EurekAlert October 26, 2020
Researchers at Leigh University, working under an NIH funded program, have developed a new approach that uses computational models based on data, in concert with human judgement, to produce more accurate forecasts of COVID-19 outbreaks. According to the researchers their approach has the potential to forecast outbreaks more accurately than current ensemble predictions because it incorporates computational models trained on formatted datasets and predictions from humans who have access to unstructured data. They will also model possible interventions by collecting probabilistic predictions from experts on optimal interventions to reduce the spread of COVID-19 in the U.S., offering insight into what strategies might be most effective in preventing community spread and adverse health outcomes…read more.