Monthly Division-Level Dengue Cases & Mortality with Climate and Environmental Indicators in Bangladesh (2020–2025)

This dataset compiles monthly dengue surveillance statistics and associated environmental conditions for all eight administrative divisions of Bangladesh (Barishal, Chattogram, Dhaka, Khulna, Mymensingh, Rajshahi, Rangpur and Sylhet) covering January 2020 through December 2025. Each record represents a specific division–month pair and includes:

-Division, Year and Month: Administrative division and the month/year of observation.
-Pollution: Qualitative level of ambient air pollution (“High,” “Medium,” “Low”).
-Density: Qualitative population density category for the division (“High,” “Medium,” “Low”).
-Infected and Death: Number of laboratory-confirmed dengue cases and associated deaths in the given month.
-Temperature: Average monthly air temperature (°C).
-Humidity: Average monthly relative humidity (fractional values between 0 and 1).
-Pressure: Average monthly atmospheric pressure (mbar).
-Class: A derived dengue alert level (“High,” “Medium,” “Low” or “Very Low”), calculated using infection and death rates.

The dataset contains 574 rows and 11 columns. It can be used to explore correlations between dengue incidence and environmental factors, develop predictive models for dengue outbreaks, and examine regional differences in disease burden. The inclusion of the “Class” label enables supervised learning for classification tasks (e.g., forecasting dengue alert levels for upcoming months), while raw counts and environmental variables support regression and correlation analyses.
Data were collated from government health bulletins, meteorological reports and publicly available environmental datasets, then aggregated by division and month. Researchers may reuse or adapt this dataset for epidemiological modelling, climate–health studies or public health decision support.