O estudo usa modelagem matemática para identificar uma abordagem ideal de retorno a escola
Publicado na revista Physica D , o estudo mostra que modelos combinados, com alterna¢ncias quase peria³dicas de dias ou semanas de aulas presenciais e remotas, seriam ideais.
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)
Crédito: domanio paºblico
Em um estudo recente, o Professor de Pra¡tica de Matema¡tica da NYU Abu Dhabi, Alberto Gandolfi, desenvolveu um modelo matema¡tico para identificar o número de dias que os alunos podem frequentar a escola para permitir-lhes uma melhor experiência de aprendizagem enquanto mitiga infecções de COVID-19.
Publicado na revista Physica D , o estudo mostra que modelos combinados, com alterna¢ncias quase peria³dicas de dias ou semanas de aulas presenciais e remotas, seriam ideais. Em um exemplo prototapico, a estratanãgia a³tima resulta na abertura da escola em 90 dias em 200, com o número de casos COVID-19 entre os indivíduos relacionados a escola aumentando em cerca de 66 por cento, em vez do aumento de quase 250 por cento, que éprevisto que as escolas reabram totalmente.
O estudo apresenta cinco grupos diferentes; isso inclui alunos suscetíveis a infecção, alunos expostos a infecção, alunos que apresentam sintomas, alunos assintoma¡ticos e alunos recuperados. Além disso, o estudo de Gandolfi modela outros fatores, incluindo uma jornada escolar de sete horas como janela para a transmissão e o risco de os alunos serem infectados fora da escola.
"A abordagem visa fornecer uma solução via¡vel para escolas que estãoplanejando atividades antes do ano letivo de 2020-2021. Cada escola, ou grupo delas, pode adaptar o estudo a sua situação atual em termos de difusão local do COVID-19 e a importa¢ncia relativa atribuada ao COVID-19 contenção versus ensino em sala de aula; ele pode então calcular uma estratanãgia de abertura ideal. Como essas são soluções mistas na maioria dos casos, outros aspectos da vida socioecona´mica na área podem ser construados em torno das escolas 'calenda¡rio. Dessa forma, as criana§as podem se beneficiar tanto quanto possível de uma experiência direta em sala de aula, garantindo que a propagação da infecção seja mantida sob controle. "
Falando sobre o desenvolvimento deste modelo , Gandolfi comentou: "A pesquisa ocorre quando mais de um bilha£o de estudantes em todo o mundo estãousando modelos de aprendizagem remota em face da pandemia global, e os educadores precisam de planos para o período acadêmico de 2020-2021 Dado que as criana§as tem um contacto muito pra³ximo dentro das salas de aula e que o período de incubação dura vários dias, o estudo mostra que a reabertura total das salas de aula não éuma possibilidade via¡vel na maioria dos locais. desenvolvimento de uma vacina ainda em seus esta¡gios de formação, os estudos colocaram o impacto potencial do COVID-19 nas criana§as como uma perda de 30% do progresso usual em leitura e 50% ou mais em matemática. "
Ele acrescentou: "A abordagem visa fornecer uma solução via¡vel para escolas que estãoplanejando atividades antes do ano letivo de 2020-2021. Cada escola, ou grupo delas, pode adaptar o estudo a sua situação atual em termos de difusão local do COVID-19 e a importa¢ncia relativa atribuada ao COVID-19 contenção versus ensino em sala de aula; ele pode então calcular uma estratanãgia de abertura ideal. Como essas são soluções mistas na maioria dos casos, outros aspectos da vida socioecona´mica na área podem ser construados em torno das escolas 'calenda¡rio. Dessa forma, as criana§as podem se beneficiar tanto quanto possível de uma experiência direta em sala de aula, garantindo que a propagação da infecção seja mantida sob controle. "
Usando a prevalaªncia de casos ativos de COVID-19 em uma regia£o como um proxy para a chance de infecção, o estudo da¡ uma primeira indicação, para cadapaís, das possibilidades de reabertura de escolas: escolas podem reabrir totalmente em algunspaíses, enquanto na maioria das outras soluções combinadas podem ser tentadas, com distanciamento fasico estrito e testes frequentes, generalizados, mesmo que não necessariamente extremamente confia¡veis.