Fizzle Testing: An Equation Utilizing Random Surveillance to Help Reduce COVID-19 Risks

Fizzle Testing: An Equation Utilizing Random Surveillance to Help Reduce COVID-19 Risks

A closed-form equation, the <i>Fizzle Equation</i>, was derived from a mathematical model predicting Severe Acute Respiratory Virus-2 dynamics, optimized for a 4000-student university cohort. This equation sought to determine the frequency and percentage of random surveillance testing re...

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Bibliographic Details
Main Authors: Christopher A. Cullenbine, Joseph W. Rohrer, Erin A. Almand, J. Jordan Steel, Matthew T. Davis, Christopher M. Carson, Steven C. M. Hasstedt, John C. Sitko, Douglas P. Wickert
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Mathematical and Computational Applications
Subjects:
COVID-19
SEIR
simulation
surveillance
Online Access:https://www.mdpi.com/2297-8747/26/1/16

Internet

https://www.mdpi.com/2297-8747/26/1/16

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