Evidence map›Paper›PMID 36404949›Full record

ArticleGlobal epidemiology2022

Modelling the impact of school reopening and contact tracing strategies on Covid-19 dynamics in different epidemiologic settings in Brazil.

Marcelo Eduardo Borges, Leonardo Souto Ferreira, Silas Poloni, Angela Maria Bagattini, Caroline Franco, Michelle Quarti Machado da Rosa, Lorena Mendes Simon, Suzi Alves Camey, Ricardo de Souza Kuchenbecker, Paulo Inácio Prado and 4 more

Abstract read
In one paragraph

Article in Global epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

14 authors.

Marcelo Eduardo BorgesUniversidade Federal de Goiás, Instituto de Patologia Tropical e Saúde Pública, Rua 235, s/n.°, Setor Leste Universitário, Goiânia, Goiás 74605-050, Brazil.
Leonardo Souto FerreiraInstituto de Física Teórica - Universidade Estadual Paulista, Rua Dr. Bento Teobaldo Ferraz, 271, Várzea da Barra Funda, São Paulo, SP 01140-070, Brazil.
Silas PoloniInstituto de Física Teórica - Universidade Estadual Paulista, Rua Dr. Bento Teobaldo Ferraz, 271, Várzea da Barra Funda, São Paulo, SP 01140-070, Brazil.
Angela Maria BagattiniUniversidade Federal de Goiás, Instituto de Patologia Tropical e Saúde Pública, Rua 235, s/n.°, Setor Leste Universitário, Goiânia, Goiás 74605-050, Brazil.
Caroline FrancoInstituto de Física Teórica - Universidade Estadual Paulista, Rua Dr. Bento Teobaldo Ferraz, 271, Várzea da Barra Funda, São Paulo, SP 01140-070, Brazil.
Michelle Quarti Machado da RosaUniversidade Federal de Goiás, Instituto de Patologia Tropical e Saúde Pública, Rua 235, s/n.°, Setor Leste Universitário, Goiânia, Goiás 74605-050, Brazil.
Lorena Mendes SimonDepartamento de Ecologia, Instituto de Ciências Biológicas, Universidade Federal de Goiás, CP 131, Goiânia, Goiás 74001, Brazil.
Suzi Alves CameyUniversidade Federal do Rio Grande do Sul, Instituto de Matemática e Estatística, Departamento de Estatística, Avenida Bento Gonçalves, 9500, Agronomia, Porto Alegre, RS 91501-970, Brazil.
Ricardo de Souza KuchenbeckerUniversidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Epidemiologia, Faculdade de Medicina, Campus Saúde, Rua Ramiro Barcelos, 2400, 2° andar, Floresta, Porto Alegre, RS 90035003, Brazil.
Paulo Inácio PradoInstituto de Biociências - Universidade de São Paulo, A101, Tv. 14, Butantã, São Paulo, SP 05508-090, Brazil.
José Alexandre Felizola Diniz-FilhoDepartamento de Ecologia, Instituto de Ciências Biológicas, Universidade Federal de Goiás, CP 131, Goiânia, Goiás 74001, Brazil.
Roberto André KraenkelInstituto de Física Teórica - Universidade Estadual Paulista, Rua Dr. Bento Teobaldo Ferraz, 271, Várzea da Barra Funda, São Paulo, SP 01140-070, Brazil.
Renato Mendes CoutinhoCentro de Matemática, Computação e Cognição - Universidade Federal do ABC, Avenida dos Estados, 5001, Santa Terezinha, Santo André, SP 09210-580, Brazil.
Cristiana Maria ToscanoUniversidade Federal de Goiás, Instituto de Patologia Tropical e Saúde Pública, Rua 235, s/n.°, Setor Leste Universitário, Goiânia, Goiás 74605-050, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We simulate the impact of school reopening during the COVID-19 pandemic in three major urban centers in Brazil to identify the epidemiological indicators and the best timing for the return of in-school activities and the effect of contact tracing as a mitigation measure. Our goal is to offer guidelines for evidence-based policymaking. We implement an extended SEIR model stratified by age and considering contact networks in different settings - school, home, work, and community, in which the infection transmission rate is affected by various intervention measures. After fitting epidemiological and demographic data, we simulate scenarios with increasing school transmission due to school reopening, and also estimate the number of hospitalization and deaths averted by the implementation of contact tracing. Reopening schools results in a non-linear increase in reported COVID-19 cases and deaths, which is highly dependent on infection and disease incidence at the time of reopening. When contact tracing and quarantining are restricted to school and home settings, a large number of daily tests is required to produce significant effects in reducing the total number of hospitalizations and deaths. Policymakers should carefully consider the epidemiological context and timing regarding the implementation of school closure and return of in-person school activities. While contact tracing strategies prevent new infections within school environments, they alone are not sufficient to avoid significant impacts on community transmission.

Indexed as

BrazilCOVID-19Decision support techniquesDynamic transmission modelsNon-pharmaceutical interventionsSchools

Identifiers

PMID36404949
PMCPMC9652103

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.