Modeling and Simulations of COVID-19 impact and mitigation strategies
Monday, June 14 at 5:45pm (PDT)Tuesday, June 15 at 01:45am (BST)Tuesday, June 15 09:45am (KST)
Preeti Dubey and Christopher Hoover (Francis I. Proctor Foundation, UCSF, USA)
COVID-19 pandemic has caused record number of infections around the globe in a year. The mitigation strategies (vaccination and non-pharmaceutical interventions (NPIs) seem not to be as effective as were anticipated with the rapid emergence of novel SARS-COV-2 mutations and asymptomatic transmission. This minisymposium will cover three types of mathematical models: (i) compartmental, (ii) stochastic, and (iii) agent-based model (ABM). The topics will include methods for modeling simulations, model calibration, parameter estimation, time-varying effective reproduction number, inclusion of heterogeneity of populations and compliance and non-compliance of NPIs, efficacy of NPIs and vaccine, place and equity-based distribution of vaccine. They will be illustrated using different datasets of COVID-19 cases from different regions of the USA such as California, San Francisco, St. Louis, optimal contact tracing and vaccination prioritization, asymptomatic transmission and mitigation strategies.