Published October 23, 2021 | Version v1.0.0
Software Open

Repository of the "Model-based estimation of transmissibility and reinfection of SARS-CoV-2 P.1 variant" code

  • 1. Universidade Federal do ABC, Santo André, SP, Brazil
  • 2. Universidade Estadual de Campinas, Campinas, SP, Brazil
  • 3. Universidade Estadual Paulista, São Paulo, SP, Brazil
  • 4. Vigilância Epidemiológica, Secretaria de Saúde de Florianópolis, Florianópolis, SC, Brazil
  • 5. Universidade de São Paulo, São Paulo, SP, Brazil
  • 6. Centers for Disease Control and Prevention, Atlanta, USA
  • 7. Universidade Federal do Maranhão, São Luís, MA, Brazil
  • 8. Faculdade de Ciências Médicas da Santa Casa de São Paulo – São Paulo, SP, Brazil

Description

README

This repository provides the script to reproduce the fitting analysis and figures from Coutinho et al. 2021

Notes:

  • This code runs best on R version 4.0.3 or above.
  • The code is also optimized for [linux].
  • When you first run the code from Run_analysis.R, R will install all required packages.
  • Running all.params.exploration() and fit_minima() takes a large number of hours to complete. For convenience, we also provide the tables resulting from these function as .csv files.

Run the file Run_analysis.R to reproduce the paper`s main analysis and sensitivity analysis.

The following values correspond to the parameters presented in Table 1:

  • REL.BETA.RATE2: Relative transmission rate for the new variant
  • PROB.REINFEC.V2: Relative force of reinfection of P.1
  • prevalence: Prevalence of previous infection (2020-11-01) (%)
  • INIT.V2.FRAC: Initial fraction of the new variant (2020-11-01)
  • r: Intrinsic growth rate
  • IHR.V2.PROP: odds ratio of P.1 parameters relative to wild variant

References:

Coutinho, R. M., Marquitti, F. M. D., Ferreira, L. S., Borges, M. E., da Silva, R. L. P., Canton, O., … & Prado, P. I. (2021). Model-based estimation of transmissibility and reinfection of SARS-CoV-2 P. 1 variant. medRxiv.

Files

covid19br/model-P1-variant-v1.0.0.zip

Files (17.0 MB)

Name Size Download all
md5:333ff5cc78b5f3a53cb739631845b711
17.0 MB Preview Download

Additional details