Evidence map›Paper›PMID 35277427›Full record

ReviewBMJ global health2022

COVID-19 pandemic in Africa's island nations during the first 9 months: a descriptive study of variation in patterns of infection, severe disease, and response measures.

Timokleia Kousi, Daniela Vivacqua, Jyoti Dalal, Ananthu James, Daniel Cardoso Portela Câmara, Sara Botero Mesa, Cleophas Chimbetete, Benido Impouma, George Sie Williams, Franck Mboussou and 5 more

Abstract readReview
In one paragraph

Review 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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

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

15 authors.

Timokleia KousiGlobal Studies Institute, University of Geneva Faculty of Medicine, Geneve, Switzerland.ORCID 0000-0002-5724-0502
Daniela VivacquaThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneve, Switzerland.
Jyoti DalalThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneve, Switzerland.
Ananthu JamesThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneve, Switzerland.
Daniel Cardoso Portela CâmaraThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneve, Switzerland.ORCID 0000-0002-5439-4477
Sara Botero MesaGlobal Studies Institute, University of Geneva Faculty of Medicine, Geneve, Switzerland.
Cleophas ChimbeteteThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneve, Switzerland.
Benido ImpoumaWorld Health Organization Regional Office for Africa, Brazzaville, Congo.
George Sie WilliamsWorld Health Organization Regional Office for Africa, Brazzaville, Congo.
Franck MboussouWorld Health Organization Regional Office for Africa, Brazzaville, Congo.
Tamayi MlandaWorld Health Organization Regional Office for Africa, Brazzaville, Congo.
Arish BukhariWorld Health Organization Regional Office for Africa, Brazzaville, Congo.
Olivia KeiserGlobal Studies Institute, University of Geneva Faculty of Medicine, Geneve, Switzerland.
Jessica Lee AbbateThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneve, Switzerland jessie.abbate@gmail.com.ORCID 0000-0003-2485-3334
Cristina Barroso HoferThe Global Research and Analysis for Public Health (GRAPH) Network, Association Actions en Santé, Geneve, Switzerland.ORCID 0000-0001-8633-0913

Funding

World Health Organization 001
6 · The paper itself

Abstract

The geographic and economic characteristics unique to island nations create a different set of conditions for, and responses to, the spread of a pandemic compared with those of mainland countries. Here, we aimed to describe the initial period of the COVID-19 pandemic, along with the potential conditions and responses affecting variation in the burden of infections and severe disease burden, across the six island nations of the WHO's Africa region: Cabo Verde, Comoros, Madagascar, Mauritius, São Tomé e Príncipe and Seychelles. We analysed the publicly available COVID-19 data on confirmed cases and deaths from the beginning of the pandemic through 29 November 2020. To understand variation in the course of the pandemic in these nations, we explored differences in their economic statuses, healthcare expenditures and facilities, age and sex distributions, leading health risk factors, densities of the overall and urban populations and the main industries in these countries. We also reviewed the non-pharmaceutical response measures implemented nationally. We found that the burden of SARS-CoV-2 infection was reduced by strict early limitations on movement and biased towards nations where detection capacity was higher, while the burden of severe COVID-19 was skewed towards countries that invested less in healthcare and those that had older populations and greater prevalence of key underlying health risk factors. These findings highlight the need for Africa's island nations to invest more in healthcare and in local testing capacity to reduce the need for reliance on border closures that have dire consequences for their economies.

Indexed as

COVID-19Influenza, HumanDelivery of Health CareHumansPandemicsSARS-CoV-2COVID-19epidemiologyhealth systemsprevention strategiespublic health

Identifiers

PMID35277427
PMCPMC8919133

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.