Your browser doesn't support javascript.
Intervention effects in the transmission of COVID-19 depending on the detection rate and extent of isolation.
Kwon, Okyu; Son, Woo-Sik; Kim, Jin Yong; Kim, Jong-Hun.
  • Kwon O; National Institutes for Mathematical Sciences, Daejeon, Korea.
  • Son WS; National Institutes for Mathematical Sciences, Daejeon, Korea.
  • Kim JY; Division of Infectious Diseases, Department of Internal Medicine, Incheon Medical Center, Incheon, Korea.
  • Kim JH; Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, Korea.
Epidemiol Health ; 42: e2020045, 2020.
Article in English | MEDLINE | ID: covidwho-2267694
ABSTRACT

OBJECTIVE:

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 Ix in which the infection is detected. The probability of transitioning from an I state to Ix 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.

CONCLUSION:

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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Patient Isolation / Pneumonia, Viral / Coronavirus Infections / Clinical Laboratory Techniques / Epidemics / Pandemics Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Epidemiol Health Year: 2020 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Patient Isolation / Pneumonia, Viral / Coronavirus Infections / Clinical Laboratory Techniques / Epidemics / Pandemics Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Epidemiol Health Year: 2020 Document Type: Article