Dataset on Brazilian municipal health policies during the COVID-19 pandemic
File(s)
Published version
Author(s)
de Souza Santos, Andreza Aruska
Ribeiro Pessanha Leal, Joao Gabriel
Sabino, Ester C
Faria, Nuno R
Type
Journal Article
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.
Date Issued
2025-09-29
Date Acceptance
2025-08-20
Citation
Scientific Data, 2025, 12
ISSN
2052-4463
Publisher
Nature Portfolio
Journal / Book Title
Scientific Data
Volume
12
Copyright Statement
© The Author(s) 2025 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/41022773
PII: 10.1038/s41597-025-05870-4
Subjects
Multidisciplinary Sciences
Science & Technology
Science & Technology - Other Topics
Publication Status
Published
Coverage Spatial
England
Article Number
1587
Date Publish Online
2025-09-29