Evidence map›Paper›PMID 33188656›Full record

ArticleTransboundary and emerging diseases2021

Impact of COVID-19 in Minas Gerais, Brazil: Excess deaths, sub-notified cases, geographic and ethnic distribution.

Paulo H R Amaral, Lidia M Andrade, Flavio G da Fonseca, Juan Carlos González Perez

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. How many more? Under-reporting of the COVID-19 deaths in Brazil in 2020.Tropical medicine & international health : TM & IH · 2021
    Article
  4. 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

4 authors.

Paulo H R AmaralDepartamento de Fisica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Lidia M AndradeDepartamento de Fisica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0003-2594-4617
Flavio G da FonsecaDepartamento de Microbiologia, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-1416-8694
Juan Carlos González PerezDepartamento de Fisica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0001-9155-1657

Funding

Conselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de Minas Gerais
6 · The paper itself

Abstract

By analysing the evolution of the COVID-19 epidemic in the state of Minas Gerais, Brazil, we showed the importance of considering the sub-notification not only of deaths but also of infected cases. It was shown that the largely used criteria of a historical all-deaths baseline are not approachable in this case, where most of the deaths are associated with causes that should decrease due to social distancing and reduction of economic activities. A quite simple and intuitive model based on the Gompertz function was applied to estimate excess deaths and excess of infected cases. It fits well the data and predicts the evolution of the epidemic adequately. Based on these analyses, an excess of 21.638 deaths and 557.216 infected cases is predicted until the end of 2020, with an upper bound of the case fatality rate of around 2.4% and a prevalence of 2.6%. The geographical distribution of cases and deaths and its ethnic correlation are also presented. This study points out the necessity of governmental and private organizations working together to improve public awareness and stimulate social distancing to curb the viral infection, especially in critical places with high poverty.

Indexed as

COVID-19AnimalsBrazilEpidemicsPrevalenceSARS-CoV-2COVID-19ethnic distributionGompertz functionMinas Geraissub-notification

Identifiers

PMID33188656
PMCPMC7753555

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.