Albany, NY 12222 USA
6.London Sch Hyg & Trop Med, Dept Publ Hlth Environm & Soc, London, England

Recommended Citation:
Zhang, Na,Song, Dandan,Zhang, Jin,et al. The impact of the 2016 flood event in Anhui Province, China on infectious diarrhea disease: An interrupted time-series study[J]. ENVIRONMENT INTERNATIONAL,2019-01-01,127:801-809
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhang, Na]'s Articles
[Song, Dandan]'s Articles
[Zhang, Jin]'s Articles
百度学术
Similar articles in Baidu Scholar
[Zhang, Na]'s Articles
[Song, Dandan]'s Articles
[Zhang, Jin]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhang, Na]‘s Articles
[Song, Dandan]‘s Articles
[Zhang, Jin]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.