Evidence map›Paper›PMID 42903164›Full record

ArticleFrontiers in public health2026

The geography of waiting: surveillance latency as the hidden driver of Ebola risk in East Africa.

Okechukwu Paul-Chima Ugwu, Chinyere Nneoma Ugwu, Godson Emeka Anyanwu, Mariam Basajja, Maryann Chiamaka Ebuoh

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Article in Frontiers in public health, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Okechukwu Paul-Chima UgwuDepartment of Research, Publication and Extension, Kampala International University, Kampala, Uganda.
Chinyere Nneoma UgwuDepartment of Research, Publication and Extension, Kampala International University, Kampala, Uganda.
Godson Emeka AnyanwuDepartment of Anatomy, Faculty of Biomedical Sciences, Kampala International University, Kampala, Uganda.
Mariam BasajjaDepartment of Research, Publication and Extension, Kampala International University, Kampala, Uganda.
Maryann Chiamaka EbuohDepartment of Human Anatomy, Enugu State University of Medical and Applied Sciences, Enugu, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ebola virus disease remains a persistent public health threat in East Africa, yet preparedness strategies continue to emphasise response after outbreaks are recognised rather than the period preceding detection. This Perspective argues that surveillance latency the cumulative delay between the earliest clinically meaningful signal and organised public health action is a critical but insufficiently measured determinant of Ebola risk. Although diagnostic and reporting delays have been widely documented, they are often treated as isolated operational challenges. We introduce the concept of the geography of waiting, an integrative framework that links biological, clinical, diagnostic, administrative and community delays to spatial inequalities in physical, technical and relational infrastructure. Unequal access to diagnostics, transportation, laboratory networks, trusted communication channels and community reporting systems creates substantial variation in detection timelines across settings. Where surveillance latency is prolonged, transmission may continue undetected, increasing the likelihood of larger and more complex outbreaks. Drawing on evidence from outbreaks in Uganda, the Democratic Republic of the Congo, Guinea and Rwanda, we examine the mechanisms underlying delayed detection and consider them alongside performance frameworks such as Uganda's 7-1-7 strategy. We propose a practical approach that integrates syndromic and event-based surveillance, decentralised molecular testing, community early-warning systems and regional data sharing. Because shorter detection intervals are associated with smaller eventual outbreaks in the cases reviewed here, reducing surveillance latency is a plausible high-value investment for Ebola preparedness, although this remains a hypothesis pending formal economic evaluation rather than an established finding.

Indexed as

Disease OutbreaksHemorrhagic Fever, EbolaPopulation SurveillanceAfrica, EasternHumansTime Factorsearly warning systemsEast AfricaEbola virus diseaseepidemic preparednesshealth securityoutbreak detectionpublic health surveillancesurveillance latency

Identifiers

PMID42903164
PMCPMC13680404

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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.