Bring evidence together
Connect health, environment and social context through a shared country-and-year data model.
Global health · Data · Evidence
Data helps us understand why.
GHEAS is an independent, data-driven platform for exploring how environment, development and health systems shape outcomes across countries and over time.
健康,从来就不是没有缘由的。
数据帮助我们揭示其中的原因。
A health outcome rarely belongs to one cause. It emerges from exposure, behaviour, biology, resources, place and time.
GHEAS brings these fragments into view—carefully, transparently and without pretending that correlation alone is an answer.
The first complete release demonstrates that workflow end to end: source the data, record the rules, compare models, preserve uncertainty, and publish a reviewable evidence report.
A completed first-study workflow designed to be repeated as the questions, datasets and methods become more sophisticated.
Connect health, environment and social context through a shared country-and-year data model.
Use transparent statistics and clear visualizations to surface patterns, differences and uncertainty.
Distinguish association from causation, preserve source context and make every conclusion traceable.
The first GHEAS release now connects all five planned modules: source records, a repeatable pipeline, cross-sectional and panel analysis, interactive visual exploration, and a formal evidence report.
Record datasets, indicators, versions, sources and licensing in a traceable way.
Standardize countries and years, then prepare repeatable cleaning and matching workflows.
Run descriptive comparisons, subgroup analysis, regression checks and sensitivity tests.
Turn results into maps, trends and charts that remain honest about uncertainty.
Compile methods, limits and conclusion levels into a report that can be reviewed and reused.
GHEAS now separates completed findings from active protocols. Every project shows its evidence stage before it shows a conclusion.
A frozen country-year study with dual-track sensitivity analysis, a formal paper and reproducible outputs.
02 · ACTIVEA systematic review and Meta-analysis that tests how design, measurement and transparency shape published estimates.
OPEN REGISTRYSee protocols, validated searches, screening progress and exactly which claims are—and are not—ready.
A reviewer can inspect the framing, sources, model sequence, numerical outputs, evidence boundaries and paper without needing additional context.
The homepage explains the project purpose, the evidence philosophy and the first study in a coherent, presentation-ready sequence.
The analysis page unifies provenance, descriptive evidence, adjusted models, interpretation and limits into one reviewable experience.
The work explicitly states that the current result is descriptive and model-based, not a final causal claim.
The data, analysis programs, machine-readable results, formal paper and public download are linked as one release.
GLOBAL COUNTRY COMPARISON · MODULE 01 · VERSION 1.0
The first dataset now connects 6,800 country-year observations. The study now includes descriptive comparisons, pre-specified multivariable adjustment, a 4,406-observation country panel, lag and sample sensitivity checks, and independent numerical verification.