Crunching the Numbers on Disease
Mathematical model forecasts the future spread of the coronavirus
Posted in: Applied Mathematics & Statistics, CSAM Research
With New Jersey reopening in phases, a mathematical model built by a Montclair State University professor forecasts how social distancing, testing and tracing can help policymakers understand how various approaches may work to curb the coronavirus.
“The pandemic is certainly not over,” says Professor Eric Forgoston, chairperson of Applied Mathematics and Statistics, echoing public health officials and the World Health Organization, which recently warned “the worst is yet to come.”
The models show what could happen given different scenarios as New Jersey eases restrictions. The study was co-authored by Forgoston and Michael Thorne, research collaborator and computational biologist at the British Antarctic Survey in Cambridge, UK.
Read the full article in the University News Center