Leveraging Publicly Available Data to Estimate a Real-Time Reproduction Number (Rt) for Covid-19- A Comparison of Two Methods

Leveraging Publicly Available Data to Estimate a Real-Time Reproduction Number (Rt) for Covid-19- A Comparison of Two Methods

Leveraging Publicly Available Data to Estimate a Real-Time Reproduction Number (Rt) for Covid-19- A Comparison of Two Methods 150 150 Avalon Health Economics LLC

John Schneider and Amanda Howarth collaborated with Broadstreet Health Economics and Outcomes Research on a poster entitled ‚ÄúLeveraging Publicly Available Data to Estimate a Real-Time Reproduction Number (Rt) for Covid-19- A Comparison of Two Methods”.

Objective: R0, the number of cases resulting from one infectious person in a susceptible population, is a common metric in infectious disease research. Newly-developed methods for real-time approximations (Rt) offer promise for monitoring COVID-19 trends using real-world data. The objective was to compare available methods of calculating Rt and understand drivers in variability, using available regional public surveillance data.

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