Evidence map›Paper›PMID 41022773›Full record

ArticleScientific data2025

Dataset on Brazilian Municipal Health Policies During the COVID-19 Pandemic.

Andreza Aruska de Souza Santos, João Gabriel Ribeiro Pessanha Leal, Ester C Sabino, Nuno R Faria

Abstract readDataset
In one paragraph

Article in Scientific data, 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. 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.

Andreza Aruska de Souza SantosKing's Brazil Institute, School of Global Affairs, King's College London, London, UK. Andreza.souza_santos@kcl.ac.uk.ORCID 0000-0003-3585-8683
João Gabriel Ribeiro Pessanha LealEscola de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Ester C SabinoInstituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Nuno R FariaInstituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brazil was severely affected by COVID-19, in terms of both the number of infections and deaths. Part of the complexity and mismanagement of health measures in Brazil stemmed from the lack of nationwide policies, leaving local governments to play the key role in implementing pharmaceutical and non-pharmaceutical interventions. This fragmented response, with different health policies across 5,568 municipalities, posed significant challenges for researchers analysing dispersed data. This study consolidates information from 37 surveys conducted between 23 March 2021 and 24 March 2022 with mayors and health secretaries of Brazilian municipalities. The surveys, conducted by the Brazilian Confederation of Municipalities, achieved response rates ranging from 23.8% to 64.49%. Questions varied to address key epidemiological issues, including vaccination efforts, ICU bed availability, oxygen supplies, and restrictive measures. Disparities in response rates highlight Brazil's regional and municipal size inequalities. This dataset, with 235 questions, provides essential insights into local governance, contributing to the study of outbreak management in contexts of inequality and political asymmetry.

Indexed as

COVID-19Health PolicyBrazilCitiesHumansLocal GovernmentPandemicsSARS-CoV-2

Identifiers

PMID41022773
PMCPMC12479738

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.