Daily Diarrhea Cases and Associated Climatic Variables in Bangladesh (January 2023 – March 2025)

This dataset contains a daily time series of reported diarrhea cases along with key climatic and environmental variables across Bangladesh, covering the period from January 1, 2023, to March 31, 2025. It includes 12 variables: date, air temperature (day and night), surface temperature (day and night), precipitation, humidity (day and night), soil moisture, surface runoff, and the number of diarrhea cases. The dataset was developed to explore the potential associations between climatic factors and diarrhea incidence, aiming to support climate-sensitive health surveillance and predictive modeling. Climatic data were sourced from national meteorological and hydrological monitoring systems, while diarrhea case data were obtained from public health surveillance records. This dataset is intended for use in public health research, climate-health interaction studies, and machine learning applications related to disease forecasting and environmental health in Bangladesh.本数据集包含孟加拉国境内报告腹泻病例的每日时间序列数据，以及关键气候与环境变量，时间跨度为2023年1月1日至2025年3月31日。数据集共包含12项变量：日期、气温（昼间与夜间）、地表温度（昼间与夜间）、降水量、湿度（昼间与夜间）、土壤含水量、地表径流量与腹泻病例数。本数据集旨在探究气候因素与腹泻发病率之间的潜在关联，为气候敏感型健康监测与预测建模提供支撑。气候数据源自国家气象与水文监测系统，腹泻病例数据则取自公共卫生监测记录。本数据集可应用于孟加拉国的公共卫生研究、气候-健康交互作用研究，以及与疾病预测和环境卫生相关的机器学习应用场景。