Work

Data for: A catalytic model for SARS-CoV-2 reinfections: Performing simulation-based validation and extending the model to include nth infections

Year: 2023

Type: dataset

Abstract: For code and more details see: inf_for_sbv.RDS - simluated timeseries of primary infections used in the simulation-based validation of reinfections. inf_for_sbv_third.RDS - simluated timeseries of primary infections used in the simulation-based validation of third infections. 3_posterior_90_null_correctdata.RData - posterior samples from the MCMC fitting procedure (as used in the manuscript) when not considering a second lambda parameter (to third infections) 3_posterior_90_null_l2_correctdata.RData - posterior samples from the MCMC fitting procedure (as used in the manuscript) when considering a second lambda parameter (to third infections) 3_sim_90_null_correctdata.RDS - simulation results when not considering a second lambda parameter for third infections (as used in the manuscript) 3_sim_90_null_l2_correctdata.RDS - simulation results when considering a second lambda parameter for third infections (as used in the manuscript)

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.8354837

Authors: Lombard, Belinda, Van Schalkwyk, Cari, Pulliam, Juliet

Institution: Stellenbosch University

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Wellcome Trust