Citation

BibTex format

@article{de:2021:10.1038/s41597-021-00859-1,
author = {de, Souza Santos AA and Candido, DDS and de, Souza WM and Buss, L and Li, SL and Pereira, RHM and Wu, C-H and Sabino, EC and Faria, NR},
doi = {10.1038/s41597-021-00859-1},
journal = {Scientific Data},
title = {Dataset on SARS-CoV-2 non-pharmaceutical interventions in Brazilian municipalities},
url = {http://dx.doi.org/10.1038/s41597-021-00859-1},
volume = {8},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - de,Souza Santos AA
AU - Candido,DDS
AU - de,Souza WM
AU - Buss,L
AU - Li,SL
AU - Pereira,RHM
AU - Wu,C-H
AU - Sabino,EC
AU - Faria,NR
DO - 10.1038/s41597-021-00859-1
PY - 2021///
SN - 2052-4463
TI - Dataset on SARS-CoV-2 non-pharmaceutical interventions in Brazilian municipalities
T2 - Scientific Data
UR - http://dx.doi.org/10.1038/s41597-021-00859-1
UR - https://www.ncbi.nlm.nih.gov/pubmed/33664243
UR - https://www.nature.com/articles/s41597-021-00859-1
VL - 8
ER -

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