Method to monitor the evolution of an epidemic in real time
Justin Trujillo, Valerica Raicu

TL;DR
This paper introduces a real-time monitoring method for epidemics that tracks key metrics like infection, recovery, and mortality rates, aiding timely assessment of disease spread and response effectiveness.
Contribution
It presents a novel approach to observe and quantify epidemic dynamics in real time without relying on future evolution assumptions, demonstrated on COVID-19.
Findings
Real-time tracking of infection, recovery, and mortality rates.
Effective assessment of mitigation measures during COVID-19.
No assumptions needed about future epidemic evolution.
Abstract
The emergence of an epidemic evokes the need to monitor its spread and assess and validate any mitigation measures enacted by governments and administrative bodies in real time. We present here a method to observe and quantify this spread and the response of affected populations and governing bodies and apply it to COVID-19 as a case study. This method provides means to simultaneously track in real time quantities such as the mortality and the recovery rates as well as the number of new infections caused by an infected person. With sufficient data, this method enables thorough monitoring and assessment of an epidemic without assumptions regarding the evolution of the pandemic in the future.
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Taxonomy
TopicsData-Driven Disease Surveillance · COVID-19 epidemiological studies · Anomaly Detection Techniques and Applications
