COVID

Machine Learning for Multiscale Analysis of Biomedical Data

COVID-19

Research to tackle COVID-19 Pandemic

Overview: The year 2020 has uncovered one of the biggest pandemics in history, the novel coronavirus (COVID-19) that was first reported in Wuhan, Hubei Province, China in December 2019. Thus far, about 267013 confirmed cases and about 11201 deaths were reported worldwide. While China has made a large effort to shrink the outbreak, COVID-19 has developed into a pandemic in 185 countries. Case numbers are alarming as the virus spreads in Europe, Iran, South Korea, and Japan. 


State  of the art: Epidemiological mathematical models have been developed to help policy makers to take the right decisions during COVID-19 pandemic. While there are many mathematical models developed at epidemiological level for COVID-19, there is none so far at within-host level to understand COVID-19 replication cycle, and its interactions with the immune system.

Our research in COVID-19  aims to:


  • derive mathematical models to disentangle the multifactorial during COVID-19


  • propose control theoretical approached to tailor therapies in COVID-19


  • develop  multiscale epidemiliogical models as a virtual disease tool to evaluate therapies and public health policies during COVID-19 pandemic.

Relevant Links in this Field:


  • Special Issue in ANNUAL REVIEWS IN CONTROL: Systems&Control Research Efforts Against COVID-19 and Future Pandemics [Link]


  • E.A Hernandez-Vargas, Jorge X. Velasco-Hernandez. In-host Mathematical Modelling of COVID-19 in Humans. Annual Reviews in Control. 2020 [Link]


  • P. Abuin, A. Anderson, A. Ferramosca, E.A Hernandez-Vargas, A. H Gonzalez. Characterization of SARS-CoV-2 Dynamics in the Host. Annual Reviews in Control. 2020 [Link]


  • C. Azanza, E.A. Hernandez-Vargas. Epidemiological characteristics of COVID-19 in Mexico and the potential impact of lifting confinement across regions. Frontiers in Physics. 8: 1-8, 2020 [Link]


  • A. E. S. Almocera, Griselda Quiroz, E. A. Hernandez-Vargas. Stability Analysis in COVID-19 Within-Host Model with Immune Response. Communications in Nonlinear Science and Numerical Simulation. 2020 [Link]


  • G. Hernandez-Mejia, E.A. Hernandez-Vargas. When is SARS-CoV-2 in your shopping list?. Mathematical Biosciences. 328(108434): 1-7, 2020 [Link]