Evidence map›Paper›PMID 33597166›Full record

ArticleBMJ (Clinical research ed.)2021

Covid-19 deaths in Africa: prospective systematic postmortem surveillance study.

Lawrence Mwananyanda, Christopher J Gill, William MacLeod, Geoffrey Kwenda, Rachel Pieciak, Zachariah Mupila, Rotem Lapidot, Francis Mupeta, Leah Forman, Luunga Ziko and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 3 pooled it
17.8field-weighted citation impact, top 1% 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

118 citing papers in PubMed, 3 syntheses or guidelines pooled it, 215 citations in OpenAlex.

  1. Pooled it
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  4. Trial
  5. Article
  6. Genomic analysis ofbioRxiv : the preprint server for biology · 2026
    Article
  7. Rethinking the evidence on COVID-19 in Africa.The Lancet. Infectious diseases · 2025
    Review
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58 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Lawrence MwananyandaContributed equally.
Christopher J GillDepartment of Global Health, Boston University School of Public Health, Boston, MA 02118, USA.ORCID 0000-0003-3353-0617
William MacLeodDepartment of Global Health, Boston University School of Public Health, Boston, MA 02118, USA.
Geoffrey KwendaDepartment of Biomedical Sciences, University of Zambia, Lusaka, Zambia.
Rachel PieciakDepartment of Global Health, Boston University School of Public Health, Boston, MA 02118, USA.
Zachariah MupilaZPRIME Molecular Laboratory, University Teaching Hospital, Lusaka, Zambia.
Rotem LapidotDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA.
Francis MupetaDivision of Internal Medicine, Infectious Diseases Section, University Teaching Hospital, Lusaka, Zambia.
Leah FormanBiostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA.
Luunga ZikoDivision of Internal Medicine, Infectious Diseases Section, University Teaching Hospital, Lusaka, Zambia.
Lauren EtterDepartment of Global Health, Boston University School of Public Health, Boston, MA 02118, USA.
Donald TheaDepartment of Global Health, Boston University School of Public Health, Boston, MA 02118, USA.
Boston University · USUniversity Teaching Hospital · ZMUniversity of Zambia · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo directly measure the fatal impact of coronavirus disease 2019 (covid-19) in an urban African population.

designProspective systematic postmortem surveillance study.

settingZambia's largest tertiary care referral hospital.

participantsDeceased people of all ages at the University Teaching Hospital morgue in Lusaka, Zambia, enrolled within 48 hours of death.

main outcome measurePostmortem nasopharyngeal swabs were tested via reverse transcriptase quantitative polymerase chain reaction (PCR) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Deaths were stratified by covis-19 status, location, age, sex, and underlying risk factors.

results372 participants were enrolled between June and September 2020; PCR results were available for 364 (97.8%). SARS-CoV-2 was detected in 58/364 (15.9%) according to the recommended cycle threshold value of <40 and in 70/364 (19.2%) when expanded to any level of PCR detection. The median age at death among people with a positive test for SARS-CoV-2 was 48 (interquartile range 36-72) years, and 69% (n=48) were male. Most deaths in people with covid-19 (51/70; 73%) occurred in the community; none had been tested for SARS-CoV-2 before death. Among the 19/70 people who died in hospital, six were tested before death. Among the 52/70 people with data on symptoms, 44/52 had typical symptoms of covid-19 (cough, fever, shortness of breath), of whom only five were tested before death. Covid-19 was identified in seven children, only one of whom had been tested before death. The proportion of deaths with covid-19 increased with age, but 76% (n=53) of people who died were aged under 60 years. The five most common comorbidities among people who died with covid-19 were tuberculosis (22; 31%), hypertension (19; 27%), HIV/AIDS (16; 23%), alcohol misuse (12; 17%), and diabetes (9; 13%).

conclusionsContrary to expectations, deaths with covid-19 were common in Lusaka. Most occurred in the community, where testing capacity is lacking. However, few people who died at facilities were tested, despite presenting with typical symptoms of covid-19. Therefore, cases of covid-19 were under-reported because testing was rarely done not because covid-19 was rare. If these data are generalizable, the impact of covid-19 in Africa has been vastly underestimated.

Indexed as

AdultAgedAge DistributionAge FactorsAutopsyCOVID-19COVID-19 Nucleic Acid TestingFemaleHumansMaleMiddle AgedNasopharynxProspective StudiesRisk FactorsSARS-CoV-2Sex Factors

Identifiers

PMID33597166
PMCPMC7887952
OpenAlexW3132414593

What OpenQuestion holds

Textmetadata
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.