Evidence map›Paper›PMID 33814022›Full record

ArticleEpidemiology and infection2021

Estimating the effects of reopening of schools on the course of the epidemic of COVID-19.

Eduardo Massad, Marcos Amaku, Dimas Tadeu Covas, Luis Fernandes Lopez, Francisco Antonio Bezerra Coutinho

Abstract read
In one paragraph

Article in Epidemiology and infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Eduardo MassadSchool of Medicine, University of Sao Paulo and LIM01-HCFMUSP, Sao Paulo, Brazil.ORCID 0000-0002-7200-2916
Marcos AmakuSchool of Medicine, University of Sao Paulo and LIM01-HCFMUSP, Sao Paulo, Brazil.ORCID 0000-0003-4752-6774
Dimas Tadeu CovasInstituto Butantan, Sao Paulo, Brazil.
Luis Fernandes LopezSchool of Medicine, University of Sao Paulo and LIM01-HCFMUSP, Sao Paulo, Brazil.
Francisco Antonio Bezerra CoutinhoSchool of Medicine, University of Sao Paulo and LIM01-HCFMUSP, Sao Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we present a method to estimate the risk of reopening of schools illustrated with the case of the State of São Paulo, Brazil. The model showed that, although no death of children would result from the reopening of the schools in the three cities analysed, the risk of asymptomatic and symptomatic cases and secondary cases among teachers, school staff and relatives of the children is not negligible. Although the epidemic hit different regions with different intensities, our model shows that, for regions where the incidence profile is similar to the cities analysed, the risk of reopening of schools is still too high. This in spite of the fact that incidences in these cities were declining in the period of the time considered. Therefore, although we cannot extend the result to the entire country, the overall conclusion is valid for regions with a declining incidence and it is even more valid for regions where incidence is increasing. We assumed a very conservative level of infection transmissibility of children of just 10% as that of adults. In spite of the very low level of transmissibility is assumed, the number of secondary cases caused by infected children among teachers, school staff and relatives varied from 2 to 85. It is, therefore, too soon to have any degree of confidence that reopening of schools before the advent of a vaccine is the right decision to take. The purpose of our model and simulations is to provide a method to estimate the risk of school reopening, although we are sure it could be applied as a guide to public health strategies.

Indexed as

SchoolsAdultAsymptomatic InfectionsBrazilChildChild, PreschoolCOVID-19Disease OutbreaksFamilyHumansIncidenceInfantModels, TheoreticalSARS-CoV-2School TeachersStudentsCOVID-19mathematical modellingschool children

Identifiers

PMID33814022
PMCPMC8047398

What OpenQuestion holds

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LicenceCC BY
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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.