The Centers of Disease Control and Prevention is hosting collaborative forecasting projects related to predicting the coronavirus disease spread, and anticipate the mortality and number of hospitalizations caused by the disease across the country. This critically timed project comprises a handful of teams of leading data scientists, epidemiologists, statisticians, and high-performance computing researchers from national laboratories, public universities, public health institutions, and some private sector a
We show two important changes in trend that our model DeepCOVID predicted with several weeks of anticipation: second peak in US national incidence mortality (left) and uptrend in CA incidence mortality (right); both of the pictures above use the JHU dataset as ground truth. Also see our latest results on mortality prediction on the CDC website and FiveThirtyEight . Also see our website for DeepCOVID .
Pre-print on DeepCOVID model (to appear in IAAI-21) [ PDF ], appendix [ PDF ] and other resources [ LINK ]. Pre-print on forecasting COVID-contamined flu (to appear in AAAI-21) [ PDF ] [ CODE ].