Evidence map›Paper›PMID 32921332›Full record

ArticleEpidemiology and infection2020

Spreading of SARS-CoV-2 in West Africa and assessment of risk factors.

B Tinto, S Salinas, A Dicko, T S Kagone, I Traore, N de Rekeneire, B W Bicaba, H Hien, N Meda, P van de Perre and 2 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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.

B TintoLaboratoire National de Référence des Fièvres Hémorragiques Virales, Centre MURAZ, Institut National de Santé Publique (INSP), Bobo-Dioulasso, Burkina Faso.ORCID 0000-0002-6101-8058
S SalinasPathogenesis and Control of Chronic Infections, Université de Montpellier, INSERM, EFS, Montpellier, France.
A DickoLaboratoire Central de Référence, INSP, Ouagadougou, Burkina Faso.
T S KagoneLaboratoire National de Référence des Fièvres Hémorragiques Virales, Centre MURAZ, Institut National de Santé Publique (INSP), Bobo-Dioulasso, Burkina Faso.
I TraoreLaboratoire National de Référence des Fièvres Hémorragiques Virales, Centre MURAZ, Institut National de Santé Publique (INSP), Bobo-Dioulasso, Burkina Faso.
N de RekeneireCentre Muraz, INSP, Bobo-Dioulasso, Burkina Faso.
B W BicabaCentre des Opérations de Réponse aux Urgences Sanitaires (CORUS), INSP, Ouagadougou, Burkina Faso.
H HienINSP, Ouagadougou, Burkina Faso.
N MedaUFR/SDS, Université Ouaga I Professeur Joseph KI-ZERBO, Ouagadougou, Burkina Faso.
P van de PerrePathogenesis and Control of Chronic Infections, Université de Montpellier, INSERM, EFS, Montpellier, France.
D KaniaLaboratoire National de Référence des Fièvres Hémorragiques Virales, Centre MURAZ, Institut National de Santé Publique (INSP), Bobo-Dioulasso, Burkina Faso.
Y SimoninPathogenesis and Control of Chronic Infections, Université de Montpellier, INSERM, EFS, Montpellier, France.ORCID 0000-0002-3475-1369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the African continent is, for the moment, less impacted than the rest of the world, it still faces the risk of a spread of COVID-19. In this study, we have conducted a systematic review of the information available in the literature in order to provide an overview of the epidemiological and clinical features of COVID-19 pandemic in West Africa and of the impact of risk factors such as comorbidities, climatic conditions and demography on the pandemic. Burkina Faso is used as a case study to better describe the situation in West Africa. The epidemiological situation of COVID-19 in West Africa is marked by a continuous increase in the numbers of confirmed cases. This geographic area had on 29 July 2020, 131 049 confirmed cases by polymerase chain reaction, 88 305 recoveries and 2102 deaths. Several factors may influence the SARS-CoV-2 circulation in Africa: (i) comorbidities: diabetes mellitus and high blood pressure could lead to an increase in the number of severe cases of SARS-CoV-2; (ii) climatic factors: the high temperatures could be a factor contributing to slow the spread of the virus and (iii) demography: the West Africa population is very young and this could be a factor limiting the occurrence of severe forms of SARS-CoV-2 infection. Although the spread of the SARS-CoV-2 epidemic in West Africa is relatively slow compared to European countries, vigilance must remain. Difficulties in access to diagnostic tests, lack of hospital equipment, but also the large number of people working in the informal sector (such as trading, businesses, transport and restoration) makes it difficult to apply preventive measures, namely physical distancing and containment.

Indexed as

BetacoronavirusAdolescentAdultAfrica, WesternAgedAged, 80 and overCase ManagementChildChild, PreschoolClimateComorbidityCoronavirus InfectionsCOVID-19FemaleHumansInfantCOVID-19risk factorSARS-CoV-2spreadingWest Africa

Identifiers

PMID32921332
PMCPMC7506176

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.