Evidence map›Paper›PMID 38686134›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2024

[Space-time heterogeneity of measles, mumps, and rubella vaccination indicators in children from BrazilHeterogeneidad espaciotemporal de los indicadores de inmunización con la vacuna triple viral en la población infantil de Brasil].

Lívia de Lima Moura, Mercedes Neto, Reinaldo Souza-Santos

Abstract readEnglish Abstract
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2024. 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. 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.

Lívia de Lima MouraEscola Nacional de Saúde Pública Sergio Arouca (ENSP) Programa de Pós-Graduação em Epidemiologia em Saúde Pública Rio de Janeiro (RJ) Brasil Escola Nacional de Saúde Pública Sergio Arouca (ENSP), Programa de Pós-Graduação em Epidemiologia em Saúde Pública, Rio de Janeiro (RJ), Brasil.
Mercedes NetoUniversidade do Estado do Rio de Janeiro (UERJ) Departamento de Enfermagem de Saúde Pública Rio de Janeiro (RJ) Brasil Universidade do Estado do Rio de Janeiro (UERJ), Departamento de Enfermagem de Saúde Pública, Rio de Janeiro (RJ), Brasil.
Reinaldo Souza-SantosEscola Nacional de Saúde Pública Sergio Arouca (ENSP) Departamento de Endemias Samuel Pessoa Rio de Janeiro (RJ) Brasil Escola Nacional de Saúde Pública Sergio Arouca (ENSP), Departamento de Endemias Samuel Pessoa, Rio de Janeiro (RJ), Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate immunization coverage and dropout rates of the measles, mumps, and rubella vaccine across Brazilian regions. Methods: This ecological study employing a space-time approach used data from the National Immunization Program (PNI) and the Live Births Information System (SINASC). We estimated the annual variation (2014 to 2021) in immunization coverage and dropout rate of the measles, mumps, and rubella vaccine in children aged 12 and 15 months in the 5 570 Brazilian municipalities. Statistical analysis was conducted for the municipalities contained in each Brazilian region using the space-time scan technique, considering the Poisson probabilistic model and the hypothesis that municipalities with lower immunization coverage or high dropout rates would form space-time clusters. Results: From 2014 to 2021, 38.3% and 12.9% of municipalities achieved a coverage ≥ 95.0% in the first and second doses respectively; 53.6% of municipalities had a high dropout rate (20.0% to 49.9%) and 37.2% had a very high dropout rate. The Northeast region had primary clusters for low coverage of the first (2018 to 2021) and second vaccine doses (2020 to 2021) with higher relative risks (RR) compared to other primary clusters. The RR for high dropout rate was elevated in all Brazilian regions (1.57 to 26.23). Conclusions: In some Brazilian regions, the dropout rate has been high since 2014, signaling a risk of measles resurgence. In turn, space-time analysis indicated lower vaccination coverage in 2020, suggesting the influence of the COVID-19 pandemic.

Indexed as

BrazilImmunization programsimmunization schedulespatio-temporal analysis

Identifiers

PMID38686134
PMCPMC11053372

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.