The University of Southampton
University of Southampton Institutional Repository

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

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

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.

2052-4463
de Souza Santos, Andreza Aruska
d9705550-e1d5-4e66-85eb-d46e4ff11791
Candido, Darlan da Silva
591c7ce7-e331-4c3a-8f52-3677a776ca9b
de Souza, William Marciel
3cc9cfcb-ad2c-47ff-ae24-73d94fa9471b
Buss, Lewis
53ab8102-943b-4b6f-a976-1b7100c41266
Li, Sabrina L.
62a3df1d-57e6-4335-8394-e432f4366a99
Pereira, Rafael H.M.
706c79b9-0228-4ca3-90e2-0d904dd7de8a
Wu, Chieh Hsi
ace630c6-2095-4ade-b657-241692f6b4d3
Sabino, Ester C.
36d8182b-1c56-4071-abd6-33bdd931fdb7
Faria, Nuno R.
cc78a30a-2b32-4b9b-9d46-5c7bd842da37
de Souza Santos, Andreza Aruska
d9705550-e1d5-4e66-85eb-d46e4ff11791
Candido, Darlan da Silva
591c7ce7-e331-4c3a-8f52-3677a776ca9b
de Souza, William Marciel
3cc9cfcb-ad2c-47ff-ae24-73d94fa9471b
Buss, Lewis
53ab8102-943b-4b6f-a976-1b7100c41266
Li, Sabrina L.
62a3df1d-57e6-4335-8394-e432f4366a99
Pereira, Rafael H.M.
706c79b9-0228-4ca3-90e2-0d904dd7de8a
Wu, Chieh Hsi
ace630c6-2095-4ade-b657-241692f6b4d3
Sabino, Ester C.
36d8182b-1c56-4071-abd6-33bdd931fdb7
Faria, Nuno R.
cc78a30a-2b32-4b9b-9d46-5c7bd842da37

de Souza Santos, Andreza Aruska, Candido, Darlan da Silva, de Souza, William Marciel, Buss, Lewis, Li, Sabrina L., Pereira, Rafael H.M., Wu, Chieh Hsi, Sabino, Ester C. and Faria, Nuno R. (2021) Dataset on SARS-CoV-2 non-pharmaceutical interventions in Brazilian municipalities. Scientific Data, 8 (1), [73]. (doi:10.1038/s41597-021-00859-1).

Record type: Article

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.

Text
s41598-020-79251-9 - Version of Record
Available under License Creative Commons Attribution.
Download (4MB)

More information

Accepted/In Press date: 2 February 2021
e-pub ahead of print date: 4 March 2021
Published date: 4 March 2021
Additional Information: Funding Information: 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. Publisher Copyright: © 2021, The Author(s).

Identifiers

Local EPrints ID: 447832
URI: http://eprints.soton.ac.uk/id/eprint/447832
ISSN: 2052-4463
PURE UUID: 45c24b93-33ba-41aa-9f2b-2b3f0be2aec4
ORCID for Chieh Hsi Wu: ORCID iD orcid.org/0000-0001-9386-725X

Catalogue record

Date deposited: 23 Mar 2021 17:40
Last modified: 17 Mar 2024 04:00

Export record

Altmetrics

Contributors

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

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×