兰州大学循证社会科学交叉创新实验室 Innovation Laboratory of Evidence-based Social Sciences,Lanzhou University

A systematic review and meta-analysis of dengue risk with temperature change.

2014-12-23

   Dengue fever (DF) is the most serious mosquito-borne viral disease in the world and is significantly affected by temperature. Although associations between DF and temperatures have been reported repeatedly, conclusions have been inconsistent. Six databases were searched up to 23 March 2014, without language and geographical restrictions. The articles that studied the correlations between temperatures and dengue were selected, and a random-effects model was used to calculate the pooled odds ratio and 95% confidence intervals. Of 1589 identified articles, 137 were reviewed further, with 33 satisfying inclusion criteria. The closest associations were observed between mean temperature from the included studies (23.2-27.7 °C) and DF (OR 35.0% per 1 °C; 95% CI 18.3%-51.6%) positively. Additionally, minimum (18.1-24.2 °C) (29.5% per 1 °C; 20.9%-38.1%) and maximum temperature (28.0-34.5 °C) (28.9%; 10.3%-47.5%) were also associated with increased dengue transmission. The OR of DF incidence increased steeply from 22 °C to 29 °C, suggesting an inflexion of DF risk between these lower and upper limits of DF risk. This discovery is helpful for government decision-makers focused on preventing and controlling dengue in areas with temperatures within this range.
   

研究类型
Meta分析
人群
混合人群
国家
China
关键词
dengue fever (DF), temperature, correlation, odds ratio (OR), systematic review, meta-analysis
来源期刊
Int J Environ Res Public Health
发布日期
2014-12-23
全文链接
https://pmc.ncbi.nlm.nih.gov/articles/PMC4306847/
相关网址
https://pubmed.ncbi.nlm.nih.gov/25546270/
DOI
10.3390/ijerph120100001
主题
["传染病"] ["卫生服务"]
作者
Wanxia Wei Kehu Yang Jingchun Fan Chunling Fan Shulan Li Zhenggang Bai Qiyong Liu