Evidence map›Paper›PMID 35418411›Full record

ArticleBMJ global health2022

An in-depth statistical analysis of the COVID-19 pandemic's initial spread in the WHO African region.

Ananthu James, Jyoti Dalal, Timokleia Kousi, Daniela Vivacqua, Daniel Cardoso Portela Câmara, Izabel Cristina Dos Reis, Sara Botero Mesa, Wignston Ng'ambi, Papy Ansobi, Lucas M Bianchi and 10 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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  9. COVID-19 impacts on healthcare access in sub-Saharan Africa: an overview.The journal of venomous animals and toxins including tropical diseases · 2023
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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

20 authors at 6 institutions in 7 countries.

Ananthu JamesDepartment of Chemical Engineering, Indian Institute of Science, Bangalore, Karnataka, India ananthu89jms@gmail.com.
Jyoti DalalThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.
Timokleia KousiThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.ORCID 0000-0002-5724-0502
Daniela VivacquaThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.
Daniel Cardoso Portela CâmaraThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.ORCID 0000-0002-5439-4477
Izabel Cristina Dos ReisThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.
Sara Botero MesaThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.
Wignston Ng'ambiThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.
Papy AnsobiThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.
Lucas M BianchiThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.
Theresa M LeeWorld Health Organization Regional Office for Africa, Brazzaville, Congo.
Opeayo OgundiranWorld Health Organization Regional Office for Africa, Brazzaville, Congo.
Beat StollInstitute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Cleophas ChimbeteteThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.
Franck MboussouWorld Health Organization Regional Office for Africa, Brazzaville, Congo.
Benido ImpoumaWorld Health Organization Regional Office for Africa, Brazzaville, Congo.
Cristina Barroso HoferThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.ORCID 0000-0001-8633-0913
Flávio Codeço CoelhoThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.
Olivia KeiserThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.
Jessica Lee AbbateThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneva, Switzerland.ORCID 0000-0003-2485-3334
Département de la Santé et de l'Action Sociale · CHUniversity of Geneva · CHWorld Health Organization Regional Office for Africa · CGUniversidade Federal do Rio de Janeiro · BRUniversité de Montpellier · FRUniversity of Kinshasa · CD

Funding

World Health Organization 001
6 · The paper itself

Abstract

During the first wave of the COVID-19 pandemic, sub-Saharan African countries experienced comparatively lower rates of SARS-CoV-2 infections and related deaths than in other parts of the world, the reasons for which remain unclear. Yet, there was also considerable variation between countries. Here, we explored potential drivers of this variation among 46 of the 47 WHO African region Member States in a cross-sectional study. We described five indicators of early COVID-19 spread and severity for each country as of 29 November 2020: delay in detection of the first case, length of the early epidemic growth period, cumulative and peak attack rates and crude case fatality ratio (CFR). We tested the influence of 13 pre-pandemic and pandemic response predictor variables on the country-level variation in the spread and severity indicators using multivariate statistics and regression analysis. We found that wealthier African countries, with larger tourism industries and older populations, had higher peak (p<0.001) and cumulative (p<0.001) attack rates, and lower CFRs (p=0.021). More urbanised countries also had higher attack rates (p<0.001 for both indicators). Countries applying more stringent early control policies experienced greater delay in detection of the first case (p<0.001), but the initial propagation of the virus was slower in relatively wealthy, touristic African countries (p=0.023). Careful and early implementation of strict government policies were likely pivotal to delaying the initial phase of the pandemic, but did not have much impact on other indicators of spread and severity. An over-reliance on disruptive containment measures in more resource-limited contexts is neither effective nor sustainable. We thus urge decision-makers to prioritise the reduction of resource-based health disparities, and surveillance and response capacities in particular, to ensure global resilience against future threats to public health and economic stability.

Indexed as

COVID-19PandemicsCross-Sectional StudiesHumansSARS-CoV-2World Health OrganizationCOVID-19cross-sectional surveyepidemiologymathematical modellingpublic health

Identifiers

PMID35418411
PMCPMC9013786
OpenAlexW4225771427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.