Dataset on SARS-CoV-2 non-pharmaceutical interventions in Brazilian municipalities

Andreza Aruska de Souza Santos, Darlan da Silva Candido, William Marciel de Souza, Lewis Buss, Sabrina L. Li, Rafael H.M. Pereira, Chieh Hsi Wu, Ester C. Sabino, Nuno R. Faria

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Brazil has one of the fastest-growing COVID-19 epidemics worldwide. Non-pharmaceutical interventions (NPIs) have been adopted at the municipal level with asynchronous actions taken across 5,568 municipalities and the Federal District. This paper systematises the fragmented information on NPIs reporting on a novel dataset with survey responses from 4,027 mayors, covering 72.3% of all municipalities in the country. This dataset responds to the urgency to track and share findings on fragmented policies during the COVID-19 pandemic. Quantifying NPIs can help to assess the role of interventions in reducing transmission. We offer spatial and temporal details for a range of measures aimed at implementing social distancing and the dates when these measures were relaxed by local governments.

Original languageEnglish (US)
Article number73
JournalScientific Data
Volume8
Issue number1
DOIs
StatePublished - Dec 2021
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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