Evidence map›Paper›PMID 32513261›Full record

ArticleInternational journal for equity in health2020

Who is going to pay the price of Covid-19? Reflections about an unequal Brazil.

Fabiana Ribeiro, Anja Leist

Abstract readLetter
In one paragraph

Article in International journal for equity in health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. COVID-19 mortality in Brazil, 2020-21: consequences of the pandemic inadequate management.Archives of public health = Archives belges de sante publique · 2022
    Article
  4. Covid-19 Outbreak in Brazil: Health, Social, Political, and Economic Implications.International journal of health services : planning, administration, evaluation · 2022
    Review
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  16. Global perspective of COVID-19 epidemiology for a full-cycle pandemic.European journal of clinical investigation · 2020
    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

2 authors.

Fabiana RibeiroInstitute for Research on Socio-Economic Inequality (IRSEI), University of Luxembourg, Esch-sur-Alzette, Luxembourg. fabiana.ribeiro@uni.lu.ORCID 0000-0003-1826-5253
Anja LeistInstitute for Research on Socio-Economic Inequality (IRSEI), University of Luxembourg, Esch-sur-Alzette, Luxembourg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has caused high mortality rates among older people, and in order to avoid a healthcare system crisis, almost all countries worldwide have adopted social isolation measures to prevent the spread of the disease. However, in Brazil, a country demarcated by economic inequalities, in which approximately 25% of the population live below the poverty line, these measures will cost severe economic losses and accentuated starvation. For this reason, the underprivileged population should be immediately prioritized and well informed through good practice to avoid the virus. Since, government discrepancies in dealing with the COVID-19 outbreak leaves the population without congruent guidelines on how to react or what to believe, allowing the spread of fake news and political crises. Here, we discuss who will pay the price of the Brazilian government denying the impact of COVID-19 pandemic and suggest some measures to ensure that clear information and protection reach this population.

Indexed as

Health Status DisparitiesPandemicsBrazilCoronavirus InfectionsCOVID-19GovernmentHumansPneumonia, ViralPovertySocioeconomic FactorsCOVID-19Government discrepanciesLow-income population

Identifiers

PMID32513261
PMCPMC7278236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.