Evidence map›Paper›PMID 34840411›Full record

ArticleThe Annals of regional science2022

COVID-19 crisis monitor: assessing the effectiveness of exit strategies in the State of São Paulo, Brazil.

Eduardo A Haddad, Renato S Vieira, Inácio F Araújo, Silvio M Ichihara, Fernando S Perobelli, Karina S S Bugarin

Abstract read
In one paragraph

Article in The Annals of regional science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

6 authors.

Eduardo A HaddadDepartment of Economics, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0001-6564-6716
Renato S VieiraDepartment of Economics, Universidade Católica de Brasília, Brasília, Brazil.ORCID https://orcid.org/0000-0002-2371-0895
Inácio F AraújoDepartment of Economics, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-4737-2963
Silvio M IchiharaDERSA, Secretariat of Logistics and Transportation, São Paulo, Brazil.
Fernando S PerobelliDepartment of Economics, Federal University of Juiz de Fora, Juiz de Fora, Brazil.ORCID https://orcid.org/0000-0003-2364-8865
Karina S S BugarinEconomics and Politics Research Group, Brasília, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As COVID-19-related health indicators improve after restrictive measures were set in place in different parts of the world, governments are expected to guide how to ease interventions while minimizing the risk of resurgent outbreaks. Whereas epidemiologists track the progress of the disease using daily indicators to understand the pandemic better, economic activity indicators are usually available at a lower frequency and with considerable time lags. We propose and implement a timely trade-based regional economic activity indicator (EAI) that uses high-frequency traffic data to monitor daily sectoral economic activity in different sectors for the Brazilian State of São Paulo, a highly impacted region, overcoming the challenge of real-time assessment of the economy amid the COVID-19 outbreak. We then use this novel set of information combined with hospitalization rates to provide a first assessment of the São Paulo Plan, the COVID-19 exit strategy designed to gradually lifting interventions introduced to control the outbreak in the State. Available data show that, in its first 60 days, the phased strategy pursued in São Paulo has been effective in gradually reactivating economic activity while maintaining the adequate responsiveness of the healthcare system. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00168-021-01085-8.

Identifiers

PMID34840411
PMCPMC8610368

What OpenQuestion holds

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Registered trials

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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.