Speaker
Description
According to the WHO, the implementation of potent double-dose vaccination programs helped significantly reduce COVID-19 case numbers and disease-acquired deaths during the pandemic. Thus, understanding the most efficacious control parameters of a double-dose vaccination strategy can be helpful in the control of emerging and re-emerging infections. To this end, we extended the traditional SEIR model framework to incorporate a double-dose vaccine. We focused on three specific outputs of the model: disease reproduction number, peak of infection trajectories, and cumulative cases. Our methodology encompassed three global sensitivity analysis (GSA) approaches: partial rank correlation coefficient (PRCC), distance correlation (DC), and Sobol' indices. Both PRCC and DC methods are dependence-based GSA approaches, while the Sobol' method is a variance-based GSA approach. Collectively, these techniques provided valuable insights into various aspects of infection control. Specifically, high rates of partial vaccination as well as a highly effective and long-lasting immunity upon full vaccination can remarkably mitigate the disease burden.
