Evidence map›Paper›PMID 36127657›Full record

ArticleBMC public health2022

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

Vinicius V L Albani, Roseane A S Albani, Nara Bobko, Eduardo Massad, Jorge P Zubelli

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Vinicius V L AlbaniDepartment of Mathematics, Federal University of Santa Catarina, Florianopolis, Brazil.
Roseane A S AlbaniInstituto Politécnico do Rio de Janeiro, Rio de Janeiro State University, Nova Friburgo, Brazil.
Nara BobkoFederal University of Technology - Paraná, Curitiba, Brazil.
Eduardo MassadSchool of Medicine, University of São Paulo and LIM01-HCFMUSP, São Paulo, Brazil.
Jorge P ZubelliMathematics Department, Khalifa University, Abu Dhabi, UAE. jorge.zubelli@ku.ac.ae.

Funding

Lacrimal Gland Repair Using Progenitor CellsR01EY026202 · NEI · SCRIPPS RESEARCH INSTITUTE, THE · PI MAKARENKOVA, HELEN P. · 2016 to 2025
$5.2M
6 · The paper itself

Abstract

backgroundDuring 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.

methodsWe 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.

resultsWe 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.

conclusionsOur 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.

Indexed as

COVID-19SARS-CoV-2BrazilCommunicable Disease ControlCOVID-19 VaccinesFinancial SupportHumansCOVID-19 VaccinesCOVID-19Epidemiological ModelingMobility and TransmissionSARS-CoV-2Socioeconomic Programs and Transmission

Identifiers

PMID36127657
PMCPMC9485798

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.