Health RADAR is a platform that makes it easier to find and use data for Climate-Sensitive Infectious Disease (CSID) modelling, with a primary focus on malaria in Southern Africa. The platform provides extensive documentation that describes and contextualises each dataset, offers worked code examples on how to incorporate data into CSID models and directs users to the original data sources where they can download the data.
One of the greatest obstacles to CSID modelling in Low and Middle-Income Countries (LMICs) is accessibility to operationalisable datasets. While much data may be publicly available, it often lacks proper documentation, context and examples for effective integration into disease models. Health RADAR addresses this gap by curating datasets with comprehensive documentation and worked examples.
Health RADAR curates datasets across multiple domains essential for CSID modelling:
- Climate & Environmental Data
- Epidemiological Data
- Demographic & Population Data
- Entomological Data
- Health System & Intervention Data
All datasets included in Health RADAR adhere to the following principles:
AAccessible: Data is available and accessible to usersBBefitting: Technically audited to ensure alignment with CSID modelling needsCCited: Proper attribution and citation information providedDDocumented: Comprehensive documentation of collection methods and contextEExemplified: Code examples for integration into CSID models
- Visit healthradartool.net
- Browse data sources by category or use the search function
- Review dataset documentation and examples
- Follow links to the original data sources to download data and integrate into your models using provided code examples
- Fork the GitHub repository
- Review our contribution guidelines
- Submit issues, feature requests, or data source suggestions
- Contribute to documentation and code examples
- Website: healthradartool.net
- GitHub: github.com/healthradartool/HealthRADAR
- Issues: Submit questions and feature requests through GitHub Issues
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.