| Title: |
Widening the lens of population-based health research to climate change impacts and adaptation: the climate change and health evaluation and response system (CHEERS) |
| Authors: |
Sandra Barteit; Ali Sié; Pascal Zabré; I Traoré; Windpanga Aristide Ouédraogo; Valentin Boudo; Stephen Munga; Sammy Khagayi; David Obor; Erick Muok; Jonas Franke; Maximilian Schwarz; Klaus Blass; Tin Tin Su; Till Bärnighausen; Osman Sankoh; Rainer Sauerborn |
| Source: |
Frontiers in Public Health, Vol 11 (2023) |
| Publisher Information: |
Frontiers Media S.A. |
| Publication Year: |
2023 |
| Collection: |
Directory of Open Access Journals: DOAJ Articles |
| Subject Terms: |
health impacts; public health surveillance; climate change; digital health; low and middle-income country; climate change and health; Public aspects of medicine; RA1-1270 |
| Description: |
BackgroundClimate change significantly impacts health in low-and middle-income countries (LMICs), exacerbating vulnerabilities. Comprehensive data for evidence-based research and decision-making is crucial but scarce. Health and Demographic Surveillance Sites (HDSSs) in Africa and Asia provide a robust infrastructure with longitudinal population cohort data, yet they lack climate-health specific data. Acquiring this information is essential for understanding the burden of climate-sensitive diseases on populations and guiding targeted policies and interventions in LMICs to enhance mitigation and adaptation capacities.ObjectiveThe objective of this research is to develop and implement the Change and Health Evaluation and Response System (CHEERS) as a methodological framework, designed to facilitate the generation and ongoing monitoring of climate change and health-related data within existing Health and Demographic Surveillance Sites (HDSSs) and comparable research infrastructures.MethodsCHEERS uses a multi-tiered approach to assess health and environmental exposures at the individual, household, and community levels, utilizing digital tools such as wearable devices, indoor temperature and humidity measurements, remotely sensed satellite data, and 3D-printed weather stations. The CHEERS framework utilizes a graph database to efficiently manage and analyze diverse data types, leveraging graph algorithms to understand the complex interplay between health and environmental exposures.ResultsThe Nouna CHEERS site, established in 2022, has yielded significant preliminary findings. By using remotely-sensed data, the site has been able to predict crop yield at a household level in Nouna and explore the relationships between yield, socioeconomic factors, and health outcomes. The feasibility and acceptability of wearable technology have been confirmed in rural Burkina Faso for obtaining individual-level data, despite the presence of technical challenges. The use of wearables to study the impact of extreme weather on health ... |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fpubh.2023.1153559/full; https://doaj.org/toc/2296-2565; https://doaj.org/article/6398ff062106434c9462db941c78893b |
| DOI: |
10.3389/fpubh.2023.1153559 |
| Availability: |
https://doi.org/10.3389/fpubh.2023.1153559; https://doaj.org/article/6398ff062106434c9462db941c78893b |
| Accession Number: |
edsbas.23BE2126 |
| Database: |
BASE |