| Literature DB >> 33562465 |
Raul Nistal1, Manuel de la Sen1, Jon Gabirondo1, Santiago Alonso-Quesada1, Aitor J Garrido2, Izaskun Garrido2.
Abstract
Two discrete mathematical SIR models (Susceptible-Infectious-Recovered) are proposed for modelling the propagation of the SARS-CoV-2 (COVID-19) through Spain and Italy. One of the proposed models is delay-free while the other one considers a delay in the propagation of the infection. The objective is to estimate the transmission, also known as infectivity rate, through time taking into account the infection evolution data supplied by the official health care systems in both countries. Such a parameter is estimated through time at different regional levels and it is seen to be strongly dependent on the intervention measures such as the total (except essential activities) or partial levels of lockdown. Typically, the infectivity rate evolves towards a minimum value under total lockdown and it increases again when the confinement measures are partially or totally removed.Entities:
Keywords: COVID-19; digital health; epidemiology; global health; infectious disease; modelization
Year: 2021 PMID: 33562465 PMCID: PMC7915204 DOI: 10.3390/biology10020121
Source DB: PubMed Journal: Biology (Basel) ISSN: 2079-7737