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dc.contributor.authorYang, Hyun Mo et al.
dc.date.accessioned2020-06-18T15:18:22Z
dc.date.available2020-06-18T15:18:22Z
dc.date.issued2020-06-04
dc.identifier.urihttps://doi.org/10.1101/2020.05.19.20099309en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12663/1793
dc.description.abstractSão Paulo State registered the first case of CoViD-19 on 26 February, the first death due to CoViD-19 on 16 March, and implemented the isolation of the population in non- essential activities on 24 March, which is programmed to end on 1 June. A mathematical model considering young (below 60 years old) and elder (above 60 years) subpopulations was formulated based on the natural history of CoViD-19 to study the transmission of the new coronavirus in São Paulo State, Brazil. This deterministic model used the data collected in São Paulo State to estimate the model parameters and to evaluate the effects of herd protection, that is, isolation and personal and collective protective measures. Based on the estimated parameters, we evaluated the scenarios of three releases divided in equal proportions elapsed by 14 days between releases, but beginning in three different times (the first release occurring on 1 and 23 June, and 6 July). We concluded that these three strategies of release are equivalent (little difference) in reducing the number of severe CoViD-19 if social behaviour does not change. However, if protective measures as using face mask and hygiene (washing hands, for instance) and social distancing could be massively disseminated in the population to decrease the transmission of CoViD-19 by 80%, we concluded that the health care system may not collapse with release.en_US
dc.languageEnglishen_US
dc.subjectCOVID-19en_US
dc.subjectCoronavirusen_US
dc.subjectBrazilen_US
dc.subjectSocial Isolationen_US
dc.subjectCoronavirus Infectionsen_US
dc.subjectHealth Careen_US
dc.titleEvaluating reduction in CoViD-19 cases by isolation and protective measures in São Paulo State, Brazil, and scenarios of releaseen_US
eihealth.countryGlobal (WHO/OMS)en_US
eihealth.categoryEpidemiology and epidemiological studiesen_US
eihealth.typePublished Articleen_US
eihealth.maincategorySlow Spread / Reducir la Dispersiónen_US
dc.relation.ispartofjournalmedRxiven_US


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