Publicação: Two hundred days of COVID-19 in São Paulo State, Brazil
dc.contributor.author | De Almeida, Gabriel Berg [UNESP] | |
dc.contributor.author | Pronunciate, Micheli [UNESP] | |
dc.contributor.author | Grotto, Rejane Maria Tommasini [UNESP] | |
dc.contributor.author | Azevedo Pugliesi, Edmur [UNESP] | |
dc.contributor.author | Guimarães, Raul Borges [UNESP] | |
dc.contributor.author | Vilches, Thomas Nogueira | |
dc.contributor.author | Mendes Coutinho, Renato | |
dc.contributor.author | De Castro Catão, Rafael | |
dc.contributor.author | Ferreira, Claudia Pio [UNESP] | |
dc.contributor.author | Magno Castelo Branco Fortaleza, Carlos [UNESP] | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Universidade Estadual de Campinas (UNICAMP) | |
dc.contributor.institution | Universidade Federal do ABC (UFABC) | |
dc.contributor.institution | Federal University of Espírito Santo (UFES) | |
dc.date.accessioned | 2021-06-25T11:09:09Z | |
dc.date.available | 2021-06-25T11:09:09Z | |
dc.date.issued | 2020-01-01 | |
dc.description.abstract | Two 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.affiliation | Clinical Hospital of Botucatu Medical School (HCFMB) | |
dc.description.affiliation | São Paulo State University (UNESP) Botucatu Medical School Department of Infectious Diseases | |
dc.description.affiliation | São Paulo State University (UNESP) School of Agriculture | |
dc.description.affiliation | São Paulo State University (UNESP) School of Technology and Sciences | |
dc.description.affiliation | University of Campinas (UNICAMP) Institute of Mathematics Statistics and Scientific Computation | |
dc.description.affiliation | Federal University of Abc (UFABC) Center for Mathematics Computation and Cognition | |
dc.description.affiliation | Federal University of Espírito Santo (UFES) | |
dc.description.affiliation | São Paulo State University (UNESP) Institute of Biosciences | |
dc.description.affiliationUnesp | Clinical Hospital of Botucatu Medical School (HCFMB) | |
dc.description.affiliationUnesp | São Paulo State University (UNESP) Botucatu Medical School Department of Infectious Diseases | |
dc.description.affiliationUnesp | São Paulo State University (UNESP) School of Agriculture | |
dc.description.affiliationUnesp | São Paulo State University (UNESP) School of Technology and Sciences | |
dc.description.affiliationUnesp | São Paulo State University (UNESP) Institute of Biosciences | |
dc.identifier | http://dx.doi.org/10.1017/S0950268820002927 | |
dc.identifier.citation | Epidemiology and Infection. | |
dc.identifier.doi | 10.1017/S0950268820002927 | |
dc.identifier.issn | 1469-4409 | |
dc.identifier.issn | 0950-2688 | |
dc.identifier.lattes | 8022527468369459 | |
dc.identifier.lattes | 2052749698204617 | |
dc.identifier.orcid | 0000-0002-9925-5374 | |
dc.identifier.orcid | 0000-0002-9404-6098 | |
dc.identifier.scopus | 2-s2.0-85097805961 | |
dc.identifier.uri | http://hdl.handle.net/11449/208255 | |
dc.language.iso | eng | |
dc.relation.ispartof | Epidemiology and Infection | |
dc.source | Scopus | |
dc.title | Two hundred days of COVID-19 in São Paulo State, Brazil | en |
dc.type | Artigo | |
dspace.entity.type | Publication | |
unesp.author.lattes | 8022527468369459[5] | |
unesp.author.lattes | 2052749698204617[9] | |
unesp.author.orcid | 0000-0002-1712-0899 0000-0002-1712-0899[1] | |
unesp.author.orcid | 0000-0002-4035-9486 0000-0002-4035-9486[3] | |
unesp.author.orcid | 0000-0002-9925-5374[5] | |
unesp.author.orcid | 0000-0002-9404-6098[9] | |
unesp.campus | Universidade Estadual Paulista (Unesp), Instituto de Biociências, Botucatu | pt |
unesp.department | Geografia - FCT | pt |
unesp.department | Bioestatística - IBB | pt |