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孟加拉国两个大城市气候变异性与登革热的相关性

Correlates of Climate Variability and Dengue Fever in Two Metropolitan Cities in Bangladesh.

作者信息

Zahirul Islam Mohammad, Rutherford Shannon, Phung Dung, Uzzaman Md Nazim, Baum Scott, Huda M Mamun, Asaduzzaman Muhammad, Talukder Mohammad Radwanur Rahman, Chu Cordia

机构信息

Preventive Medicine, International Center for Diarrhoeal Disease Research, Dhaka, BGD.

Epidemiology and Public Health, Griffith University, Brisbane, AUS.

出版信息

Cureus. 2018 Oct 1;10(10):e3398. doi: 10.7759/cureus.3398.

Abstract

Dengue fever is a major public health concern in Bangladesh with increased incidence during monsoon. We aimed to assess the correlation of temperature, humidity, and rainfall on dengue fever in two dengue endemic cities in Bangladesh. It was a time series analysis of climate factors and dengue occurrence data in Dhaka and Chittagong cities from 1 January 2000 to 31 December 2009. Daily mean temperature, rainfall, and humidity data were obtained from the Bangladesh meteorological department and daily dengue cases data were obtained from the directorate general of health services (DGHS) of Bangladesh. The mean dengue incidence was 31.62 (SD 28.7) per 100,000 in Dhaka whereas it was 5.76 (SD 11.7) per 100,000 population in Chittagong. The incidence of dengue cases was found significantly associated with the monthly mean temperature, total rainfall, and mean humidity in Dhaka, though in Chittagong, the significantly associated factors​ ​​​​​​were monthly total rainfall and mean humidity. The autoregressive integrated moving average (ARIMA) model identified monthly mean humidity and total rainfall as the most significant contributing factors for dengue cases in Dhaka and Chittagong, respectively. Our study reinforces the relationship of climate parameters with dengue fever, which will support policy-makers in developing a climate-based early warning system for dengue in Bangladesh.

摘要

登革热是孟加拉国主要的公共卫生问题,在季风季节发病率会上升。我们旨在评估孟加拉国两个登革热流行城市的温度、湿度和降雨量与登革热之间的相关性。这是一项对2000年1月1日至2009年12月31日达卡和吉大港的气候因素及登革热发病数据进行的时间序列分析。每日平均温度、降雨量和湿度数据来自孟加拉国气象部门,每日登革热病例数据来自孟加拉国卫生服务总局(DGHS)。达卡每10万人中登革热的平均发病率为31.62(标准差28.7),而吉大港每10万人口中的发病率为5.76(标准差11.7)。在达卡,登革热病例的发病率与月平均温度、总降雨量和平均湿度显著相关,不过在吉大港,显著相关因素是月总降雨量和平均湿度。自回归积分移动平均(ARIMA)模型分别确定月平均湿度和总降雨量是达卡和吉大港登革热病例的最主要影响因素。我们的研究强化了气候参数与登革热之间的关系,这将有助于政策制定者在孟加拉国建立基于气候的登革热早期预警系统。

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