Cargando…
Estimating the effects of reopening of schools on the course of the epidemic of COVID-19
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047398/ https://www.ncbi.nlm.nih.gov/pubmed/33814022 http://dx.doi.org/10.1017/S0950268821000686 |
_version_ | 1783679031995006976 |
---|---|
author | Massad, Eduardo Amaku, Marcos Tadeu Covas, Dimas Fernandes Lopez, Luis Coutinho, Francisco Antonio Bezerra |
author_facet | Massad, Eduardo Amaku, Marcos Tadeu Covas, Dimas Fernandes Lopez, Luis Coutinho, Francisco Antonio Bezerra |
author_sort | Massad, Eduardo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8047398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80473982021-04-15 Estimating the effects of reopening of schools on the course of the epidemic of COVID-19 Massad, Eduardo Amaku, Marcos Tadeu Covas, Dimas Fernandes Lopez, Luis Coutinho, Francisco Antonio Bezerra Epidemiol Infect Original Paper 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. Cambridge University Press 2021-04-05 /pmc/articles/PMC8047398/ /pubmed/33814022 http://dx.doi.org/10.1017/S0950268821000686 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Massad, Eduardo Amaku, Marcos Tadeu Covas, Dimas Fernandes Lopez, Luis Coutinho, Francisco Antonio Bezerra Estimating the effects of reopening of schools on the course of the epidemic of COVID-19 |
title | Estimating the effects of reopening of schools on the course of the epidemic of COVID-19 |
title_full | Estimating the effects of reopening of schools on the course of the epidemic of COVID-19 |
title_fullStr | Estimating the effects of reopening of schools on the course of the epidemic of COVID-19 |
title_full_unstemmed | Estimating the effects of reopening of schools on the course of the epidemic of COVID-19 |
title_short | Estimating the effects of reopening of schools on the course of the epidemic of COVID-19 |
title_sort | estimating the effects of reopening of schools on the course of the epidemic of covid-19 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047398/ https://www.ncbi.nlm.nih.gov/pubmed/33814022 http://dx.doi.org/10.1017/S0950268821000686 |
work_keys_str_mv | AT massadeduardo estimatingtheeffectsofreopeningofschoolsonthecourseoftheepidemicofcovid19 AT amakumarcos estimatingtheeffectsofreopeningofschoolsonthecourseoftheepidemicofcovid19 AT tadeucovasdimas estimatingtheeffectsofreopeningofschoolsonthecourseoftheepidemicofcovid19 AT fernandeslopezluis estimatingtheeffectsofreopeningofschoolsonthecourseoftheepidemicofcovid19 AT coutinhofranciscoantoniobezerra estimatingtheeffectsofreopeningofschoolsonthecourseoftheepidemicofcovid19 |