Evidence map›Paper›PMID 41417847›Full record

ArticlePLOS global public health2025

Timeliness of yellow fever specimen collection and transport in Ghana, 2018-2022.

Seth D Judson, Lee Schroeder, Franklin Asiedu-Bekoe, Dennis Odai Laryea, Gifty Boateng, Horlali Gudjinu, Robert Ossom, Jerry Fosu Danquah, David W Dowdy, Ernest Kenu

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Seth D JudsonDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.ORCID https://orcid.org/0000-0001-9911-7839
Lee SchroederDepartment of Pathology, University of Michigan, Ann Arbor, Michigan, United States of America.
Franklin Asiedu-BekoeDisease Surveillance Department, Public Health Division, Ghana Health Service, Accra, Ghana.
Dennis Odai LaryeaDisease Surveillance Department, Public Health Division, Ghana Health Service, Accra, Ghana.
Gifty BoatengNational Public Health and Reference Laboratory, Ghana Health Service, Accra, Ghana.ORCID https://orcid.org/0000-0002-8833-7235
Horlali GudjinuDisease Surveillance Department, Public Health Division, Ghana Health Service, Accra, Ghana.ORCID https://orcid.org/0000-0001-6244-0720
Robert OssomDisease Surveillance Department, Public Health Division, Ghana Health Service, Accra, Ghana.ORCID https://orcid.org/0009-0008-7131-5049
Jerry Fosu DanquahDisease Surveillance Department, Public Health Division, Ghana Health Service, Accra, Ghana.ORCID https://orcid.org/0009-0005-8587-5176
David W DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Ernest KenuDepartment of Epidemiology, University of Ghana School of Public Health, Accra, Ghana.

Funding

Understanding and Improving the Effectiveness of Public Health Laboratory Networks for Infectious Diseases in GhanaR01AI136977 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOWDY, DAVID WESLEY, SCHROEDER, LEE FREDERICK · 2019 to 2023
$3.4M
Improving early detection of yellow fever outbreaks: predicting risk and assessing diagnostic strategies in GhanaK08AI190125 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Seth David Judson · 2025 to 2026
$395k
NIAID NIH HHS K08 AI190125NIAID NIH HHS R01 AI136977
6 · The paper itself

Abstract

Yellow fever is a mosquito-borne viral hemorrhagic fever, and recent outbreaks of yellow fever have occurred in multiple African countries, including Ghana (2021-2022). Delayed diagnosis of yellow fever may cause increased morbidity and mortality. To improve timely detection of yellow fever, we need to better understand the factors contributing to diagnostic delays. We analyzed the diagnostic testing timeline of all suspected yellow fever cases in Ghana from 2018-2022. For these patients we calculated the days from symptom onset to specimen collection and arrival at the National Public Health and Reference Laboratory for testing. We compared these times to World Health Organization (WHO) metrics. For suspected yellow fever cases, the time from symptom onset to specimen arrival had a median of 10 days (interquartile range 6-17). 5892/6345 (93%) of specimens were collected within 14 days of symptom onset, and 2653/6471 (41%) of specimens arrived within 3 days of collection (WHO metrics). Overall, we find that the timing of yellow fever testing varies among districts in Ghana. While specimens are generally collected in a timely manner, delays in specimen arrival are common. Improving specimen transport for yellow fever and/or expanded testing could lead to more timely detection of outbreaks.

Identifiers

PMID41417847
PMCPMC12716688

What Socratic 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 Socratic graph.