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Signal integration challenges in African epidemic intelligence: Lessons from the 2026 Bundibugyo virus disease
1Data Science and Informatics Unit, Surveillance and Disease Intelligence Division, Africa Centres for Disease Control and Prevention, Addis Ababa, Ethiopia.
Abstract:
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.
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