Eric Forgoston is an associate professor of applied mathematics at Montclair State University. His research involves the study of complex physical and biological phenomena, including material transport in the ocean, the outbreak and extinction of infectious diseases, behavior of biological and robotic swarms, food web dynamics in ecological systems, and the stability of fluid flows.
“We have to be very careful when we go to release the social distancing and the other mitigation policies that have been put into place. If the disease is still in the community and there is still plenty of susceptible individuals, which there will be, if you just openly release all of these mitigation policies, then the disease will take off again.”
“The recovery rate provides a measure of how long it takes an individual who has been infected to recovery from the disease and becomes healthy again. Those two parameters are very important to understanding the spread of disease, both just in the real world but also, we need those parameters in our mathematical models to make good quantitative predictions.”