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. W..., , # Projections of climate change-attributable diarrhea burden systematic review box plot and associated data

Dataset DOI: [10.5061/dryad.gqnk98t00](10.5061/dryad.gqnk98t00)

## Description of the data and file structure

In this study we summarized climate change-attributable projections of diarrheal diseases, appraised study methods and results, and examined evidence for adaptation strategies. We searched Web of Science and PubMed databases for terms related to diarrhea, dysentery, and projected climate change through February 2024 and included studies with future projections of climate-related diarrhea burden. We summarized range of projected percent change in future diarrheal disease relative to study baseline, stratified by economic context, pathogen, time period, and emission scenario. We assessed modeling approaches and quality of evidence for included studies. This dataset includes data from the studies we included in our models, as well as the code for generating box plots from ...,