CHEERSNetworkClimate & health research

Data & analysis

Graph databases & data integration

Represent people, households, observations and environmental events together with their relationships.

Published data-integration methods and continuing research

Conceptual relationships linking health, environment and population observations
Conceptual linked-data architecture · no participant data are shown.

Measurements & outputs

Measurements and outputs

  • Linked entities (nodes) and explicit relationships (edges).
  • Queries across individual, household and environmental layers.

Research workflow

Research workflow

Map source schemas and relationships while retaining time and provenance.

Use governed identifiers and access controls, then evaluate whether linked queries answer the scientific question.

Interpretation & current limits

Interpretation and limitations

  • A graph makes relationships explicit. It does not by itself remove bias, establish causality or validate prediction.
  • Real participant data require controlled access. The website provides an explanatory illustration, rather than access to a research database.

Documented applications & research context

Applications and research context

Links identify relevant studies and settings. Configuration and implementation stage differ between projects.

Projects

Research settings

Publications & evidence

Related publications

Read the study-specific methods, results and limitations. The framework paper describes the wider approach.

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Methods in exchange

Related workshops

Source & scope

Sources and scientific context

Content and images draw on Sandra Barteit’s Freiburg lecture, The Impact of Climate Change on Human Health: Lessons from Low- and Middle-Income Countries, slides 17, 60, 61, 62, 63, 64. Publication pages provide the corresponding research evidence. Reviewed 12 November 2026.

Images extracted from the lecture retain the original device or research illustration. Product images identify examples used in the source material.

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