Dengue fever is a virus-borne disease spread by mosquitos, and its global prevalence has risen significantly in recent years. The aim of this study was to analyze the impact and association of climatic factors on the spread of dengue incidence in Bangladesh. From January 2011 to December 2021, the study used secondary data on monthly dengue cases and the monthly average of climatic factors. In addition to the descriptive statistics, bivariate analyses of Kendall’s tau-b and Spearman’s rho have been performed for measuring the association of climatic factors on dengue infection. The generalized linear negative binomial regression model with and without lag was applied to evaluate the impacts of climatic factors on dengue transmission. Results of goodness of fit statistics \((AIC, BIC, and deviance)\) showed that NBR model with one month lag best fitted to our data. The model findings revealed that temperature \((IRR:1.223, 95\% CI:1.089-1.374)\), humidity \((IRR:1.131, 95\% CI:1.103-1.159)\), precipitation \((IRR:1.158, 95\% CI:1.072-1.253)\), and air pressure \((IRR:5.279, 95\% CI:1.411-19.046)\) were significantly positively influenced the spread of dengue incidence in Bangladesh. Additionally, dengue fever cases are anticipated to rise by 1.223, 1.131, 1.158, and 5.279 times, respectively, for the everyone-unit increase in the monthly average mean temperature, humidity, precipitation, and air pressure range. The findings on the epidemiological trends of the dengue epidemic and weather changes may interest policymakers and health officials.

登革热是一种通过蚊子传播的病毒传播疾病，近年来其全球患病率显着上升。本研究的目的是分析气候因素对孟加拉国登革热发病率传播的影响和关联。从2011年1月到2021年12月，该研究使用了每月登革热病例和气候因素的月平均值的二手数据。除了描述性统计之外，还对 Kendall's tau-b 和 Spearman's rho 进行了双变量分析，以测量气候因素与登革热感染的关联。应用带滞后和不带滞后的广义线性负二项回归模型来评估气候因素对登革热传播的影响。拟合优度统计结果\((AIC、BIC 和偏差)\)显示滞后 1 个月的 NBR 模型最适合我们的数据。模型结果显示，温度\((IRR:1.223, 95\% CI:1.089-1.374)\)、湿度\((IRR:1.131, 95\% CI:1.103-1.159)\)、降水量\((IRR :1.158, 95\% CI:1.072-1.253)\)和气压\((IRR:5.279, 95\% CI:1.411-19.046)\) 对孟加拉国登革热发病率的传播有显着的积极影响。此外，随着月平均气温、湿度、降水量和气压范围的单位增加，登革热病例预计将分别增加 1.223、1.131、1.158 和 5.279 倍。关于登革热疫情和天气变化的流行病学趋势的研究结果可能会引起政策制定者和卫生官员的兴趣。