A Mechanistic Model for Long COVID Dynamics-Reference-Cited by-同舟云学术

A Mechanistic Model for Long COVID Dynamics

Published:2023-11-03 Issue:21 Volume:11 Page:4541
ISSN:2227-7390
Container-title:Mathematics
language:en
Short-container-title:Mathematics

Author:

Derrick Jacob¹,Patterson Ben¹^ORCID,Bai Jie²,Wang Jin¹

Affiliation:

1. Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA

2. School of Mathematics and Statistics, Liaoning University, Shenyang 110036, China

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.

Funder

China Society for Industrial and Applied Mathematics

National Institutes of Health

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Link

https://www.mdpi.com/2227-7390/11/21/4541/pdf

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