Data-driven study of the COVID-19 pandemic via age-structured modelling and prediction of the health system failure in Brazil amid diverse intervention strategies

Silva, Askery Alexandre Canabarro Barbosa daTenório, ElayneMartins, RenatoMartins, LaísBrito, Samuraí Gomes de AguiarAraújo, Rafael Chaves Souto2020-09-202020-09-202020-07-30CANABARRO, Askery; TENÓRIO, Elayne; MARTINS, Renato; MARTINS, Laís; BRITO, Samuraí; CHAVES, Rafael. Data-driven study of the COVID-19 pandemic via age-structured modelling and prediction of the health system failure in Brazil amid diverse intervention strategies. Plos One, [s.l.], v. 15, n. 7, p. 0236310, 30 jul. 2020. Disponível em: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0236310. Acesso em: 04 set. 2020. http://dx.doi.org/10.1371/journal.pone.0236310. http://dx.doi.org/10.1371/journal.pone.0236310.1932-6203https://repositorio.ufrn.br/jspui/handle/123456789/30121Attribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/COVID-19PandemicData-driven study of the COVID-19 pandemic via age-structured modelling and prediction of the health system failure in Brazil amid diverse intervention strategiesarticle10.1371/journal.pone.0236310.