A Mechanistic Model for Long COVID Dynamics

Jacob Derrick, Ben Patterson, Jie Bai () and Jin Wang
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Jacob Derrick: Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA
Ben Patterson: Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA
Jie Bai: School of Mathematics and Statistics, Liaoning University, Shenyang 110036, China
Jin Wang: Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA

Mathematics, 2023, vol. 11, issue 21, 1-16

Abstract: Long COVID, a long-lasting disorder following an acute infection of COVID-19, represents a significant public health burden at present. In this paper, we propose a new mechanistic model based on differential equations to investigate the population dynamics of long COVID. By connecting long COVID with acute infection at the population level, our modeling framework emphasizes the interplay between COVID-19 transmission, vaccination, and long COVID dynamics. We conducted a detailed mathematical analysis of the model. We also validated the model using numerical simulation with real data from the US state of Tennessee and the UK.

Keywords: COVID-19; long COVID; mathematical modeling; numerical simulation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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