Open AccessIntervention effects in the transmission of COVID-19 depending on the detection rate and extent of isolation
Author(s) -
Oh-Yun Kwon,
Woo-Sik Son,
Jin Yong Kim,
Jong-Hun Kim
Publication year - 2020
Publication title -
epidemiology and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.109
H-Index - 19
ISSN - 2092-7193
DOI - 10.4178/epih.e2020045
Subject(s) - medicine , isolation (microbiology) , infectious disease (medical specialty) , disease , transmission (telecommunications) , population , epidemic model , infection rate , covid-19 , attack rate , coronavirus , intervention (counseling) , virology , immunology , computer science , bioinformatics , environmental health , biology , telecommunications , surgery , psychiatry
Objectives In 2020, the coronavirus disease 2019 (COVID-19) respiratory infection is spreading in Korea. In order to prevent the spread of an infectious disease, infected people must be quickly identified and isolated, and contact with the infected must be blocked early. This study attempted to verify the intervention effects on the spread of an infectious disease by using these measures in a mathematical model.Methods We used the susceptible-infectious-recovery (SIR) model for a virtual population group connected by a special structured network. In the model, the infected state ( I ) was divided into I in which the infection is undetected and I x in which the infection is detected. The probability of transitioning from an I state to I x can be viewed as the rate at which an infected person is found. We assumed that only those connected to each other in the network can cause infection. In addition, this study attempted to evaluate the effects of isolation by temporarily removing the connection among these people.Results In Scenario 1, only the infected are isolated; in Scenario 2, those who are connected to an infected person and are also found to be infected are isolated as well. In Scenario 3, everyone connected to an infected person are isolated. In Scenario 3, it was possible to effectively suppress the infectious disease even with a relatively slow rate of diagnosis and relatively high infection rate.Conclusions During the epidemic, quick identification of the infected is helpful. In addition, it was possible to quantitatively show through a simulation evaluation that the management of infected individuals as well as those who are connected greatly helped to suppress the spread of infectious diseases.