2026-10-07T23:32:38Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34041486 2026-10-01T08:27:08Z category_27106 category_27109 category_27205 item_type_3 month_year_10_2026

<b>Meteorological, seasonal, and geographic associations with daily reported dengue cases across Bangladesh's eight divisions.</b> MOHAMMAD OMAR NURSHAD (23734113) Health surveillance Health systems Public health not elsewhere classified dengue activity levels dengue association across meteological <p dir="ltr">We analyzed 483,715 dengue cases reported across Bangladesh's eight divisions, using 8,768 division-days from January 2022 to December 2024. We linked the daily counts to temperature, rainfall, humidity and sunshine from the Bangladesh Meteorological Department.</p><p dir="ltr">Our main model was negative binomial regression. We then tested the results with three other methods: generalized estimating equations, zero-inflated negative binomial regression, and Poisson regression with Driscoll-Kraay errors. We also ran a distributed-lag model for temperature.</p><p dir="ltr">Temperature was the only weather factor with a robust link. Cases were lower at cooler temperatures and somewhat lower again at the highest temperatures. A 28-day lag fitted best, and a 14-day lag was almost as good. Humidity looked positive in standard models but lost support once we allowed for correlation between neighboring days. Rainfall and sunshine showed no robust link.</p><p dir="ltr">The findings are ecological. They rest on three years, and 2023 accounts for two-thirds of all cases. The data are reported counts without population denominators. The results do not support fixed weather-threshold alerts.</p> 2026-10-01T08:27:08Z Dataset Dataset 10.6084/m9.figshare.34041486.v1 https://figshare.com/articles/dataset/_b_Meteorological_seasonal_and_geographic_associations_with_daily_reported_dengue_cases_across_Bangladesh_s_eight_divisions_b_/34041486 CC BY 4.0