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404. COVID-19 Normality Rate: Criteria for Optimal Time to Return to In-person Learning

BACKGROUND: The COVID-19 pandemic created the most severe global education disruption in history. According to UNESCO, at the peak of the crisis over 1.6 billion learners in more than 190 countries were out of school. After one year, half of the world’s student population is still affected by full o...

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Autores principales: Starling, Carlos, Machado-Pinto, Jackson, Tupinambás, Unaí, Silva, Estevão Urbano, Couto, Bráulio R G M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644210/
http://dx.doi.org/10.1093/ofid/ofab466.605
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author Starling, Carlos
Machado-Pinto, Jackson
Tupinambás, Unaí
Silva, Estevão Urbano
Couto, Bráulio R G M
author_facet Starling, Carlos
Machado-Pinto, Jackson
Tupinambás, Unaí
Silva, Estevão Urbano
Couto, Bráulio R G M
author_sort Starling, Carlos
collection PubMed
description BACKGROUND: The COVID-19 pandemic created the most severe global education disruption in history. According to UNESCO, at the peak of the crisis over 1.6 billion learners in more than 190 countries were out of school. After one year, half of the world’s student population is still affected by full or partial school closures. Here we investigated whether or not it is possible to build a multivariate score for dynamic school decision-making specially in scenarios without population-scale RT-PCR tests. METHODS: Normality rate is based on a COVID-19 risk matrix (Table 1). Total score (TS) is obtained by summing the risk scores for COVID-19, considering the six parameters of the pandemic in a city. The COVID-19 Normality Rate (CNR) is obtained by linear interpolation in such a way that a total score of 30 points is equivalent to a 100% possibility of normality and, in a city with only six total points would have zero percent chance of returning to normality: CNR = (TS – 6)/24 (%). The criteria for opening and closing schools can be defined based on the percentages of return to normality (Table 2). Table 1. Limits for each parameter of the risk matrix and "normality" scores in relation to COVID-19: the lower the risk, higher is the “normality” score. [Image: see text] Table 2. Criteria for opening and closing schools in a city according to the COVID-19 Normality Rate. [Image: see text] RESULTS: at June 3rd, 2021, we evaluated all 5,570 Brazilian cities (Figure 1): 2,708 cities (49%) with COVID-19 normality rate less than 50% (full schools closure), 2,223 cities (40%) with normality rate between 50% and 70% (in-person learning only for 5 years and 8 months-old children), 583 with normality rate between 71% and 80% (in-person learning extended to children age 12 years and less), 583 cities (1%) with normality rate between 81% to 90% (in-person learning extended to the student population age 18 years), and just one city with 92% COVID-19 normality rate (in-person learning extended to all the student population). We calculated the COVID-19 normality rate between January and May, 2021, in four countries: Brazil, USA, UK, and Italy (Figure 2). At Jun, 3(rd), 2021, percentage of people fully vaccinated in Brazil varied from 0% to 69%, an average of 11%. Figure 1. COVID-19 Normality Rate in 5,570 cities in Brazil, Jun/03/2021. [Image: see text] Figure 2. COVID-19 Normality Rate between January and May, 2021: comparison among Brazil, USA, UK, and Italy. [Image: see text] CONCLUSION: COVID-19 vaccination programs take several months to implement. Besides fully vaccination of the population, it is important to check if people became really safe from the virus. The COVID-19 Normality Rate is a double check multivariate score that can be used as a criteria for optimal time to return to in-person learning safely. DISCLOSURES: All Authors: No reported disclosures
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spelling pubmed-86442102021-12-06 404. COVID-19 Normality Rate: Criteria for Optimal Time to Return to In-person Learning Starling, Carlos Machado-Pinto, Jackson Tupinambás, Unaí Silva, Estevão Urbano Couto, Bráulio R G M Open Forum Infect Dis Poster Abstracts BACKGROUND: The COVID-19 pandemic created the most severe global education disruption in history. According to UNESCO, at the peak of the crisis over 1.6 billion learners in more than 190 countries were out of school. After one year, half of the world’s student population is still affected by full or partial school closures. Here we investigated whether or not it is possible to build a multivariate score for dynamic school decision-making specially in scenarios without population-scale RT-PCR tests. METHODS: Normality rate is based on a COVID-19 risk matrix (Table 1). Total score (TS) is obtained by summing the risk scores for COVID-19, considering the six parameters of the pandemic in a city. The COVID-19 Normality Rate (CNR) is obtained by linear interpolation in such a way that a total score of 30 points is equivalent to a 100% possibility of normality and, in a city with only six total points would have zero percent chance of returning to normality: CNR = (TS – 6)/24 (%). The criteria for opening and closing schools can be defined based on the percentages of return to normality (Table 2). Table 1. Limits for each parameter of the risk matrix and "normality" scores in relation to COVID-19: the lower the risk, higher is the “normality” score. [Image: see text] Table 2. Criteria for opening and closing schools in a city according to the COVID-19 Normality Rate. [Image: see text] RESULTS: at June 3rd, 2021, we evaluated all 5,570 Brazilian cities (Figure 1): 2,708 cities (49%) with COVID-19 normality rate less than 50% (full schools closure), 2,223 cities (40%) with normality rate between 50% and 70% (in-person learning only for 5 years and 8 months-old children), 583 with normality rate between 71% and 80% (in-person learning extended to children age 12 years and less), 583 cities (1%) with normality rate between 81% to 90% (in-person learning extended to the student population age 18 years), and just one city with 92% COVID-19 normality rate (in-person learning extended to all the student population). We calculated the COVID-19 normality rate between January and May, 2021, in four countries: Brazil, USA, UK, and Italy (Figure 2). At Jun, 3(rd), 2021, percentage of people fully vaccinated in Brazil varied from 0% to 69%, an average of 11%. Figure 1. COVID-19 Normality Rate in 5,570 cities in Brazil, Jun/03/2021. [Image: see text] Figure 2. COVID-19 Normality Rate between January and May, 2021: comparison among Brazil, USA, UK, and Italy. [Image: see text] CONCLUSION: COVID-19 vaccination programs take several months to implement. Besides fully vaccination of the population, it is important to check if people became really safe from the virus. The COVID-19 Normality Rate is a double check multivariate score that can be used as a criteria for optimal time to return to in-person learning safely. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2021-12-04 /pmc/articles/PMC8644210/ http://dx.doi.org/10.1093/ofid/ofab466.605 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Abstracts
Starling, Carlos
Machado-Pinto, Jackson
Tupinambás, Unaí
Silva, Estevão Urbano
Couto, Bráulio R G M
404. COVID-19 Normality Rate: Criteria for Optimal Time to Return to In-person Learning
title 404. COVID-19 Normality Rate: Criteria for Optimal Time to Return to In-person Learning
title_full 404. COVID-19 Normality Rate: Criteria for Optimal Time to Return to In-person Learning
title_fullStr 404. COVID-19 Normality Rate: Criteria for Optimal Time to Return to In-person Learning
title_full_unstemmed 404. COVID-19 Normality Rate: Criteria for Optimal Time to Return to In-person Learning
title_short 404. COVID-19 Normality Rate: Criteria for Optimal Time to Return to In-person Learning
title_sort 404. covid-19 normality rate: criteria for optimal time to return to in-person learning
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644210/
http://dx.doi.org/10.1093/ofid/ofab466.605
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