  According to the current perception, symptomatic, presymptomatic, and
asymptomatic infectious persons can infect the healthy population susceptible
to the SARS-Cov-2. More importantly, various reports indicate that the number
of asymptomatic cases can be several-fold higher than the reported symptomatic
cases. In this article, we take the reported cases in India and various states
within the country till September 1, as the specimen to understand the
progression of the COVID-19. Employing a modified SEIRD model, we predict the
spread of COVID-19 by the symptomatic as well as asymptomatic infectious
population. Considering reported infection primarily due to symptomatic we
compare the model predicted results with the available data to estimate the
dynamics of the asymptomatically infected population. Our data indicate that in
the absence of the asymptomatic infectious population, the number of
symptomatic cases would have been much less. Therefore, the current progress of
the symptomatic infection can be reduced by quarantining the asymptomatically
infectious population via extensive or random testing. This study is motivated
strictly towards academic pursuit; this theoretical investigation is not meant
for influencing policy decisions or public health practices.
