Evaluation of the epidemic intelligence from open sources (EIOS) system for the early detection of outbreaks and health emergencies in the African region
We conclude that the EIOS system performed well in detecting public health events in the African region early. However, some improvements are needed. We recommend increasing social media and local community radio sources on the EIOS system.
Authors
- Mark E. J. Woolhouse (ORCID: https://orcid.org/0000-0003-3765-8167)
- Joseph Okeibunor (ORCID: https://orcid.org/0000-0002-6696-8503)
- Emerencienne Kibangou
- Philip AbdelMalik (ORCID: https://orcid.org/0000-0002-7984-2088)
- Abdou Salam Guèye (ORCID: https://orcid.org/0000-0003-4613-4904)
- Jean Paul Kimenyi (ORCID: https://orcid.org/0000-0003-0582-4036)
- R. Zaza
- Etien Luc Koua
- George Sie Williams (ORCID: https://orcid.org/0000-0001-7764-0629)
- Fleury Moussana
- Godwin Ubong Akpan (ORCID: https://orcid.org/0000-0002-9946-3851)
- Joyce Nguna (ORCID: https://orcid.org/0000-0002-6708-2069)
- Charles Okot
- Freddy Kambale
- Raquel Medialdea Carerra
- Yasmin Rabiyan
Institutions
- World Health Organization Regional Office for Africa (CG)
- University of Edinburgh (GB)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1186/s12889-025-21998-9
- Citations
- 10
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 13.54