A new model has proved successful in predicting COVID-19 infection rates two to three weeks in advance, researchers report. The new model could help public health officials and other organizations get accurate, reliable short-term projections of daily COVID-19 cases. The 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 three weeks based on observed incidence cases only. The model assumes a constant or small change in the transmission rate of the virus that causes COVID-19 over a short period. The model uses publicly available data on new reported cases of COVID-19 in Texas from the COVID-19 Data Repository by the Center for Systems Science and Engineering at Johns Hopkins University. The researchers used this data on disease incidence for Texas and a selection of counties that included the Texas A&M campus to estimate the COVID-19 transmission rate.