New modelling application can help cut Covid-19 infections, deaths by up to 89%: NTU scientists
From left to right: Assistant Professor Yan Zhenzhen (School of Physical and
Mathematical Sciences)
Assistant Professor Zhang Limao (School
of Civil and Environmental Engineering)
Professor May O. Lwin (WKW
School of Communication and Information)
A team of scientists from Nanyang Technological University, Singapore (NTU Singapore) has developed a predictive computer model that, when tested on real pandemic data, proposed strategies that would have reduced the rate of both COVID-19 infections and deaths by an average of 72 per cent, based on a sample from four countries.