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

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  • Liu, Jielun
  • Ong, Ghim Ping
  • Pang, Vincent Junxiong

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.

Suggested Citation

  • Liu, Jielun & Ong, Ghim Ping & Pang, Vincent Junxiong, 2022. "Modelling effectiveness of COVID-19 pandemic control policies using an Area-based SEIR model with consideration of infection during interzonal travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 25-47.
    • Handle: RePEc:eee:transa:v:161:y:2022:i:c:p:25-47
    DOI: 10.1016/j.tra.2022.05.003
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    1. Mrinank Sharma & Sören Mindermann & Charlie Rogers-Smith & Gavin Leech & Benedict Snodin & Janvi Ahuja & Jonas B. Sandbrink & Joshua Teperowski Monrad & George Altman & Gurpreet Dhaliwal & Lukas Finnv, 2021. "Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    2. Douglas Almond & Xinming Du & Shuang Zhang, 2020. "Ambiguous Pollution Response to COVID-19 in China," NBER Working Papers 27086, National Bureau of Economic Research, Inc.
    3. Frijters, Paul & Clark, Andrew E. & Krekel, Christian & Layard, Richard, 2020. "A happy choice: a response to the responses," Behavioural Public Policy, Cambridge University Press, vol. 4(2), pages 263-271, July.
    4. Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions," Transport Policy, Elsevier, vol. 99(C), pages 95-119.
    5. Ahmed Elmokashfi & Joakim Sundnes & Amund Kvalbein & Valeriya Naumova & Sven-Arne Reinemo & Per Magne Florvaag & Håkon Kvale Stensland & Olav Lysne, 2021. "Nationwide rollout reveals efficacy of epidemic control through digital contact tracing," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    6. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    7. Michael P Devereux & İrem Güçeri & Martin Simmler & Eddy H F Tam, 2020. "Discretionary fiscal responses to the COVID-19 pandemic," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 225-241.
    8. Clemens Fuest & Jean Pisani-Ferry, 2020. "Financing the EU: New Context, New Responses," EconPol Policy Reports 24, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    9. Karel Janda & Oleg Kravtsov, 2020. "Regulatory stress tests and bank responses," CAMA Working Papers 2020-77, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Chang, Zheng & Phang, Sock-Yong, 2017. "Urban rail transit PPPs: Lessons from East Asian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 106-122.
    11. ., 2020. "The control regime, the state and responsibility," Chapters, in: How Standards Rule the World, chapter 8, pages 112-122, Edward Elgar Publishing.
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