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Sustainable Training in Epidemiological Analysis and Modelling for Data-Driven Decision Making in Africa (STEAM-3D)

Objective

The STEAM-3D project seeks to address critical gaps in mathematical and statistical infectious diseases modelling capacity in Sub-Saharan Africa by providing high-quality, multidisciplinary training with a focus on sustainability and policy impact. The project, led by the South African Medical Research Council, includes three additional training hubs in Cameroon (Douala General Hospital), Mozambique (Universidade Eduardo Mondlane) and Malawi (University of Malawi) and a Northern Partner (University of Hasselt, Belgium). The proposal has four specific aims. The first aim of the project is to build modeling capacity through five training workshops, chosen based on high relevance during previous outbreaks. The workshops include the topics of mathematical modeling, outbreak data modeling, wastewater epidemiology, the analysis routine health data to inform outbreak response, and AI/machine learning with practical implementation using large real-world datasets. The workshop participants will include researchers in public health and research institutes across South Africa, Uganda, Botswana, Rwanda, Cameroon, Mozambique, Malawi and Kenya leveraging existing strong networks in the region. The second aim of improving communication of model outputs to policymakers, will be realised through training on the development of interactive dashboards, e-platforms for education, and training on evidence-based decision-making. An additional aim of the project is to ensure ensure sustainability by creating a pipeline of researchers. The STEAM-3D project will include mentoring of trainees and the use open-source free platforms to keep materials accessible post-project. In addition to this all trainees will form part of an Infectious Disease Modelling Working Group featuring seminars and regular meetings for ongoing collaboration. The final aim is to strengthen partnerships through existing South-South networks and the SAMRC-hosted working group.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-JU-CSA - HORIZON JU Coordination and Support Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-JU-GH-EDCTP3-2025-02-two-stage

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Coordinator

EUROPEAN & DEVELOPING COUNTRIES CLINICAL TRIALS PARTNERSHIP
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1,00
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (5)