标题:Lag effect and influencing factors of temperature on other infectious diarrhea in zhejiang province
作者:Wang H.; Liu Z.; Lao J.; Zhao Z.; Jiang B.
作者机构:[Wang, H] Department of Epidemiology, School Oj Public Health, Shandong University, Jinan, 250012, China;[ Liu, Z] Department of Epidemiology, School 更多
通讯作者:Jiang, B(bjiang@sdu.edu.cn)
通讯作者地址:[Jiang, B] Department of Epidemiology, School Oj Public Health, Shandong UniversityChina;
来源:Chinese Journal of Endemiology
出版年:2019
卷:40
期:8
页码:960-964
DOI:10.3760/cma.j.issn.0254-6450.2019.08.016
关键词:Other infectious diarrhea; Temperature; Two-stage model
摘要:Objective To study the lag effect of temperature and the source of heterogeneity on other infectious diarrhea (OID) in Zhejiang province, so as to identify related vulnerable populations at risk. Methods Data on OID and meteorology in Zhejiang province from 2014 to 2016 were collected. A two-stage model was conducted, including: 1) using the distributed lag non-linear model to estimate the city-specific lag effect of temperature on OID, 2) applying the multivariate Meta-analysis to pool the estimated city-specific effect, 3) using the multivariate Meta-regression to explore the sources of heterogeneity. Results There were 301 593 cases of OID in Zhejiang province during the study period. At the provincial level, temperature that corresponding to the lowest risk of OID was 16.7 °C, and the temperature corresponding to the highest risk was 6.2°C (RR-2.298, 95%CI: 1.527-3.459). 16.7 °C was recognized as the reference temperature. P5 and P95 of the average daily temperature represented low and high temperature respectively. When the temperature was cold, the risk was delayed by 2 days, with the highest risk found on the 5,h day (RR= 1.057, 95%CI: 1.030-1.084) before decreasing to the 23rd day. When the temperature got hot, the risk of OID occurred on the first day (RR-1.081, 95%CI: 1.045-1.118) and gradually decreasing to the 8th day. Differences on heterogeneous sources related to the risks of OID in different regions, presented on urban latitude and the rate of ageing in the population. Conclusions Both high or low temperature could increase the risk of OID, with a lag effect noticed. Prevention program on OID should be focusing on populations living in the high latitude and the elderly population at the low temperature areas. © 2019 Chinese Medical Association. All rights reserved.
收录类别:SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072025282&doi=10.3760%2fcma.j.issn.0254-6450.2019.08.016&partnerID=40&md5=d28046da4e64bedb8c541005bf5f217f
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