ETIDIoH

#Serial #Interval #Distribution of #SARS-CoV-2 Infection in #Brazil (J Trav Med., summary)

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[Source: Journal of Travel Medicine, full page: (LINK). Summary, edited.]

Title: Serial Interval Distribution of SARS-CoV-2 Infection in Brazil

Running Title: Serial Interval Distribution of SARS-CoV-2 Infection in Brazil

Carlos A. Prete Jr1 (MSc), Lewis Buss2 (MD), Amy Dighe3 (PhD), Victor Bertollo Porto4 (PhD), Darlan da Silva Candido5 (MSc), Fábio Ghilardi2 (MD), Oliver G. Pybus5 (PhD), Wanderson K. de Oliveira4 (PhD), Júlio H. R. Croda4 (PhD), Ester C. Sabino2 (PhD), Nuno  Rodrigues Faria2,3,5 (PhD), Christl A. Donnelly3,6 (PhD), Vítor H. Nascimento1 (PhD).

1. Department of Electronic Systems Engineering, University of São Paulo, Brazil; 2. Instituto de Medicina Tropical, University of São Paulo, Brazil; 3. MRC Centre for Global  Infectious Disease Analysis, Department of Infectious Disease; Epidemiology, School of  Public Health, Imperial College London, United Kingdom; 4. Secretaria de Vigilância em  Saúde, Ministério da Saúde, Brazil; 5. Department of Zoology, University of Oxford,  United Kingdom; 6. Department of Statistics, University of Oxford, United Kingdom

© International Society of Travel Medicine 2020.

Downloaded from https://academic.oup.com/jtm/article-abstract/doi/10.1093/jtm/taaa115/5876265 by guest on 25 July 2020

UNCORRECTED MANUSCRIPT

Funding: This work was supported by a Medical Research Council (MR/S0195/1) and  FAPESP (2018/14389-0) CADDE partnership award and a John Fell Research Fund (grant  005166). NRF is supported by a Wellcome Trust and Royal Society Sir Henry Dale  Fellowship (204311/Z/16/Z). DDSC is supported by the Clarendon Fund and by the Oxford  University Zoology Department. CAPJ and VHN are supported in part by grants from  FAPESP (2018/12579-7), CNPq (304714/2018-6) and CAPES (Finance code 001). CAD is  thankful for Centre funding from the UK Medical Research Council (MRC) and the UK  Department for International Development (DFID) under the MRC/DFID Concordat  agreement and is also part of the EDCTP2 programme supported by the European Union  (MR/R015600/1). AD is also supported by the UK Medical Research Council (MRC).

Contact details of corresponding author: Vítor H. Nascimento (vitnasci@usp.br) Department of Electronic Systems Engineering, University of São Paulo, Brazil Phone Number: +55-11-99293-5264

Corresponding Address: Dept. de Engenharia de Sistemas Eletrônicos, Escola  Politécnica da Univ. de São Paulo – Av. Prof. Luciano Gualberto, trav. 3, n. 158, São Paulo,  SP, Brazil. ZIP Code: 05508-900.

 

Highlights

Using 65 transmission pairs of SARS-CoV-2 reported to the Brazilian Ministry of Health  we estimate the mean and standard deviation for the serial interval to be 2.97 and 3.29  days respectively. We also present a model for the serial interval probability distribution  using only two parameters.

Keywords: SARS-CoV-2; COVID-19; Epidemiology; Brazil.

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