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On the role of financial support programs in mitigating the SARS-CoV-2 spread in Brazil

BACKGROUND: During 2020, there were no effective treatments or vaccines against SARS-CoV-2. The most common disease contention measures were social distance (social isolation), the use of face masks and lockdowns. In the beginning, numerous countries have succeeded to control and reduce COVID-19 inf...

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Autores principales: Albani, Vinicius V. L., Albani, Roseane A. S., Bobko, Nara, Massad, Eduardo, Zubelli, Jorge P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485798/
https://www.ncbi.nlm.nih.gov/pubmed/36127657
http://dx.doi.org/10.1186/s12889-022-14155-z
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author Albani, Vinicius V. L.
Albani, Roseane A. S.
Bobko, Nara
Massad, Eduardo
Zubelli, Jorge P.
author_facet Albani, Vinicius V. L.
Albani, Roseane A. S.
Bobko, Nara
Massad, Eduardo
Zubelli, Jorge P.
author_sort Albani, Vinicius V. L.
collection PubMed
description BACKGROUND: During 2020, there were no effective treatments or vaccines against SARS-CoV-2. The most common disease contention measures were social distance (social isolation), the use of face masks and lockdowns. In the beginning, numerous countries have succeeded to control and reduce COVID-19 infections at a high economic cost. Thus, to alleviate such side effects, many countries have implemented socioeconomic programs to fund individuals that lost their jobs and to help endangered businesses to survive. METHODS: We assess the role of a socioeconomic program, so-called “Auxilio Emergencial” (AE), during 2020 as a measure to mitigate the Coronavirus Disease 2019 (COVID-19) outbreak in Brazil. For each Brazilian State, we estimate the time-dependent reproduction number from daily reports of COVID-19 infections and deaths using a Susceptible-Exposed-Infected-Recovered-like (SEIR-like) model. Then, we analyse the correlations between the reproduction number, the amount of individuals receiving governmental aid, and the index of social isolation based on mobile phone information. RESULTS: We observed significant positive correlation values between the average values by the AE and median values of an index accounting for individual mobility. We also observed significantly negative correlation values between the reproduction number and this index on individual mobility. Using the simulations of a susceptible-exposed-infected-removed-like model, if the AE was not operational during the first wave of COVID-19 infections, the accumulated number of infections and deaths could be 6.5 (90% CI: 1.3–21) and 7.9 (90% CI: 1.5–23) times higher, respectively, in comparison with the actual implementation of AE. CONCLUSIONS: Our results suggest that the AE implemented in Brazil had a significant influence on social isolation by allowing those in need to stay at home, which would reduce the expected numbers of infections and deaths. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14155-z.
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spelling pubmed-94857982022-09-21 On the role of financial support programs in mitigating the SARS-CoV-2 spread in Brazil Albani, Vinicius V. L. Albani, Roseane A. S. Bobko, Nara Massad, Eduardo Zubelli, Jorge P. BMC Public Health Research BACKGROUND: During 2020, there were no effective treatments or vaccines against SARS-CoV-2. The most common disease contention measures were social distance (social isolation), the use of face masks and lockdowns. In the beginning, numerous countries have succeeded to control and reduce COVID-19 infections at a high economic cost. Thus, to alleviate such side effects, many countries have implemented socioeconomic programs to fund individuals that lost their jobs and to help endangered businesses to survive. METHODS: We assess the role of a socioeconomic program, so-called “Auxilio Emergencial” (AE), during 2020 as a measure to mitigate the Coronavirus Disease 2019 (COVID-19) outbreak in Brazil. For each Brazilian State, we estimate the time-dependent reproduction number from daily reports of COVID-19 infections and deaths using a Susceptible-Exposed-Infected-Recovered-like (SEIR-like) model. Then, we analyse the correlations between the reproduction number, the amount of individuals receiving governmental aid, and the index of social isolation based on mobile phone information. RESULTS: We observed significant positive correlation values between the average values by the AE and median values of an index accounting for individual mobility. We also observed significantly negative correlation values between the reproduction number and this index on individual mobility. Using the simulations of a susceptible-exposed-infected-removed-like model, if the AE was not operational during the first wave of COVID-19 infections, the accumulated number of infections and deaths could be 6.5 (90% CI: 1.3–21) and 7.9 (90% CI: 1.5–23) times higher, respectively, in comparison with the actual implementation of AE. CONCLUSIONS: Our results suggest that the AE implemented in Brazil had a significant influence on social isolation by allowing those in need to stay at home, which would reduce the expected numbers of infections and deaths. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14155-z. BioMed Central 2022-09-20 /pmc/articles/PMC9485798/ /pubmed/36127657 http://dx.doi.org/10.1186/s12889-022-14155-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Albani, Vinicius V. L.
Albani, Roseane A. S.
Bobko, Nara
Massad, Eduardo
Zubelli, Jorge P.
On the role of financial support programs in mitigating the SARS-CoV-2 spread in Brazil
title On the role of financial support programs in mitigating the SARS-CoV-2 spread in Brazil
title_full On the role of financial support programs in mitigating the SARS-CoV-2 spread in Brazil
title_fullStr On the role of financial support programs in mitigating the SARS-CoV-2 spread in Brazil
title_full_unstemmed On the role of financial support programs in mitigating the SARS-CoV-2 spread in Brazil
title_short On the role of financial support programs in mitigating the SARS-CoV-2 spread in Brazil
title_sort on the role of financial support programs in mitigating the sars-cov-2 spread in brazil
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485798/
https://www.ncbi.nlm.nih.gov/pubmed/36127657
http://dx.doi.org/10.1186/s12889-022-14155-z
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