Quantitative approaches to understanding the immune response to SARS-CoV-2 infection скачать в хорошем качестве

Quantitative approaches to understanding the immune response to SARS-CoV-2 infection

Quantitative approaches to understanding the immune response to SARS-CoV-2 infection Morgan Craig (Université de Montréal) 19 juin 2020 - June 19 2020 Colloque des sciences mathématiques du Québec CRM-ISM http://www.crm.math.ca/epidemiosante/ Abstract: COVID-19 is typically characterized by a range of respiratory symptoms that, in severe cases, progress to acute respiratory distress syndrome (ARDS). These symptoms are also frequently accompanied by a range of inflammatory indications, particularly hyper-reactive and dysregulated inflammatory responses in the form of cytokine storms and severe immunopathology. Much remains to be uncovered about the mechanisms that lead to disparate outcomes in COVID-19. Here, quantitative approaches, especially mechanistic mathematical models, can be leveraged to improve our understanding of the immune response to SARS-CoV-2 infection. Building upon our prior work modelling the production of innate immune cell subsets and the viral dynamics of HIV and oncolytic viruses, we are developing a quantitative framework to interrogate open questions about the innate and adaptive immune reaction in COVID-19. In this talk, I will outline our recent work modelling SARS-CoV-2 viral dynamics and the ensuing immune response at both the tissue and systemic levels. A portion of this work is done as part of an international and multidisciplinary coalition working to establish a comprehensive tissue simulator (physicell.org/covid19 [1]), which I will also discuss in more detail.