Research Teams and Lines

Mathematical modeling of the Coronavirus disease 2019 (COVID-19)

Publications

Data and code: https://github.com/momat-ucm/T-SIR-T

  • A.M. Ramos, M. Vela-Pérez, M.R. Ferrández, A.B. Kubik B. Ivorra, Modeling the impact of SARS-CoV-2 variants and vaccines on the spread of COVID-19. Communications in Communications in Nonlinear Science and Numerical Simulation, Vol. 102, 2021, 105937. DOI link: https://doi.org/10.1016/j.cnsns.2021.105937.

Data and code: https://github.com/momat-ucm/T-SIR-T

Short video about the paper

 

 

Highlights

Comparison of simulations of possible scenarios published on 17 January 2021 (http://www.doi.org/10.13140/RG.2.2.32580.24967/2) with official data up to 14 February 2021

Modeling the impact of SARS-CoV-2 variants and vaccines on the spread of COVID-19 (17 January 2021)

A simple but complex enough θ-SIR type model to be used with COVID-19 real data. Application to the case of Italy (8 July 2020)

 

Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China (1 April 2020)

 

 

Other Epidemiology Case Studies


News

 


Software