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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 percent, based on a sample from four countries. ....
New modelling application can help cut Covid-19 infections, deaths by up to 89%: NTU scientists straitstimes.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from straitstimes.com Daily Mail and Mail on Sunday newspapers.
Study highlights mainstream news media’s role in public health communication during the pandemic A study by Nanyang Technological University, Singapore (NTU Singapore) has found that as the type of COVID-19 misinformation rectified by Singapore s mainstream news media evolved over the course of the pandemic, the role played by the media in debunking those myths became increasingly important to citizens in the nation s fight to manage the outbreak. Out of 2,000 news articles on COVID-19 published between 1 January to 30 April 2020, the NTU team analyzed 164 news articles. The team observed that news reports correcting science and health-related COVID-19 misinformation were dominant at the start of the outbreak due to the uncertainty surrounding the nature of the coronavirus, but then tapered off over the course of the pandemic s first four months. ....
A study by Nanyang Technological University, Singapore (NTU Singapore) has found that as the type of COVID-19 misinformation rectified by Singapore’s mainstream news media evolved over the course of the pandemic, the role played by the media in debunking those myths became increasingly important to citizens in the nation’s fight to manage the outbreak. Out of 2,000 news articles on COVID-19 published between 1 January to 30 April 2020, the NTU team analysed 164 news articles. The team observed that news reports correcting science and health-related COVID-19 misinformation were dominant at the start of the outbreak due to the uncertainty surrounding the nature of the coronavirus, but then tapered off over the course of the pandemic’s first four months. ....