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.