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    SIRV Q train models for the first outbreak of the Omicron variant in Korea

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    https://www.riss.kr/link?id=A108924307

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

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    한국어
    We will suggest a train model to explain the weekly periodic character of Covid19 in South Korea on the first half of 2022, the period of the Omicron variant outbreak.
    In the model, the daily new infected individuals board a train, divided into 4 compartments.
    The train moves at night by the length of one compartment. Then the infected are quarantined during the daytime after their compartment reaches the quarantine area.
    Then it remains empty on the 5-th night after boarding.
    The parameters of the model are fitted with the daily measured quarantine populations and generate the simulated quarantine populations that hit the real weekly and global peaks.
    번역하기

    We will suggest a train model to explain the weekly periodic character of Covid19 in South Korea on the first half of 2022, the period of the Omicron variant outbreak. In the model, the daily new infected individuals board a train, divided into 4 comp...

    We will suggest a train model to explain the weekly periodic character of Covid19 in South Korea on the first half of 2022, the period of the Omicron variant outbreak.
    In the model, the daily new infected individuals board a train, divided into 4 compartments.
    The train moves at night by the length of one compartment. Then the infected are quarantined during the daytime after their compartment reaches the quarantine area.
    Then it remains empty on the 5-th night after boarding.
    The parameters of the model are fitted with the daily measured quarantine populations and generate the simulated quarantine populations that hit the real weekly and global peaks.

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    참고문헌 (Reference)

    1 2005 World Health Organization, "Statement on the second meeting of the international health regulations (2005) emergency committee regarding the outbreak of novel coronavirus (2019-ncov)"

    2 "Seoul open data portal"

    3 "Expressway open data protal"

    4 Ensheng DONG, "An interactive web-based dashboard to track covid-19 in real time" 20 (20): 533-534, 2020

    5 Young Rock KIM, "A multi-strain mathematical modeling of COVID-19 with optimal control in Ghana: Assessing the impact of governmental and private interventions such as social distancing, vaccination, testing and treatment, submitted"

    6 Young Rock KIM, "A model of COVID-19 pandemic with vaccines and mutant viruses" 17 (17): e0275851-, 2022

    1 2005 World Health Organization, "Statement on the second meeting of the international health regulations (2005) emergency committee regarding the outbreak of novel coronavirus (2019-ncov)"

    2 "Seoul open data portal"

    3 "Expressway open data protal"

    4 Ensheng DONG, "An interactive web-based dashboard to track covid-19 in real time" 20 (20): 533-534, 2020

    5 Young Rock KIM, "A multi-strain mathematical modeling of COVID-19 with optimal control in Ghana: Assessing the impact of governmental and private interventions such as social distancing, vaccination, testing and treatment, submitted"

    6 Young Rock KIM, "A model of COVID-19 pandemic with vaccines and mutant viruses" 17 (17): e0275851-, 2022

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