Evidence map›Paper›PMID 42699446›Full record

ArticleJournal of public health in Africa2026

Signal integration challenges in African epidemic intelligence: Lessons from the 2026 Bundibugyo virus disease outbreak and application of the PREIS framework.

Hyacinthe R Zabré

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Hyacinthe R ZabréData Science and Informatics Unit, Surveillance and Disease Intelligence Division, Africa Centres for Disease Control and Prevention, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0001-8835-9680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AfricaBundibugyo virus diseaseEbola diseaseepidemic intelligenceevent-based surveillancePublic Health Emergency of International Concernreproducible analyticssignal integration

Identifiers

PMID42699446
PMCPMC13543247

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.