EVOP-MS03
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)
Organizers:
Preeti Dubey and Christopher Hoover (Francis I. Proctor Foundation, UCSF, USA)
Description:
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.
Ranjit Upadhyay
(Indian Institute of Technology (ISM) Dhanbad, India)"Modeling the recent outbreak of COVID-19 in India and its Control strategies using NPIs and vaccination"
Christopher Hoover
(Francis I. Proctor Foundation, UCSF, USA)"Targeted allocation of testing and vaccination reduces transmission of SARS-CoV2 and improves health equity: An agent-based modeling study"
Morganne Igoe
(University of Tennessee, Knoxville, USA)"ZCTA-level Predictors of COVID-19 Hospitalization Risk in the St. Louis Area"
Preeti Dubey
(Francis I. Proctor Foundation, UCSF, USA)"Optimal vaccine prioritization for COVID-19 between high-risk and core group in California"
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