CHEERSNetworkClimate & health research
Home / Tools / Data quality, analytics & AI

Data & analysis

Data quality, analytics & AI

Assess incomplete data and investigate patterns in connected health and environmental observations.

Published imputation research; broader AI approaches remain research directions

Conceptual data workflow: measurement quality, time alignment and research analysis
Conceptual analytical workflow · no participant data or effect estimates are shown.

Measurements & outputs

Measurements and outputs

  • Missing-data diagnostics and evaluated imputation methods.
  • Statistical associations and exploratory risk patterns.
  • Research into graph-based analysis and language-model approaches.

Research workflow

Research workflow

Audit data quality and define the analysis question before model development.

Evaluate imputation and prediction against suitable reference data, with separate validation and uncertainty assessment.

Interpretation & current limits

Interpretation and limitations

  • Reconstructed observations are model estimates. They should remain distinguishable from measured data.
  • Malaria signals and early-warning approaches are research findings requiring further validation. The network does not offer a validated diagnostic or alert service.
  • Health-LLM slides discuss external research examples, rather than a deployed CHEERS application.

Documented applications & research context

Applications and research context

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

Projects

CHIMES & CHIMES 2.0Population cohorts / CP1

Research settings

SiayaNouna

Publications & evidence

Related publications

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

Explore the full publication library ↗

Methods in exchange

Related workshops

Connecting CHEERS-SEA

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 40, 51, 56, 57, 58, 62. 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.

Back to all tools ↗Explore the framework ↗