Heidelberg Institute of Global Health (HIGH) ↗
Digital Global Health, shared methods and academic research collaboration
Academic coordination · Germany
Heidelberg
An academic hub for CHEERS framework development, digital global health, epidemiology, graph-based data integration and research collaboration. Heidelberg supports field partnerships; it is not an HDSS field cohort.
Coordination & methods
Research priorities
Research focus
Digital Global Health · PULSE-AI · Methods · Training and collaboration
Goals & priorities
Objectives
- Develop shared climate-health methods and support field partnerships.
- Connect epidemiology, physiology, environmental observation and digital data architecture.
- Support workshops, research training, linked data and collaborative publication.
Place & research context
Heidelberg in context
Partners & connections
Partner institutions
Charité – Universitätsmedizin Berlin ↗
Heat stress and environmental physiology expertise
The institutions and roles shown here describe the documented research and exchange connections. Responsibilities for individual studies are set by the participating teams.
Current status · 12 November 2026
Coordination & methods
Heidelberg provides academic coordination and methods development, including Digital Global Health and PULSE-AI. It supports institutional field partnerships and training. This profile describes an academic hub rather than an HDSS field cohort. Separately, the developing REFRAME project plans a German satellite and research coordination here, with a January 2027 start planned and EU contract preparation ongoing. This prospective contribution is distinct from the activities described above.
Publications & evidence
Related publications
The labels distinguish project or site publications from related studies and shared methods. Protocols describe research designs, rather than proven health effects.
2023FrameworkMethods
Widening the lens of population-based health research to climate change impacts and adaptation: the climate change and health evaluation and response system (CHEERS) ↗
Introduces the modular CHEERS framework linking population surveillance, environmental measurements and individual health data.
Methods, findings & limitations ↗2026Data-methods studyData architecture
Design and Implementation of a Knowledge Graph for Integrating Global Health Data Using Neo4j ↗
Shows how Nouna population, weather, wearable and indoor climate datasets can be linked in a knowledge graph.
Methods, findings & limitations ↗2025Laboratory methods studyValidation
Laboratory comparison of consumer-grade and research-established wearables for monitoring heart rate, body temperature, and physical acitivity in sub-Saharan Africa ↗
Compares consumer-grade and established research devices under standardized conditions for field research in Africa.
Methods, findings & limitations ↗2022Methods reviewReview
Wearables for Measuring Health Effects of Climate Change–Induced Weather Extremes: Scoping Review ↗
Maps the use of wearables to study health effects of extreme weather.
Methods, findings & limitations ↗Connected projects
Research connections
Sources & updates
Sources and updates
- Visit Digital Global Health ↗
- Public contact / role: Dr Sandra Barteit ↗
- Connected project: Population cohorts / CP1 ↗
- Connected project: PULSE-AI ↗
- Connected project: CHIMES & CHIMES 2.0 ↗
- Connected project: Heat to Harvest ↗
- Connected project: CHEERS–Vadu pilot ↗
- Connected project: Locally built weather stations ↗
- Connected project: WHO/TDR learning module ↗
- REFRAME project scope and preparation status ↗
Profile reviewed 12 November 2026. Suggest a profile update ↗
Network resources & exchange