Advancing epidemic intelligence: evaluating Senegal’s mpox surveillance system and readiness for AI-driven predictive modelling
To develop predictive epidemic intelligence in Senegal, it's vital to involve local stakeholders, promote transparency, build workforce capacity, and establish safeguards for the ethical use of data. Combining technology, participatory governance, and institutional strengthening will enable Senegal to transition from reactive detection to proactive surveillance, positioning it as a regional leader in health security in West Africa.
Authors
- Moussa Seydi
- Fatoumata Binetou Diongue (ORCID: https://orcid.org/0000-0003-0063-6933)
- Aminata Massaly
- Tidiane Gadiaga (ORCID: https://orcid.org/0000-0001-8718-9683)
- Yoro Sall
- Ibrahima Sy (ORCID: https://orcid.org/0000-0002-9795-450X)
- Ndiaye Dia
- Boly Diop
- Pape Samba Dieye
- Oumou Kalsom D. Gueye
- Fallou Diakhate
- Ibrahima Seck
- Abdourakhmane Ndao
- Youssou Bamar Gueye
- Georgette H. C. Sow
- Sylvain L. B. Faye
Institutions
- Ministère de la Santé et de l'Hygiène Publique (ML)
- FIT Consulting (Italy) (IT)
- Computer Algorithms for Medicine (AT)
- Hospital for Tropical Diseases (VN)
- Cheikh Anta Diop University (SN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2026-02-03
- DOI
- https://doi.org/10.3389/fpubh.2026.1742888
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- International Development Research Centre
- University of Toronto