James “Mac” Hyman, the Evelyn and John G. Phillips Distinguished Professor in Mathematics at Tulane University, is using mathematical models to better understand and predict the spread of COVID-19 and to quantify the effectiveness of various efforts to stop it.
James “Mac” Hyman, the Evelyn and John G. Phillips Distinguished Professor in Mathematics at Tulane University, is using mathematical models to better understand and predict the spread of COVID-19 and to quantify the effectiveness of various efforts to stop it.
The goal of Hyman’s work in “mathematical epidemiology” at the Tulane School of Science and Engineering, is to help the public health community understand and anticipate the spread of the infection and evaluate the potential effectiveness of different approaches for bringing it under control.
Hyman and colleagues at Georgia State University and the Public Health Agency of Canada recently had a paper on COVID-19 accepted by the journal Infectious Disease Modeling and the Journal of Clinical Medicine.
The paper is based on daily reported cases of the virus for each Chinese province from the National Health Commission of China. The paper provides a methodology to predict the number of new infections five, 10, and 15 days in the future for the current epidemic in China.
Read more at Tulane University
Image: James 'Mac' Hyman, a professor at the Tulane University School of Science and Engineering, hopes his mathematical modeling will help the public health community with efforts to bring the COVID-19 outbreak under control. (Credit: Paula Burch-Celentano)
