  The Covid-19 pandemic is ongoing worldwide, and the damage it has caused is
unprecedented. For prevention, South Korea has adopted a local quarantine
strategy rather than a global lockdown. This approach not only minimizes
economic damage, but it also efficiently prevents the spread of the disease. In
this work, the spread of COVID-19 under local quarantine measures is modeled
using the Susceptible-Exposed-Infected-Recovered model on complex networks. In
this network approach, the links connected to isolated people are disconnected
and then reinstated when they are released. This link dynamics leads to
time-dependent reproduction number. Numerical simulations are performed on
networks with reaction rates estimated from empirical data. The temporal
pattern of the cumulative number of confirmed cases is then reproduced. The
results show that a large number of asymptomatic infected patients are detected
as they are quarantined together with infected patients. Additionally, possible
consequences of the breakdowns of local quarantine measures and social
distancing are considered.
