Modelling the test, trace and quarantine strategy to control the COVID-19 epidemic in the state of São Paulo, Brazil

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dc.contributorDiretoria Técnicapt_BR
dc.contributor.authorAmaku, Marcospt_BR
dc.contributor.authorCovas, Dimas Tadeupt_BR
dc.contributor.authorCoutinho, Francisco Antonio Bezerrapt_BR
dc.contributor.authorAzevedo Neto, Raymundo Soarespt_BR
dc.contributor.authorStruchiner, Claudiopt_BR
dc.contributor.authorWilder-Smith, Anneliespt_BR
dc.contributor.authorMassad, Eduardopt_BR
dc.date.accessioned2020-12-14T14:43:57Z-
dc.date.available2020-12-14T14:43:57Z-
dc.date.issued2021pt_BR
dc.identifier.citationAmaku M, Covas DT, Coutinho FAB, Azevedo Neto RS, Struchiner C, Wilder-Smith A, et al. Modelling the test, trace and quarantine strategy to control the COVID-19 epidemic in the state of São Paulo, Brazil. Infect. Dis. Model.. 2021 ;6:46-55. doi:10.1016/j.idm.2020.11.004.pt_BR
dc.identifier.urihttps://repositorio.butantan.gov.br/handle/butantan/3358-
dc.description.abstractTesting for detecting the infection by SARS-CoV-2 is the bridge between the lockdown and the opening of society. In this paper we modelled and simulated a test-trace-and-quarantine strategy to control the COVID-19 outbreak in the State of São Paulo, Brasil. The State of São Paulo failed to adopt an effective social distancing strategy, reaching at most 59% in late March and started to relax the measures in late June, dropping to 41% in 08 August. Therefore, São Paulo relies heavily on a massive testing strategy in the attempt to control the epidemic. Two alternative strategies combined with economic evaluations were simulated. One strategy included indiscriminately testing the entire population of the State, reaching more than 40 million people at a maximum cost of 2.25 billion USD, that would reduce the total number of cases by the end of 2020 by 90%. The second strategy investigated testing only symptomatic cases and their immediate contacts – this strategy reached a maximum cost of 150 million USD but also reduced the number of cases by 90%. The conclusion is that if the State of São Paulo had decided to adopt the simulated strategy on April the 1st, it would have been possible to reduce the total number of cases by 90% at a cost of 2.25 billion US dollars for the indiscriminate strategy but at a much smaller cost of 125 million US dollars for the selective testing of symptomatic cases and their contacts.pt_BR
dc.description.sponsorshipEuropean Union's Horizon 2020 Research and Innovation Programmept_BR
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorshipFundação Butantanpt_BR
dc.format.extent46-55pt_BR
dc.language.isoEnglishpt_BR
dc.relation.ispartofInfectious Disease Modellingpt_BR
dc.rightsOpen accesspt_BR
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/pt_BR
dc.titleModelling the test, trace and quarantine strategy to control the COVID-19 epidemic in the state of São Paulo, Brazilpt_BR
dc.typeArticlept_BR
dc.rights.licenseCC BY-NC-NDpt_BR
dc.identifier.doi10.1016/j.idm.2020.11.004pt_BR
dc.identifier.urlhttps://doi.org/10.1016/j.idm.2020.11.004pt_BR
dc.contributor.externalUniversidade de São Paulo (USP)pt_BR
dc.contributor.externalFundação Getulio Vargas (FGV)pt_BR
dc.contributor.externalUniversity Hospital Heidelbergpt_BR
dc.contributor.externalUmea Universitypt_BR
dc.contributor.externalThe London School of Hygiene & Tropical Medicine (LSHTM)pt_BR
dc.identifier.citationvolume6pt_BR
dc.subject.keywordCOVID-19pt_BR
dc.subject.keywordSARS-CoV-2pt_BR
dc.subject.keywordTestingpt_BR
dc.subject.keywordCost-analysispt_BR
dc.subject.keywordModellingpt_BR
dc.relation.ispartofabbreviatedInfect Dis Modelpt_BR
dc.identifier.citationabntv. 6, p. 46-55, 2021pt_BR
dc.identifier.citationvancouver2021 ;6:46-55pt_BR
dc.contributor.butantanCovas, Dimas Tadeu|:Outros|:Diretoria Técnicapt_BR
dc.sponsorship.butantanEuropean Union's Horizon 2020 Research and Innovation Programme¦¦734584pt_BR
dc.sponsorship.butantanConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)¦¦pt_BR
dc.sponsorship.butantanFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)¦¦pt_BR
dc.sponsorship.butantanFundação Butantan¦¦pt_BR
dc.identifier.bvsccBR78.1pt_BR
dc.identifier.bvsdbIBProdpt_BR
dc.description.dbindexedYespt_BR
item.languageiso639-1English-
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