A simulation of undiagnosed population and excess mortality during the COVID-19 pandemic

• Published in: Results in control and optimization Vol. 12; p. 100262
• Main Authors: Dasgupta, Raktim, Majumder, Shovan Kumar
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2023; The Authors. Published by Elsevier B.V; Elsevier
• Subjects: Asymptomatic population; COVID-19; Excess mortality; SEIR model; COVID-19; SEIR model; Asymptomatic population; Excess mortality
• ISSN: 2666-7207; 2666-7207
• DOI: 10.1016/j.rico.2023.100262

Whereas the extent of outbreak of COVID-19 is usually accessed via the number of reported cases and the number of patients succumbed to the disease, the officially recorded overall excess mortality numbers during the pandemic waves, which are significant and often followed the rise and fall of the pandemic waves, put a question mark on the above methodology. Gradually it has been recognized that estimating the size of the undiagnosed population (which includes asymptomatic cases and symptomatic cases but not reported) is also crucial. Here we used the classical mathematical SEIR model having an additional compartment, that is the undiagnosed group in addition to the susceptible, exposed, diagnosed, recovered and deceased groups, to link the undiagnosed COVID-19 cases to the reported excess mortality numbers and thereby try to know the actual size of the disease outbreak. The developed model wase successfully applied to relevant COVID-19 waves in USA (initial months of 2020), South Africa (mid of 2021) and Russia (2020–21) when a large discrepancy between the reported COVID-19 mortality and the overall excess mortality had been noticed.