Article

Assessing the Impact of (Self)-Quarantine through a Basic Model of Infectious Disease Dynamics

Details

Citation

Farkas JZ & Chatzopoulos R (2021) Assessing the Impact of (Self)-Quarantine through a Basic Model of Infectious Disease Dynamics. Infectious Disease Reports, 13 (4), pp. 978-992. https://doi.org/10.3390/idr13040090

Abstract
We introduce a system of differential equations to assess the impact of (self-)quarantine of symptomatic infectious individuals on disease dynamics. To this end we depart from using the classic bilinear infection process, but remain within the framework of the mass-action assumption. From the mathematical point of view, the model we propose is interesting due to the lack of continuous differentiability at disease-free steady states, which implies that the basic reproductive number cannot be computed following established mathematical approaches for certain parameter values. However, we parametrise our mathematical model using published values from the COVID-19 literature, and analyse the model simulations. We also contrast model simulations against publicly available COVID-19 test data, focusing on the first wave of the pandemic during March–July 2020 in the UK. Our simulations indicate that actual peak case numbers might have been as much as 200 times higher than the reported positive test cases during the first wave in the UK. We find that very strong adherence to self-quarantine rules yields (only) a reduction of 22% of peak numbers and delays the onset of the peak by approximately 30–35 days. However, during the early phase of the outbreak, the impact of (self)-quarantine is much more significant. We also take into account the effect of a national lockdown in a simplistic way by reducing the effective susceptible population size. We find that, in case of a 90% reduction of the effective susceptible population size, strong adherence to self-quarantine still only yields a 25% reduction of peak infectious numbers when compared to low adherence. This is due to the significant number of asymptomatic infectious individuals in the population.

Keywords
infectious disease dynamics; nonlinear transmission process; quarantine; asymptomatic transmission

Journal
Infectious Disease Reports: Volume 13, Issue 4

StatusPublished
Publication date31/12/2021
Publication date online24/11/2021
Date accepted by journal16/11/2021
URLhttp://hdl.handle.net/1893/33731
PublisherMDPI AG
ISSN2036-7430
eISSN2036-7449

People (1)

People

Dr Jozsef Zoltan Farkas
Dr Jozsef Zoltan Farkas

Reader, Mathematics

Tags