Evidence map›Paper›PMID 34392872›Full record

ArticleEpidemiology and infection2021

Analysing the reported incidence of COVID-19 and factors associated in the World Health Organization African region as of 31 December 2020.

Franck Mboussou, Benido Impouma, Bridget Farham, Caitlin M Wolfe, George Sie Williams, Roland Ngom, Milse Nzingou, Aziza Merzouki, Erol Orel, Yahaya Ali Ahmed and 2 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 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. Article
  4. Article
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

12 authors.

Franck MboussouWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.ORCID 0000-0002-9062-5084
Benido ImpoumaWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.ORCID 0000-0001-6363-7146
Bridget FarhamWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.ORCID 0000-0001-5463-0858
Caitlin M WolfeWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
George Sie WilliamsWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.ORCID 0000-0001-7764-0629
Roland NgomWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Milse NzingouWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Aziza MerzoukiCollege of Public Health, University of South Florida, Tampa, Florida, USA.
Erol OrelCollege of Public Health, University of South Florida, Tampa, Florida, USA.
Yahaya Ali AhmedWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Olivia KeiserCollege of Public Health, University of South Florida, Tampa, Florida, USA.
Matshidiso R MoetiWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.

Funding

World Health Organization 001
6 · The paper itself

Abstract

This study analysed the reported incidence of COVID-19 and associated epidemiological and socio-economic factors in the WHO African region. Data from COVID-19 confirmed cases and SARS-CoV-2 tests reported to the WHO by Member States between 25 February and 31 December 2020 and publicly available health and socio-economic data were analysed using univariate and multivariate binomial regression models. The overall cumulative incidence was 1846 cases per million population. Cape Verde (21 350 per million), South Africa (18 060 per million), Namibia (9840 per million), Eswatini (8151 per million) and Botswana (6044 per million) recorded the highest cumulative incidence, while Benin (260 per million), Democratic Republic of Congo (203 per million), Niger (141 cases per million), Chad (133 per million) and Burundi (62 per million) recorded the lowest. Increasing percentage of urban population (β = -0.011, P = 0.04) was associated with low cumulative incidence, while increasing number of cumulative SARS-CoV-2 tests performed per 10 000 population (β = 0.0006, P = 0.006) and the proportion of population aged 15-64 years (adjusted β = 0.174, P < 0.0001) were associated with high COVID-19 cumulative incidence. With limited testing capacities and overwhelmed health systems, these findings highlight the need for countries to increase and decentralise testing capacities and adjust testing strategies to target most at-risk populations.

Indexed as

SARS-CoV-2World Health OrganizationAdolescentAdultAfricaCOVID-19HumansIncidenceLogistic ModelsMiddle AgedMultivariate AnalysisRetrospective StudiesTime FactorsYoung AdultAfrican regionCOVID-19incidence

Identifiers

PMID34392872
PMCPMC8712961

What OpenQuestion holds

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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.