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

Loading...
Thumbnail Image
File version

Version of Record (VoR)

Author(s)
Islam, Mohammad Zahirul
Rutherford, Shannon
Phung, Dung
Uzzaman, Md Nazim
Baum, Scott
Huda, M Mamun
Asaduzzaman, Muhammad
Talukder, Mohammad Radwanur Rahman
Chu, Cordia
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2018
Size
File type(s)
Location
License
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.

Journal Title

CUREUS

Conference Title
Book Title
Edition
Volume

10

Issue

10

Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

© Copyright 2018 Zahirul Islam et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Item Access Status
Note
Access the data
Related item(s)
Subject

Biomedical and clinical sciences

Health sciences

Persistent link to this record
Citation
Collections