Author: Paul F Rodriguez
Title: Predicting Whom to Test is More Important Than More Tests - Modeling the Impact of Testing on the Spread of COVID-19 Virus By True Positive Rate Estimation Document date: 2020_4_6
ID: 06vc2y9y_11
Snippet: In the next sections the SEIR model is adapted to incorporate TP rates, and using parameters published elsewhere, the model is applied to South Korea and New York state. A vital question is how much impact an increase in testing will have in New York. We run the model to show tradeoffs and potential benefits of more testing, better predictions, and possible growth curves......
Document: In the next sections the SEIR model is adapted to incorporate TP rates, and using parameters published elsewhere, the model is applied to South Korea and New York state. A vital question is how much impact an increase in testing will have in New York. We run the model to show tradeoffs and potential benefits of more testing, better predictions, and possible growth curves.
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