Educational Resource Hub
This crowd-sourced database of educational resources is meant to encompass any tools relevant to people working at the intersection of health and extreme weather. This might include submissions by the content authors themselves, or simply recommendations from community members for resources they have found helpful. This collection includes only links directing users to existing resources - it is not meant to house or archive content.
Keep in mind, this is a crowd-sourced database. CAFE does not verify the quality nor endorse the use of any materials included in this database. Make sure to follow the terms of use and attribution requirements specific to each resource. If you have created or used sources that would be relevant to the community of practice, please add it to the database by entering it in the submission form below.
The HISP Centre at the Univeristy of Oslo released DHIS2 Climate Tools, an open-source, Python-based toolkit containing libraries, workflows, and how-to guides that you can use to access, process, and upload both local and global climate, weather and environmental data—or other geospatial datasets—to DHIS2 and the Chap Modeling Platform to support your climate-health data needs.
This advanced webinar series from the HISP Centre at the University of Oslo dives into time series modelling, statistics and machine learning, climate-health relations, DHIS2 tools, GitHub workflows, the Chap Modeling Platform, climate data/GIS, and more. These webinars introduce advanced technical concepts and assume prerequisite knowledge. You’ll get the most value if you have:
- Experience with Python or R programming.
- Preferably some background in epidemiology, statistics, or data science
- Motivation to develop or work with early warning systems for climate-sensitive diseases.
Through practical examples tied to DHIS2 workflows, viewers will gain the tools to build more robust, defensible climate-health forecasts that support operational decision-making in public health systems.
Learn more about the series | Watch the recordings
The Global Heat-Health Action Plan Registry is a centralized, global repository of national heat action plans. It currently includes plans from 23 countries and provides direct links to each document, making it easier for researchers, policymakers, and practitioners to access and compare heat-health strategies across regions.
The Annals of Global Health published fourteen case studies on adapting to extreme weather in low- and middle-income countries. Find the full case study collection here, along with an introduction paper, Lessons from the field: Case studies to advance research on climate adaptation strategies and their impact on public health.
The `heat` R package from StanfordEchoLab makes it easier to work with climate or other gridded data in applied research, providing a comprehensive and optimized set of tools to compute environmental exposures.
This engaging course is designed to raise awareness and deepen understanding of the One Health approach – a collaborative, multisectoral strategy that recognizes the interconnection between people, animals, plants, and the environment.
The course is structured in five concise modules, each lasting approximately 30 minutes. Learners will explore the foundations and evolution of the One Health concept, its practical applications, the critical role of the environmental sector, sources of pathogens, and the anthropogenic drivers behind disease emergence. Special attention is given to global challenges such as climate change, biodiversity loss, and emerging infectious diseases, and how these can be addressed using a One Health lens.
The Syllabus Bank from Brown University’s Climate Solutions Lab fosters and improves university-level courses on climate change in the social sciences.
Explore the syllabus bank to enrich your courses on population and climate, and contribute your own materials to expand high-quality teaching resources worldwide.
This tutorial provides code examples for working with the Health and Retirement Study from the Center for Aging, Health, & Environment (CACHE). The data is commonly used by researchers to study older adults in the United States. The survey is nationally representative of the U.S. population over age 50 and contains many questions related to aging as well as modules that capture early life exposures.
Crowd-Sourced Environment and Health Educational Resources Collection Submission Form
Do you have a resource you’d like to share with the community in this educational resource collection? Please fill out the submission form below.
Your entry will be checked to ensure the content is appropriate, but will not be assessed for accuracy or completeness, and no other quality checks will be done.
If you have a dataset you’d like to share with the community, think about posting it to the CAFE collection on Dataverse!
Please fill out the form to add a resource you think might be helpful for the research community of practice.
The type of resources that should be shared here are one of the following:
- Book or reference text (e.g. textbook or guidebook on best practices or other essential knowledge)
- Code repository (e.g. a GitHub code bank of an existing analysis)
- Online code tutorial or vignette (e.g. a walkthrough of specific code or methods with examples and explanations)
- Online course (e.g. a series of learning objectives with content and assessment)
- Video or recorded webinar (e.g. educational resources presented in video format)
