Evidence map›Paper›PMID 38920752›Full record

ArticleEpidemiologia (Basel, Switzerland)2024

Comparative Analysis of Epidemiological Outcome of Incidence, Mortality and Lethality by COVID-19 between the States of Espírito Santo and Minas Gerais, Brazil.

Leonardo Gomes da Silva, Italla Maria Pinheiro Bezerra, Gabriella Lima Santos, Luiz Carlos de Abreu

Abstract read
In one paragraph

Article in Epidemiologia (Basel, Switzerland), 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Leonardo Gomes da SilvaStudy Design and Scientific Writing Laboratory, Federal University of Espírito Santo (UFES), Vitória 29043-900, Brazil.ORCID 0000-0002-1820-8075
Italla Maria Pinheiro BezerraPostgraduate Program in Public Policies and Local Development, School of Sciences of Santa Casa de Misericórdia de Vitória (EMESCAM), Vitória 29045-402, Brazil.ORCID 0000-0002-8604-587X
Gabriella Lima SantosStudy Design and Scientific Writing Laboratory, Federal University of Espírito Santo (UFES), Vitória 29043-900, Brazil.
Luiz Carlos de AbreuStudy Design and Scientific Writing Laboratory, Federal University of Espírito Santo (UFES), Vitória 29043-900, Brazil.ORCID 0000-0002-7618-2109

Funding

Espírito Santo Foundation for Research and Innovation (Fapes) Fapes Notice No. 18/2023 -Publication of Technical-Scientific Articles - 3rd Cycle.
6 · The paper itself

Abstract

At the beginning of December 2019, a new type of coronavirus emerged, SARS-CoV-2. This virus causes COVID-19, a highly contagious disease that can initially present asymptomatically and can also lead to death. Our ecological study goal was to evaluate the incidence, mortality, and lethality rates for COVID-19 between the states of Espírito Santo and Minas Gerais, with time series analysis using secondary and public databases on COVID-19 from January 2020 to December 2022. Prais-Winsten linear regression was used for trend analyses. In 2020, the rate in Espírito Santo was 2.19 times greater than in Minas Gerais. This trend continued in 2021, with Espírito Santo's rate being 1.29 times greater. In 2022, Espírito Santo's rate remained 2.65 times higher than Minas Gerais. Furthermore, Espírito Santo had the highest mortality, with the exception of 2021. In turn, Minas Gerais had the highest fatality rate throughout the analyzed pandemic period. The state of Espírito Santo had a higher incidence of COVID-19, as well as higher mortality when compared to the state of Minas Gerais. Furthermore, both states showed similar trends for mortality, lethality, and incidence in the years 2020 and 2021.

Indexed as

coronavirusCOVID-19incidencelethalitymortality

Identifiers

PMID38920752
PMCPMC11202499

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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.