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 ...
In this paper, we use an SIRD model to analyze the evolution of the COVID-19 pandemic in Spain, cau...
The COVID-19 pandemic has sparked an intense debate about the hidden factors underlying the dynamic...
The availability of the epidemiological data strongly affects the reliability of several mathematica...
The impact of the SARS-CoV-2 (COVID-19) on the world has been partially controlled through different...
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has been ongoing for over...
Mathematical models have been remarkable tools for knowing in advance the appropriate time to enforc...
The paper concerns a new forecast model that includes the class of undiagnosed infected people, and ...
On 11 March 2020, coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Or...
A previously developed mechanistic model of COVID-19 transmission has been adapted and applied here ...
Due to the recent evolution of the COVID-19 outbreak, the scientific community is making efforts to ...
The present work deals with an Ordinary Differential Equation (ODE) model specifically designed to d...
The pressing need to restart socioeconomic activities locked-down to control the spread of SARS-CoV-...
We explore the spatial and temporal spread of the novel SARS-CoV-2 virus under containment measures ...
International audienceWe are trying to test the capacity of a simplified macroscopic virus-centric m...
In this paper, we study the effectiveness of the modelling approach on the pandemic due to the sprea...
In this paper, we use an SIRD model to analyze the evolution of the COVID-19 pandemic in Spain, cau...
The COVID-19 pandemic has sparked an intense debate about the hidden factors underlying the dynamic...
The availability of the epidemiological data strongly affects the reliability of several mathematica...
The impact of the SARS-CoV-2 (COVID-19) on the world has been partially controlled through different...
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has been ongoing for over...
Mathematical models have been remarkable tools for knowing in advance the appropriate time to enforc...
The paper concerns a new forecast model that includes the class of undiagnosed infected people, and ...
On 11 March 2020, coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Or...
A previously developed mechanistic model of COVID-19 transmission has been adapted and applied here ...
Due to the recent evolution of the COVID-19 outbreak, the scientific community is making efforts to ...
The present work deals with an Ordinary Differential Equation (ODE) model specifically designed to d...
The pressing need to restart socioeconomic activities locked-down to control the spread of SARS-CoV-...
We explore the spatial and temporal spread of the novel SARS-CoV-2 virus under containment measures ...
International audienceWe are trying to test the capacity of a simplified macroscopic virus-centric m...
In this paper, we study the effectiveness of the modelling approach on the pandemic due to the sprea...
In this paper, we use an SIRD model to analyze the evolution of the COVID-19 pandemic in Spain, cau...
The COVID-19 pandemic has sparked an intense debate about the hidden factors underlying the dynamic...
The availability of the epidemiological data strongly affects the reliability of several mathematica...