Projections of climate change-attributable diarrhea burden: a systematic review

This dataset supports the systematic review titled “Projections of climate change-attributable diarrhea burden: a systematic review.” It compiles projections of diarrheal disease outcomes under future climate change scenarios from published studies, expressed as percent change from baseline. The dataset is structured to facilitate comparative visualization and analysis across different climate scenarios, time periods, pathogen types, and development trajectories.

Key variables include study and projection metadata (years, time_period, location, region_type, climate_scenario, hazard), disease and demographic characteristics (outcome, pathogen, pathogen_type, age), and indicators of future development assumptions (adaptation, vulnerability, Exposure, and combined Adaptation_Vulnerability). Outcome data are recorded as baseline_cases, additional_cases, projected_cases, and the derived percent_change.

When percent change was directly reported in the original publication, it was extracted. When only absolute numbers were provided, percent change was calculated between baseline and projected values. If projected values were not given, back-calculations were attempted using other study data. For studies missing baseline values, we used Global Burden of Disease (GBD) estimates for the relevant time and location to approximate percent change. Studies lacking sufficient data to calculate or estimate percent change (n = 8) were excluded from summary figures and combined analyses.

All data were abstracted from publicly available published sources, and no personal or sensitive information is included. The dataset includes associated R code for replicating visualizations (e.g., Figure 2 of the manuscript) and may be reused for meta-analyses, modeling, or future projections of climate-related disease burden.