STATISTICAL METHODS FOR REAL-TIME FORECASTS OF INFECTIOUS DISEASE: EXPANDING DYNAMIC TIME-SERIES AND
MACHINE LEARNING
APPROACHES FOR PANDEMIC SCENARIOS
(1) to develop scalable, computationally efficient Bayesian hierarchical compartmental models to flexibly respond to state-level public health forecasting needs, and
(2) to design models and conduct analyses to draw robust inference about the effectiveness of interventions in impacting the reproductive rate of SARS-CoV-2 infections within the US to build an evidence-base for continued responses to COVID-19 and future pandemics.
Award date: 6/1/2020
Award amount: $78,507
Award date: 8/19/2016 - 2019
Award amount: $1,481,444
‘19: $380,459
‘18: $372,122
‘17: $368,020
‘16: $360,843
Grand Total: $1,559,951
https://taggs.hhs.gov/Detail/AwardDetail?arg_AwardNum=R35GM119582&arg_ProgOfficeCode=127
Now why on earth would a COVID-19 grant award be so much smaller the the previous 4 years?
Notice on “budget year” 2019 & 2020 are coded budget year 4
Doesn’t matter how they parse it it fucking stinks…