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SYDNEY, Aug. 7, 2023 /PRNewswire/ New research shows it is possible to accurately predict hospital admission numbers due to COVID-19 up to four weeks in advance with an Artificial Intelligence (AI) based system using COVID wastewater sampling. The research was led by Professor Qilin Wang and Dr Xuan Li from the University of Technology Sydney's Faculty of Engineering and IT (pictured) together with researchers from UNSW Sydney, Delft University of Technology and Morgan State University. Image: Andy Roberts. The study, published in the journal Nature Communications, used wastewater data from 159 counties in the US, covering nearly 100 million Americans, along with US hospital admission records, to develop the prediction model. The research was led by Professor Qilin Wang and Dr Xuan Li from the University of Technology Sydney together with researchers from UNSW Sydney, Delft University of Technology and Morgan State University. Dr Li was recently awarded a two-year grant from the

New south walesUnited statesStuart khanAndy robertsQilin wangLi gaoXuan liSamendra sherchanMark van loosdrechtChuan liuUniversity of technology sydneyAustralian academy of scienceDelft university of technologyMorgan state universityEnvironment fundAustralian academy of science wh gladstones population