Nonlinear and lagged effects of climate variability on dengue incidence in an urban megacity: a distributed lag non-linear model (DLNM) based study in Bangkok, Thailand

气候变化对曼谷特大城市登革热发病率的非线性滞后效应:基于分布式滞后非线性模型(DLNM)的研究

阅读:2

Abstract

BACKGROUND: Dengue fever represents a significant and escalating public health challenge in tropical megacities such as Bangkok, Thailand. This study aims to examine the associations between temperature, humidity, rainfall, and wind speed with dengue incidence across multiple lag periods and to explore spatial heterogeneity in these climate-dengue relationships across Bangkok’s urban zones. METHODOLOGY: Analysis of 105,890 confirmed dengue cases reported in Bangkok between 2015 and 2024, stratified across six urban zones. Distributed Lag Non-Linear Models (DLNM) were employed to quantify the effects of four key meteorological variables: temperature, humidity, rainfall, and wind speed. RESULTS: Significant non-linear relationships and heterogeneity in climate-driven dengue risk were found across both space and time. Spatially, the effects were most pronounced for humidity and wind speed. For instance, over a 0–2 months lag, higher humidity was associated with a substantial increase in risk in North Krung Thon (RR=1.477, 95% CI: 1.290–1.690) but a significant protective effect in South and Middle Bangkok. Similarly, wind speed was associated with a significant risk increase in South Bangkok (RR=1.405, 95% CI: 1.293–1.526) but a protective effect in East Bangkok (RR=0.749, 95% CI: 0.710–0.789). Elevated minimum temperature also exhibited a spatially varied impact, peaking in Middle Bangkok (RR=1.350, 95% CI: 1.288–1.414). The analysis confirmed distinct patterns over time, with climate impacts manifesting as immediate risks in some zones and as pronounced delayed risks (8–12 months) in others. CONCLUSION: The associations between climatic variables and dengue incidence in Bangkok are highly complex, non-linear, and characterized by significant spatial and temporal heterogeneity. The varied timing of climate impacts, from immediate to delayed, suggests that public health responses must be adapted to the unique temporal risk structures of each urban zone, providing a framework for more precise interventions in complex urban environments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-025-25420-2.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。