Evidence map›Paper›PMID 34732273›Full record

ArticleEpidemiology and infection2021

Estimating the SARS-CoV2 infections detection rate and cumulative incidence in the World Health Organization African Region 10 months into the pandemic.

Benido Impouma, Franck Mboussou, Cyrus Shahpar, Caitlin M Wolfe, Bridget Farham, George Sie Williams, Humphrey Karamagi, Roland Ngom, Ngoy Nsenga, Antoine Flahault and 4 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

14 authors.

Benido ImpoumaWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.ORCID 0000-0001-6363-7146
Franck MboussouWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Cyrus ShahparResolve to Save Lives, New York, New York, USA.
Caitlin M WolfeWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Bridget FarhamWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.ORCID 0000-0001-5463-0858
George Sie WilliamsWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.ORCID 0000-0001-7764-0629
Humphrey KaramagiWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Roland NgomWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Ngoy NsengaWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Antoine FlahaultInstitute of Global Health, University of Geneva, Geneva, Switzerland.
Cláudia Torres CodeçoFundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Zabulon YotiWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Francis KasoloWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Olivia KeiserInstitute of Global Health, University of Geneva, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

As of 03 January 2021, the WHO African region is the least affected by the coronavirus disease-2019 (COVID-19) pandemic, accounting for only 2.4% of cases and deaths reported globally. However, concerns abound about whether the number of cases and deaths reported from the region reflect the true burden of the disease and how the monitoring of the pandemic trajectory can inform response measures.We retrospectively estimated four key epidemiological parameters (the total number of cases, the number of missed cases, the detection rate and the cumulative incidence) using the COVID-19 prevalence calculator tool developed by Resolve to Save Lives. We used cumulative cases and deaths reported during the period 25 February to 31 December 2020 for each WHO Member State in the region as well as population data to estimate the four parameters of interest. The estimated number of confirmed cases in 42 countries out of 47 of the WHO African region included in this study was 13 947 631 [95% confidence interval (CI): 13 334 620-14 635 502] against 1 889 512 cases reported, representing 13.5% of overall detection rate (range: 4.2% in Chad, 43.9% in Guinea). The cumulative incidence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was estimated at 1.38% (95% CI: 1.31%-1.44%), with South Africa the highest [14.5% (95% CI: 13.9%-15.2%)] and Mauritius [0.1% (95% CI: 0.099%-0.11%)] the lowest. The low detection rate found in most countries of the WHO African region suggests the need to strengthen SARS-CoV-2 testing capacities and adjusting testing strategies.

Indexed as

SARS-CoV-2AfricaAgedCOVID-19HumansIncidenceMiddle AgedRetrospective StudiesTime FactorsWorld Health OrganizationCOVID-19cumulative incidencedetection rateSARS-CoV-2

Identifiers

PMID34732273
PMCPMC8712927

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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.