News and Event

What is clear is that more variants will emerge if people remain susceptible to catching COVID-19 in the first place, said Jagpreet Chhatwal, an assistant professor at Harvard Medical School.

Jagpreet Chhatwal, a lead investigator of the COVID-19 simulator, which models the potential future of coronavirus infection and death based on behavior changes

In this joint interview feature, following their workshop delivered at the International Society for Pharmacoeconomics and Outcomes Research’s 2020 Asia Pacific meeting (Virtual ISPOR Asia Pacific 2020; 14–16 September), Turgay Ayer (Georgia Tech, GA, USA), Jag Chhatwal (Massachusetts General Hospital, MA, USA) and Selin Merdan (Value Analytics Lab, GA, USA) discuss the practicalities of applying machine learning (ML) in the real-world evidence and health economics and outcomes research (HEOR) fields.

According to Jagpreet Chhatwal, principal investigator of the COVID-19 Simulator Website and an assistant professor at Harvard Medical School, football games can also accelerate the spread of COVID-19 because fans often travel from neighboring counties to attend them.

Ever wondered what machine learning is and how it might be applied to health economics and outcomes research (HEOR)? This informative workshop presented a technical overview of machine learning techniques, examples of machine learning conducted in healthcare and relevant to health economics, and some potential uses for machine learning moving forward.

According to the COVID-19 Simulator developed by researchers at Massachusetts General Hospital and Georgia Tech, the total deaths from the coronavirus in the six New England states could reach some 90,000 by the end of August if all restrictions were lifted.