How big of an impact do asymptomatic people have on the dynamics of an epidemic?
Authors
Arun Kumar Sikder
(Computer Science and Engineering)
Abstract
Asymptomatic carriers serve as a potential source of transmission of epidemic diseases. Exposed peo-
ple who develop symptoms only get tested and remain isolated in their homes or sometimes in hospi-
tals when needed. In contrast, the asymptomatic individuals go untested and spread the disease silently
as they roam freely throughout their entire infectious lifetime. The work intends to explore the role of
asymptomatic carriers in the transmission of epidemic diseases and investigate suitable optimal control
strategies. We propose a SEIAQR compartmental model subdividing the total population into six different
compartments. To illustrate the model’s implication, we estimate the number of asymptomatic individ-
uals using COVID-19 data during June 9–July 18, 2021 from Bangladesh. We then analyze the model to
explore whether the epidemic subsides if the asymptomatic individuals are tested randomly and isolated.
Finally, to gain a better understanding of the potential of this unidentified transmission route, we pro-
pose an optimal control model considering two different control strategies: personal protective measures
and isolation of asymptomatic carriers through random testing. Our results show that simultaneous im-
plementation of both control strategies can reduce the epidemic early. Most importantly, sustained effort
in identifying and isolation of asymptotic individuals allows relaxation in personal protective measures.