TEST SEIRCRT ;ˈsəːkrɪt ;: For the Health of Our Communities

The 2019 coronavirus disease (COVID-19) cases that are being confirmed in Canada provide an opportunity to expand the epidemic model for the simulation of disease infection spread: Susceptible- Exposed-Infectious-Recovered (SEIR) This paper develops a SEIRCRT ;?s??kr?t ;model that integrates the Institute for Disease Modeling?s SEIR model and Critical Race Theory (CRT) to answer the question: What is in a SEIRCRT model? SEIRCRT provides a basic modeling structure from a CRT lens to simulate, predict and forecast COVID-19 cases, comorbidities affecting African Canadians, and deaths through predictive modeling Knowledge of SEIRCRT is critical to characterize the severity of COVID-19 in this early stage To this end, the purpose of this paper is to describe SEIRCRT?s model and summarize its key characteristics SEIRCRT as a public health framework provides insight into the conclusions drawn about race and COVID-19, and expands our thinking about what health disparities mean for African Canadian communities