Logotipo do repositório

Two hundred days of COVID-19 in São Paulo State, Brazil

dc.contributor.authorDe Almeida, Gabriel Berg [UNESP]
dc.contributor.authorPronunciate, Micheli [UNESP]
dc.contributor.authorGrotto, Rejane Maria Tommasini [UNESP]
dc.contributor.authorAzevedo Pugliesi, Edmur [UNESP]
dc.contributor.authorGuimarães, Raul Borges [UNESP]
dc.contributor.authorVilches, Thomas Nogueira
dc.contributor.authorMendes Coutinho, Renato
dc.contributor.authorDe Castro Catão, Rafael
dc.contributor.authorFerreira, Claudia Pio [UNESP]
dc.contributor.authorMagno Castelo Branco Fortaleza, Carlos [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Federal do ABC (UFABC)
dc.contributor.institutionFederal University of Espírito Santo (UFES)
dc.date.accessioned2021-06-25T11:09:09Z
dc.date.available2021-06-25T11:09:09Z
dc.date.issued2020-01-01
dc.description.abstractTwo hundred days after the first confirmed case of COVID-19 in Brazil, the epidemic has rapidly spread in metropolitan areas and advanced throughout the countryside. We followed the temporal epidemic pattern at São Paulo State, the most populous of the country, the first to have a confirmed case of COVID-19, and the one with the most significant number of cases until now. We analyzed the number of new cases per day in each regional health department and calculated the effective reproduction number (Rt) over time. Social distance measures, along with improvement in testing and isolating positive cases, general population mask-wearing, and standard health security protocols for essential and non-essential activities, were adopted and impacted on slowing down epidemic velocity but were insufficient to stop transmission.en
dc.description.affiliationClinical Hospital of Botucatu Medical School (HCFMB)
dc.description.affiliationSão Paulo State University (UNESP) Botucatu Medical School Department of Infectious Diseases
dc.description.affiliationSão Paulo State University (UNESP) School of Agriculture
dc.description.affiliationSão Paulo State University (UNESP) School of Technology and Sciences
dc.description.affiliationUniversity of Campinas (UNICAMP) Institute of Mathematics Statistics and Scientific Computation
dc.description.affiliationFederal University of Abc (UFABC) Center for Mathematics Computation and Cognition
dc.description.affiliationFederal University of Espírito Santo (UFES)
dc.description.affiliationSão Paulo State University (UNESP) Institute of Biosciences
dc.description.affiliationUnespClinical Hospital of Botucatu Medical School (HCFMB)
dc.description.affiliationUnespSão Paulo State University (UNESP) Botucatu Medical School Department of Infectious Diseases
dc.description.affiliationUnespSão Paulo State University (UNESP) School of Agriculture
dc.description.affiliationUnespSão Paulo State University (UNESP) School of Technology and Sciences
dc.description.affiliationUnespSão Paulo State University (UNESP) Institute of Biosciences
dc.identifierhttp://dx.doi.org/10.1017/S0950268820002927
dc.identifier.citationEpidemiology and Infection.
dc.identifier.dimensionspub.1133123882
dc.identifier.doi10.1017/S0950268820002927
dc.identifier.issn1469-4409
dc.identifier.issn0950-2688
dc.identifier.lattes8022527468369459
dc.identifier.lattes2052749698204617
dc.identifier.orcid0000-0002-9925-5374
dc.identifier.orcid0000-0002-9404-6098
dc.identifier.orcid0000-0002-4980-7564
dc.identifier.orcid0000-0003-3426-6619
dc.identifier.orcid0000-0002-2828-8558
dc.identifier.orcid0000-0002-4035-9486
dc.identifier.orcid0000-0003-4120-1258
dc.identifier.orcid0000-0002-1712-0899
dc.identifier.orcid0000-0003-2837-0364
dc.identifier.pmcidPMC7750657
dc.identifier.pmid33261679
dc.identifier.scopus2-s2.0-85097805961
dc.identifier.urihttp://hdl.handle.net/11449/208255
dc.language.isoeng
dc.publisherCambridge University Press (CUP)
dc.relation.ispartofEpidemiology and Infection
dc.rights.accessRightsAcesso abertopt
dc.rights.sourceRightsoa_all
dc.rights.sourceRightsgold
dc.sourceScopus
dc.sourceDimensions
dc.titleTwo hundred days of COVID-19 in São Paulo State, Brazilen
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationab63624f-c491-4ac7-bd2c-767f17ac838d
relation.isOrgUnitOfPublication.latestForDiscoveryab63624f-c491-4ac7-bd2c-767f17ac838d
unesp.author.lattes8022527468369459[5]
unesp.author.lattes2052749698204617[9]
unesp.author.orcid0000-0002-1712-0899 0000-0002-1712-0899[1]
unesp.author.orcid0000-0002-4035-9486 0000-0002-4035-9486[3]
unesp.author.orcid0000-0002-9925-5374[5]
unesp.author.orcid0000-0002-9404-6098[9]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Botucatupt
unesp.departmentGeografia - FCTpt
unesp.departmentBioestatística - IBBpt

Arquivos