Evidence map›Paper›PMID 34678196›Full record

ArticleThe Lancet. Global health2021

Seroepidemiology and model-based prediction of SARS-CoV-2 in Ethiopia: longitudinal cohort study among front-line hospital workers and communities.

Esayas Kebede Gudina, Solomon Ali, Eyob Girma, Addisu Gize, Birhanemeskel Tegene, Gadissa Bedada Hundie, Wondewosen Tsegaye Sime, Rozina Ambachew, Alganesh Gebreyohanns, Mahteme Bekele and 8 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 7% of its field
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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
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  7. Rethinking the evidence on COVID-19 in Africa.The Lancet. Infectious diseases · 2025
    Review
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  15. Characterizing the evolving SARS-CoV-2 seroprevalence in urban and rural Malawi between February 2021 and April 2022: A population-based cohort study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 2 countries.

Esayas Kebede GudinaJimma University Institute of Health, Jimma, Ethiopia. Electronic address: esayas.gudina@ju.edu.et.
Solomon AliSaint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Eyob GirmaJimma University Institute of Health, Jimma, Ethiopia.
Addisu GizeSaint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Birhanemeskel TegeneSaint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Gadissa Bedada HundieSaint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Wondewosen Tsegaye SimeSaint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Rozina AmbachewSaint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Alganesh GebreyohannsSaint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Mahteme BekeleSaint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Abhishek BakuliDivision of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany; German Center for Infection Research, partner site Munich, Munich, Germany.
Kira ElsberndDivision of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology-IBE, Ludwig Maximilian University of Munich, Munich, Germany.
Simon MerktFaculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany.
Lorenzo ContentoFaculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany.
Michael HoelscherDivision of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany; German Center for Infection Research, partner site Munich, Munich, Germany.
Jan HasenauerInstitute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Center for Mathematics, Technische Universität München, Garching, Germany; Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany.
Andreas WieserDivision of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany; German Center for Infection Research, partner site Munich, Munich, Germany.
Arne KroidlDivision of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany; German Center for Infection Research, partner site Munich, Munich, Germany.
St. Paul's Hospital Millennium Medical College · ETGerman Center for Infection Research · DEUniversity of Bonn · DEJimma University · ETLudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver 1 year since the first reported case, the true COVID-19 burden in Ethiopia remains unknown due to insufficient surveillance. We aimed to investigate the seroepidemiology of SARS-CoV-2 among front-line hospital workers and communities in Ethiopia.

methodsWe did a population-based, longitudinal cohort study at two tertiary teaching hospitals involving hospital workers, rural residents, and urban communities in Jimma and Addis Ababa. Hospital workers were recruited at both hospitals, and community participants were recruited by convenience sampling including urban metropolitan settings, urban and semi-urban settings, and rural communities. Participants were eligible if they were aged 18 years or older, had provided written informed consent, and were willing to provide blood samples by venepuncture. Only one participant per household was recruited. Serology was done with Elecsys anti-SARS-CoV-2 anti-nucleocapsid assay in three consecutive rounds, with a mean interval of 6 weeks between tests, to obtain seroprevalence and incidence estimates within the cohorts.

findingsBetween Aug 5, 2020, and April 10, 2021, we did three survey rounds with a total of 1104 hospital workers and 1229 community residents participating. SARS-CoV-2 seroprevalence among hospital workers increased strongly during the study period: in Addis Ababa, it increased from 10·9% (95% credible interval [CrI] 8·3-13·8) in August, 2020, to 53·7% (44·8-62·5) in February, 2021, with an incidence rate of 2223 per 100 000 person-weeks (95% CI 1785-2696); in Jimma Town, it increased from 30·8% (95% CrI 26·9-34·8) in November, 2020, to 56·1% (51·1-61·1) in February, 2021, with an incidence rate of 3810 per 100 000 person-weeks (95% CI 3149-4540). Among urban communities, an almost 40% increase in seroprevalence was observed in early 2021, with incidence rates of 1622 per 100 000 person-weeks (1004-2429) in Jimma Town and 4646 per 100 000 person-weeks (2797-7255) in Addis Ababa. Seroprevalence in rural communities increased from 18·0% (95% CrI 13·5-23·2) in November, 2020, to 31·0% (22·3-40·3) in March, 2021.

interpretationSARS-CoV-2 spread in Ethiopia has been highly dynamic among hospital worker and urban communities. We can speculate that the greatest wave of SARS-CoV-2 infections is currently evolving in rural Ethiopia, and thus requires focused attention regarding health-care burden and disease prevention.

fundingBavarian State Ministry of Sciences, Research, and the Arts; Germany Ministry of Education and Research; EU Horizon 2020 programme; Deutsche Forschungsgemeinschaft; and Volkswagenstiftung.

Indexed as

AdultCOVID-19EthiopiaFemaleHumansLongitudinal StudiesMaleMiddle AgedModels, StatisticalPersonnel, HospitalResidence CharacteristicsSeroepidemiologic StudiesYoung Adult

Identifiers

PMID34678196
PMCPMC8525918
OpenAlexW3206284632

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.