COVID-19 Status Forecasting Using New Viral variants and Vaccination Effectiveness Models. (arXiv:2201.10356v1 [cs.LG])

Background: Recently, a high number of daily positive COVID-19 cases have
been reported in regions with relatively high vaccination rates; hence, booster
vaccination has become necessary. In addition, infections caused by the
different variants and correlated factors have not been discussed in depth.
With large variabilities and different co-factors, it is difficult to use
conventional mathematical models to forecast the incidence of COVID-19.

Methods: Machine learning based on long short-term memory was applied to
forecasting the time series of new …

arxiv covid covid-19 forecasting variants