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

Author(s)

de Almeida, Gabriel Berg ^{[1, 2]} ; Pronunciate, Micheli ^[2] ; Grotto, Rejane Maria Tommasini ^{[3, 1]} ; Azevedo Pugliesi, Edmur ^[4] ; Guimaraes, Raul Borges ^[4] ; Vilches, Thomas Nogueira ^[5] ; Mendes Coutinho, Renato ^[6] ; Catao, Rafael de Castro ^[7] ; Ferreira, Claudia Pio ^[8] ; Fortaleza, Carlos Magno Castelo Branco ^{[1, 2]}

Affiliation

^[1] Botucatu Med Sch HCFMB, Clin Hosp, Botucatu, SP - Brazil

^[2] Sao Paulo State Univ UNESP, Botucatu Med Sch, Dept Infect Dis, Botucatu, SP - Brazil

^[3] Sao Paulo State Univ UNESP, Sch Agr, Botucatu, SP - Brazil

^[4] Sao Paulo State Univ UNESP, Sch Sci & Technol, Presidente Prudente - Brazil

^[5] Univ Campinas UNICAMP, Inst Math Stat & Sci Computat, Campinas - Brazil

^[6] Fed Univ ABC UFABC, Ctr Math Computat & Cognit, Santo Andre, SP - Brazil

^[7] Fed Univ Espirito Santo UFES, Dept Geog, Vitoria - Brazil

^[8] Sao Paulo State Univ UNESP, Inst Biosci, Botucatu, SP - Brazil

• Document type: Journal article
• Source: EPIDEMIOLOGY AND INFECTION; v. 148, DEC 2 2020.
• Web of Science Citations: 1

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 Sao 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 analysed the number of new cases per day in each regional health department and calculated the effective reproduction number (R-t) 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. (AU)

• FAPESP's process: 18/24058-1 - Arboviroses: dynamics and vector control
• Grantee: Cláudia Pio Ferreira
• Support type: Regular Research Grants
• FAPESP's process: 19/22157-5 - Modelling and biological control of vector-borne diseases: the case of Malaria and Dengue
• Grantee: Cláudia Pio Ferreira
• Support type: Regular Research Grants