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New model proves successful in predicting COVID-19 infection rates two to three weeks in advance — …


A new study by Texas A&M University researchers published in PLOS ONE details a new model for making short-term projections of daily COVID-19 cases that is accurate, reliable and easily used by public health officials and other organizations.

Led by Hongwei Zhao, professor of biostatistics at the Texas A&M School of Public Health, researchers used a method based on the SEIR (susceptible, exposed, infected and recovered states) framework to project COVID-19 incidence in the upcoming two to…



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