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

27 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
Article number73
JournalScientific data
Volume8
Issue number1
DOIs
StatePublished - Dec 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).

Funding

The authors thank the Brazilian Confederation of Municipalities (CNM) for the partnership as well as all mayors and health secretaries that responded to the questionnaire. We thank Alexander Mielke for valuable input. We also thank our funding agencies: WMS: FAPESP #2017/13981-0 and 2019/24251-9NRF: CADDE/FAPESP (MR/ S0195/1 and FAPESP 18/14389-0) (http://caddecentre.org/) and Wellcome Trust and Royal Society Sir Henry Dale Fellowship 204311/Z/16/Z.SLL: Canadian Social Sciences and Humanities Doctoral Fellowship and the Oxford Martin School Programme on Pandemic Genomics. DSC: Clarendon Fund and Department of Zoology.

FundersFunder number
Centros de Pesquisa, Inovação e Difusão, Fundação Amazônia Paraense de Amparo à Pesquisa
Fundação de Amparo à Pesquisa do Estado de São Paulo
Canadian Social Sciences and Humanities Doctoral Fellowship
National Science Foundation Arctic Social Science Program1444932
Wellcome Trust204311
Royal Society Sir Henry Dale Fellowship204311/Z/16/Z.SLL

    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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