Evidence map›Paper›PMID 33656721›Full record

ReviewAdvances in experimental medicine and biology2021

COVID-19 and Vulnerable Populations in Sub-Saharan Africa.

J A George, M R Maphayi, T Pillay

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Determinants of access to the SARS-CoV-2 vaccine: a preliminary approach.International journal for equity in health · 2021
    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

3 authors at 2 institutions in 1 country.

J A GeorgeDepartment of Chemical Pathology, National Health Laboratory Services, University of the Witwatersrand, Johannesburg, South Africa. jaya.anna.george@gmail.com.
M R MaphayiDepartment of Chemical Pathology, National Health Laboratory Services, University of the Witwatersrand, Johannesburg, South Africa.
T PillayDepartment of Chemical Pathology, National Health Laboratory Services, University of the Witwatersrand, Johannesburg, South Africa.
University of the Witwatersrand · ZANational Health Laboratory Service · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel corona virus 2019 (COVID-19) outbreak which started in Hubei province in China has now spread to every corner of the earth. While the pandemic started later in Africa, it is now found in all African countries to varying degrees. It is thought that the prevalence and severity of disease is influenced by a number of non-communicable diseases (NCDs) which are all becoming increasingly prevalent in sub-Saharan Africa (SSA). In addition, SSA bears the major burden of human immunodeficiency virus (HIV) and tuberculosis (TB) infections. While data from Europe and the United States show that children are spared severe disease, it is uncertain if the same holds true in SSA where children suffer from sickle cell disease and malnutrition in addition to other infectious diseases. There is limited data from Africa on the effects of these conditions on COVID-19. In this review, we discuss the epidemiology of some of these conditions in Africa and the possible pathogenesis for the interactions of these with COVID-19.

Indexed as

CoronavirusCOVID-19Africa South of the SaharaChildChinaEuropeHumansSARS-CoV-2United StatesVulnerable PopulationsCOVID-19DiabetesHIV tuberculosisHypertensionKidney diseaseObesityRisk factorsSARS-CoV-2

Identifiers

PMID33656721
OpenAlexW3134652007

What OpenQuestion holds

Textmetadata
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.