Abstract This paper studies the effectiveness of several pandemic restriction measures adopted in Singapore during the COVID-19 outbreak. To this end, the classical Susceptible-Exposed-Infectious-Recovered (SEIR) model widely used to describe the dynamic process of epidemic propagation is extended to an area-based SEIR model with the consideration of exposure to infections during commute and quarantine. The proposed model considers infections within areas and infections occurred during the commute of individuals. A case study of the Singapore MRT system is presented to show the effectiveness of pandemic restriction policies implemented in Singapore, namely social distancing, work shift and Circuit Breaker (CB) and phase advisories. A long-term investigation of COVID-19 pandemic in Singapore is performed, and the disease transmission dynamics in 2020–2021 (which covers the first wave and second wave of COVID-19 pandemic in Singapore) is modelled.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Modelling effectiveness of COVID-19 pandemic control policies using an Area-based SEIR model with consideration of infection during interzonal travel


    Contributors:


    Publication date :

    2022-01-01


    Size :

    23 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Different Travel Patterns: Interzonal, Intrazonal, and External Trips

    Ahmed Hamdy Ghareib | British Library Online Contents | 1996


    Intrazonal or interzonal? Improving intrazonal travel forecast in a four-step travel demand model

    Park, Keunhyun / Sabouri, Sadegh / Lyons, Torrey et al. | Online Contents | 2019


    Intrazonal or interzonal? Improving intrazonal travel forecast in a four-step travel demand model

    Park, Keunhyun / Sabouri, Sadegh / Lyons, Torrey et al. | Online Contents | 2019


    Study of travel behavior during the covid-19 pandemic

    Zhou, Mengyu / Technische Universität Dresden | SLUB | 2023