Hossain Sorif, Islam Md Momin, Hasan Md Abid, Chowdhury Promit Barua, Easty Imtiaj Ahmed, Tusar Md Kamruzzaman, Rashid Md Bazlur, Bashar Kabirul
Department of Statistics, Noakhali Science and Technology University, Bangladesh.
Department of Meteorology, University of Dhaka, Dhaka, 1000, Bangladesh.
Heliyon. 2023 May 5;9(5):e16053. doi: 10.1016/j.heliyon.2023.e16053. eCollection 2023 May.
In Bangladesh, particularly in Dhaka city, dengue fever is a major factor in serious sickness and hospitalization. The weather influences the temporal and geographical spread of the vector-borne disease dengue in Dhaka. As a result, rainfall and ambient temperature are considered macro factors influencing dengue since they have a direct impact on Aedes aegypti population density, which changes seasonally dependent on these critical variables. This study aimed to clarify the relationship between climatic variables and the incidence of dengue disease.
A total of 2253 dengue and climate data were used for this study. Maximum and minimum temperature (°C), humidity (grams of water vapor per kilogram of air g.kg), rainfall (mm), sunshine hour (in (average) hours per day), and wind speed (knots (kt)) in Dhaka were considered as the independent variables for this study which trigger the dengue incidence in Dhaka city, Bangladesh. Missing values were imputed using multiple imputation techniques. Descriptive and correlation analyses were performed for each variable and stationary tests were observed using Dicky Fuller test. However, initially, the Poisson model, zero-inflated regression model, and negative binomial model were fitted for this problem. Finally, the negative binomial model is considered the final model for this study based on minimum AIC values.
The mean of maximum and minimum temperature, wind speed, sunshine hour, and rainfall showed some fluctuations over the years. However, a mean number of dengue cases reported a higher incidence in recent years. Maximum and minimum temperature, humidity, and wind speed were positively correlated with dengue cases. However, rainfall and sunshine hours were negatively associated with dengue cases. The findings showed that factors such as maximum temperature, minimum temperature, humidity, and windspeed are crucial in the transmission cycles of dengue disease. On the other hand, dengue cases decreased with higher levels of rainfall.
The findings of this study will be helpful for policymakers to develop a climate-based warning system in Bangladesh.
在孟加拉国,尤其是在达卡市,登革热是导致严重疾病和住院的主要因素。天气影响了达卡媒介传播疾病登革热的时间和地理传播。因此,降雨和环境温度被视为影响登革热的宏观因素,因为它们直接影响埃及伊蚊的种群密度,而埃及伊蚊的种群密度会根据这些关键变量季节性变化。本研究旨在阐明气候变量与登革热疾病发病率之间的关系。
本研究共使用了2253个登革热和气候数据。达卡的最高和最低温度(°C)、湿度(每千克空气中水蒸气的克数g.kg)、降雨量(mm)、日照时数(每天平均小时数)和风速(节(kt))被视为本研究的自变量,这些变量引发了孟加拉国达卡市的登革热发病率。使用多重插补技术对缺失值进行插补。对每个变量进行描述性和相关性分析,并使用迪基 - 富勒检验观察平稳性检验。然而,最初针对此问题拟合了泊松模型、零膨胀回归模型和负二项式模型。最后,基于最小AIC值,负二项式模型被视为本研究的最终模型。
多年来,最高和最低温度、风速、日照时数和降雨量的平均值呈现出一些波动。然而,近年来报告的登革热病例平均数量有所增加。最高和最低温度、湿度和风速与登革热病例呈正相关。然而,降雨量和日照时数与登革热病例呈负相关。研究结果表明,最高温度、最低温度、湿度和风速等因素在登革热疾病的传播周期中至关重要。另一方面,降雨量增加时登革热病例减少。
本研究结果将有助于政策制定者在孟加拉国开发基于气候的预警系统。