Evidence map›Paper›PMID 40896167›Full record

ReviewPublic health reviews2025

Strengthening Outbreak Detection in Africa to Achieve the 7-1-7 Global Framework: Challenges and Opportunities.

Frantz Jean Louis, Lisa Nichols, Cristina de la Torre, Anicet G Dahourou

Abstract readReview
In one paragraph

Review in Public health reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
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

4 authors.

Frantz Jean LouisICF-Infectious Disease Detection and Surveillance Project of USAID, Rockville, MD, United States.
Lisa NicholsICF-Infectious Disease Detection and Surveillance Project of USAID, Rockville, MD, United States.
Cristina de la TorreICF-Infectious Disease Detection and Surveillance Project of USAID, Rockville, MD, United States.
Anicet G DahourouFHI 360, Washington, DC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Timely detection of infectious disease outbreaks is essential to limit health, social, and economic impacts, yet diagnostic and surveillance gaps persist across Africa. This review applies the 7-1-7 global target framework-detect within 7 days, notify within 1, and respond within 7-to assess strategies for strengthening early detection capacities across African countries. Methods: We conducted a review of peer-reviewed literature, institutional reports, and field evidence published without time span limitations. Key themes were organized around five strategic pillars: diagnostic preparedness, surveillance, workforce development, community engagement, and governance. Results: Identified bottlenecks include limited diagnostic networks capacity, fragmented surveillance systems, workforce shortages, and underinvestment in digital infrastructure. Promising solutions include diagnostic network optimization, deployment of point-of-care molecular tools, integration of event- and indicator-based surveillance through interoperable platforms, and AI-enabled early warning systems. Field examples from Uganda, Senegal, and Nigeria demonstrate improved timeliness where coordinated investments and multisectoral collaboration have been implemented. Conclusion: Meeting the 7-1-7 detection target requires integrated, country-owned strategies that align diagnostics, surveillance, workforce, and governance within resilient national health security frameworks, underpinned by sustained domestic investment.

Indexed as

diagnostic networkglobal healthinfectious diseaseoutbreak detectionsurveillance

Identifiers

PMID40896167
PMCPMC12392278

What OpenQuestion holds

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LicenceCC BY
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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.