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A Statistical and Dynamical Model for Forecasting COVID-19 Deaths based on a Hybrid Asymmetric Gaussian and SEIR Construct

2020-06-23

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> The limitations of forecasting (real-time statistical) and predictive (dynamic epidemiological) models have become apparent as COVID-19 has progressed from a rapid exponential ascent to a slower decent, which is dependent on unknowable parameters such as extent of social distancing and easing. We present a means to optimize a forecasting model by functionalizing our previously...

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Literature Corpus work
7652698b-ea72-50a4-a847-f365f43b620e
DOI
10.1101/2020.06.21.20136937
Open publication

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A Statistical and Dynamical Model for Forecasting COVID-19 Deaths based on a Hybrid Asymmetric Gaussian and SEIR ConstructDOI 10.1101/2020.06.21.20136937
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