Evidence map›Paper›PMID 40703157›Full record

ArticleFrontiers in public health2025

Clinical and epidemiological characteristics of influenza and SARS-CoV-2 virus among patients with acute febrile illness in selected sites of Ethiopia 2021-2022.

Musse Tadesse Chekol, David Sugerman, Adamu Tayachew, Zelalem Mekuria, Neamin Tesfaye, Aynalem Alemu, Andargachew Gashu, Wolde Shura, Melaku Gonta, Admikew Agune and 10 more

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Musse Tadesse ChekolPublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
David SugermanU.S. Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States.
Adamu TayachewPublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Zelalem MekuriaGlobal One Health Initiative (GOHi), Ohio State University, Columbus, OH, United States.
Neamin TesfayePublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Aynalem AlemuPublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Andargachew GashuPublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Wolde ShuraPublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Melaku GontaPublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Admikew AgunePublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Aster HailemariamPublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Yonas AssefaPublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Mesfin WossenPublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Abdulhafiz HassenPublic Health Emergency Management Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Parsons MicheleU.S. Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States.
Rachel SilverU.S. Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States.
Hulemenaw DelelegnU.S. Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States.
Lozano BrianaU.S. Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States.
Tesfu KasaAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Nigatu KebedeAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Viral respiratory pathogens have become the leading cause of acute undifferentiated febrile illness (AFI). We determined the fraction of AFI attributable to influenza and SARS-CoV-2 in Ethiopia, along with an understanding of their epidemiological characteristics. Methods: From February 2021 to June 2022, we enrolled patients meeting an AFI case definition (age >5 years with fever ≥38°C) who presented at one of four selected sentinel hospital sites in Jimma, Harari, Addis Ababa, and Gonder. Clinical and epidemiological information was collected, Nasopharyngeal swab samples were collected and analyzed using real-time PCR for respiratory viruses (influenza and SARS-CoV-2). A quasi-binomial regression model and multivariable regression were performed to compute fractions and establish associations with the agent detected. Result: A total of 737 AFI cases were enrolled. The overall proportion of SARS-CoV-2, influenza A, and influenza B among AFI patients were 7.8, 1.9, and 0.5 per 100,000 population, respectively. Among the enrolled AFI cases tested for SARS-CoV-2 and Influenza virus, SARS-CoV-2 was the most detected pathogen with a positivity rate of 13.7% (95% CI:11.3-16.4), followed by influenza A and influenza B, which have a positivity rate of 3.3% (95% CI: 2.2-5.1) and 0.8% (95% CI:0.3-1.8), respectively. The positivity rate of SARS-CoV-2 peaked at 37.4% in September 2021. Per the multivariable analysis, cases ≥65 years of age were three [AOR = 3.3,95% CI:(1.9-5.7)] times more likely to be positive for SARS-CoV-2. Conclusion: SARS-CoV-2 and influenza viruses were highly prevalent among AFI cases. The proportion of SARS-CoV-2 was higher among older adults. Further study is recommended to characterize influenza subtypes, SARS-CoV-2 variants and determine their attributable fraction among a broader panel of AFI-causing pathogens that contributes for guiding the proper diagnostics, treatment and surveillance measures.

Indexed as

COVID-19FeverInfluenza, HumanAdolescentAdultAgedChildChild, PreschoolEthiopiaFemaleHumansMaleMiddle AgedSARS-CoV-2Young AdultAFIEthiopiainfluenza virusproportionSARS-CoV-2

Identifiers

PMID40703157
PMCPMC12283578

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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.