Evidence map›Paper›PMID 40627611›Full record

ArticlePloS one2025

Effect of COVID-19 vaccination on the incidence, lethality and mortality of pregnant and postpartum women.

Marcela de Andrade Pereira Silva, Fernando Castilho Pelloso, Maria Dalva de Barros Carvalho, Rosana Rosseto de Oliveira, Constanza Pujals, Stéfane Lele Rossoni, Natan Nascimento de Oliveira, Mirella Machado Ortiz Modesto, Deise Helena Pelloso Borghesan, Ana Carolina Jacinto Alarcão and 5 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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.

Marcela de Andrade Pereira SilvaPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.ORCID https://orcid.org/0000-0002-2091-5975
Fernando Castilho PellosoCuritiba Health Department, Curitiba, Paraná, Brazil.ORCID https://orcid.org/0000-0001-6233-3968
Maria Dalva de Barros CarvalhoPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Rosana Rosseto de OliveiraPostgraduate Program in Nursing, State University of Maringá, Maringá, Paraná, Brazil.
Constanza PujalsPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Stéfane Lele RossoniPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.ORCID https://orcid.org/0009-0005-1906-1203
Natan Nascimento de OliveiraPostgraduate Program in Nursing, State University of Maringá, Maringá, Paraná, Brazil.
Mirella Machado Ortiz ModestoPostgraduate Program in Nursing, State University of Maringá, Maringá, Paraná, Brazil.
Deise Helena Pelloso BorghesanAesthetics department, Union of Catholic Colleges of Mato Grosso, Várzea Grande, Mato Grosso, Brazil.
Ana Carolina Jacinto AlarcãoPsychology department, Paraná Adventist College, Ivatuba, Paraná, Brazil.
Vlaudimir Dias MarquesRegional University Hospital of Maringá, Maringá, Paraná, Brazil.
Marcia Edilaine Lopes ConsolaroPostgraduate Program in Biosciences and Physiology, State University of Maringá, Maringá, Paraná, Brazil.
Camila Wohlenberg CamparotoPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Helena Fiats RibeiroPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.
Sandra Marisa PellosoPostgraduate Program in Health Sciences, State University of Maringá, Maringá, Paraná, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyze the incidence of Severe Acute Respiratory Syndrome (SARS), lethality and mortality of Brazilian pregnant and postpartum women infected with SARS-CoV-2, before and after vaccination against Covid-19.

methodsThis is an ecological study of time series, carried out with secondary data from the Brazilian Ministry of Health, from March 2020 to April 2024. Slopes and trend changes in the time series were identified by Mann-Kendall and generalized fluctuation tests, respectively. The series was modeled using Generalized Additive Models with interaction between time and start of vaccination. A Pearson correlation was used between the number of accumulated doses and the incidence, lethality and mortality rates, in addition to comparing the average rates before and after the vaccination peak of the first dose using ANOVA.

resultsSignificant temporal variations were observed in the incidence rates of SARS, lethality and mortality in pregnant and postpartum women with SARS-CoV-2, before and after vaccination against Covid-19 in Brazil, with a significant decreasing trend after the start of vaccination. It was observed that time alone did not show a significant effect on the reduction of lethality and mortality rates, which occurred only when there was an interaction effect between time and the start of vaccination. The accumulated doses of the vaccine correlated with the decrease in the analyzed rates, which explained 39.18% of variation in the incidence rate, 43.34% in the lethality rate, and 34.81% in the mortality rate. The monthly averages of the incidence, lethality, and mortality rates before and after vaccination reduced significantly.

conclusionsThe findings of this study indicate that vaccination against Covid-19 in Brazilian pregnant and postpartum women had a positive effect on reducing the incidence of SARS by SARS-CoV-2, lethality and mortality rates in the obstetric population.

Indexed as

COVID-19COVID-19 VaccinesPregnancy Complications, InfectiousAdultBrazilFemaleHumansIncidencePostpartum PeriodPregnancySARS-CoV-2VaccinationCOVID-19 Vaccines

Identifiers

PMID40627611
PMCPMC12237056

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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.