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Signal integration challenges in African epidemic intelligence: Lessons from the 2026 Bundibugyo virus disease outbreak and application of the PREIS framework
Journal of Public Health in Africa | Vol 17, No 1 | a2079 |
DOI: https://doi.org/10.4102/jphia.v17i1.2079
| © 2026 Hyacinthe R. Zabré
| This work is licensed under Other
Submitted: 29 May 2026 | Published: 27 August 2026
Submitted: 29 May 2026 | Published: 27 August 2026
About the author(s)
Hyacinthe R. Zabre, Data Science and Informatics Unit, Surveillance and Disease Intelligence Division, Africa Centres for Disease Control and Prevention, Addis Ababa, EthiopiaAbstract
On 17 May 2026, the Director-General of the World Health Organization determined that Ebola disease caused by Bundibugyo virus in the Democratic Republic of the Congo (DRC) and Uganda constituted a Public Health Emergency of International Concern. Ten days separated the initial alert (05 May) from laboratory confirmation (15 May) although multiple non-laboratory signals were already active. Using this outbreak, we argue that Africa’s principal detection challenge is often not signal availability but the timely interpretive integration of concurrent multi-source signals, and we outline how a reproducible analytical layer – the Pan-African Real-time Epidemiological Intelligence System (PREIS) framework – might support it.
Keywords
epidemic intelligence; Bundibugyo virus disease; Ebola disease; Public Health Emergency of International Concern; Africa; event-based surveillance; signal integration; reproducible analytics
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