B0304
Title: SEIRD model for Qatar: A case study
Authors: Ryad Ghanam - Virginia Commonwealth University in Qatar (Qatar) [presenting]
Abstract: The COVID-19 outbreak of 2020 has required many governments to develop mathematical-statistical models of the outbreak prevalence for policy and planning purposes. A tutorial on building a compartmental model is provided using the susceptible, exposed, infected, recovered and deaths (SEIRD) model for the state of Qatar. A Bayesian framework is used to perform both parameter estimation and predictions. The use of interventions in the model attempts to quantify the impact of various government attempts to slow the spread of the virus. Predictions are also made to determine when the peak of active infections will occur. The data from the Johns Hopkins Corona Virus Mapping project is used.
