Working Groups

The CSID Network uses a federated working group structure to allow autonomy for network members to convene and advance relevant topical areas of interest. Working group topics are determined collectively by network members. Each working group is autonomous, with control over the affairs they propose to work on. All working groups share overall goals and objectives with the broader network. The working group structure will feed into the overall governance of the network; representatives from each working group will participate in the overall management of the network through a volunteer-based group called the Scientific Engagement Council.

Working Groups

Community Engagement for Climate-Sensitive Infectious Diseases

This working group will develop a Toolkit that provides guidance for designing and successfully running community engagement (CE) campaigns in their research settings.

Recent Output


CSID Atlas

This working group will refine CSIDNet’s definition of CSIDs through a review of existing definitions, literature, and input from experts across disciplines.

CSID Models, Data, and Methods Repository

This working group will co-create a centralized and collaborative repository for cataloging key resources, such as tools, models, datasets, and analytical methods, relevant to cross-sectoral climate-sensitive infectious disease research and management.

Ethical Framework for Climate-Sensitive Infectious Diseases

This working group will build on the Africa Bioethics Network’s ongoing work with the WHO on climate-health ethics to develop targeted ethical guidance for climate-sensitive infectious disease (CSID) research.

Recent Output


Strengthening Climate-Sensitive Early-Warning Systems in LMICs

The CSIDNet Working Group on Early Warning Systems in Low and Middle-Income Countries establishes a co-design space for tools that connect climate, health and environmental data.  How can people join or participate in WG activities: We welcome modelers, public health professionals, climate scientists, and early-career researchers to join our monthly virtual peer-learning sessions to explore and test existing CSID early warning models. Members can contribute datasets, participate in model testing, or collaborate on technical reviews. Participation is voluntary. How can people get in touch with you:  Dr Ibrahima Diouf (WG Lead) - [email protected] Mamadou D. Coulibaly (Co-Lead) - [email protected]

Recent Output