Evidence map›Paper›PMID 33966683›Full record

ArticleEpidemiology and infection2021

COVID-19 in the WHO African region: using risk assessment to inform decisions on public health and social measures.

Benido Impouma, Franck Mboussou, Caitlin M Wolfe, Bridget Farham, George Sie Williams, Opeayo Ogundiran, Roland Ngom, Milse Nzingou, Antoine Flahault, Cláudia Torres Codeço and 3 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. COVID-19 Pandemic Risk Assessment: Systematic Review.Risk management and healthcare policy · 2024
    Review
  5. 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

13 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.
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
Opeayo OgundiranWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Roland NgomWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Milse NzingouWorld 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.
Ambrose TalisunaWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Zabulon YotiWorld 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

Successive waves of COVID-19 transmission have led to exponential increases in new infections globally. In this study, we have applied a decision-making tool to assess the risk of continuing transmission to inform decisions on tailored public health and social measures (PHSM) using data on cases and deaths reported by Member States to the WHO Regional Office for Africa as of 31 December 2020. Transmission classification and health system capacity were used to assess the risk level of each country to guide implementation and adjustments to PHSM. Two countries out of 46 assessed met the criteria for sporadic transmission, one for clusters of cases, and 43 (93.5%) for community transmission (CT) including three with uncontrolled disease incidence (Eswatini, Namibia and South Africa). Health system response's capacities were assessed as adequate in two countries (4.3%), moderate in 13 countries (28.3%) and limited in 31 countries (64.4%). The risk level, calculated as a combination of transmission classification and health system response's capacities, was assessed at level 0 in one country (2.1%), level 1 in two countries (4.3%), level 2 in 11 countries (23.9%) and level 3 in 32 (69.6%) countries. The scale of severity ranged from 0 to 4, with 0 the lowest. CT coupled with limited response capacity resulted in a level 3 risk assessment in most countries. Countries at level 3 should be considered as priority focus for additional assistance, in order to prevent the risk rising to level 4, which may necessitate enforcing hard and costly lockdown measures. The large number of countries at level 3 indicates the need for an effective risk management system to be used as a basis for adjusting PHSM at national and sub-national levels.

Indexed as

Decision MakingSARS-CoV-2World Health OrganizationAfricaCOVID-19Delivery of Health CareHumansPublic Health AdministrationRisk AssessmentCOVID-19risk of spreadWHO African region

Identifiers

PMID33966683
PMCPMC8712964

What OpenQuestion holds

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LicenceCC BY
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.