Containment, Contact Tracing and Asymptomatic Transmission of Novel Coronavirus Disease (COVID-19): A Modelling Study
Título
Containment, Contact Tracing and Asymptomatic Transmission of Novel Coronavirus Disease (COVID-19): A Modelling Study
Autor
Yichi Yang, Takeshi Miyama, Andrei R. Akhmetzhanov, Ryo Kinoshita, Asami Anzai, Sung-mok Jung, Natalie M Linton, Tetsuro Kobayashi, Katsuma Hayashi, Ayako Suzuki, Hiroshi Nishiura
Descripción
When a novel infectious disease emerges, enhanced contact tracing and isolation are implemented to prevent a major epidemic, and indeed, they have been successful for the control of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which have been greatly reduced without causing a global pandemic. Considering that asymptomatic and pre-symptomatic infections are substantial for the novel coronavirus disease (COVID-19), the feasibility of preventing the major epidemic has been questioned. Using a two-type branching process model, the present study assesses the feasibility of containing COVID-19 by computing the probability of a major epidemic. We show that if there is a substantial number of asymptomatic transmissions, cutting chains of transmission by means of contact tracing and case isolation would be very challenging without additional interventions, and in particular, untraced cases contribute to lowering the feasibility of containment. Even if isolation of symptomatic cases is conducted swiftly after symptom onset, only secondary transmissions after the symptom onset can be prevented.
Fecha
2020
Materia
epidemiology, emerging infectious diseases, Containment, Asymptomatic
Identificador
10.3390/jcm9103125
Fuente
Epidemiology and Health
Editor
Korean Society of Epidemiology
Cobertura
Medicine
Colección
Citación
Yichi Yang, Takeshi Miyama, Andrei R. Akhmetzhanov, Ryo Kinoshita, Asami Anzai, Sung-mok Jung, Natalie M Linton, Tetsuro Kobayashi, Katsuma Hayashi, Ayako Suzuki, Hiroshi Nishiura, “Containment, Contact Tracing and Asymptomatic Transmission of Novel Coronavirus Disease (COVID-19): A Modelling Study,” SOCICT Open, consulta 19 de abril de 2026, https://socictopen.socict.org/items/show/9946.
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