IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v161y2022icp25-47.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856422001197
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2022.05.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lu, Zhong-Wen & Xu, Yuan-Hao & Chen, Jie & Hu, Mao-Bin, 2023. "Investigation of traffic-driven epidemic spreading by taxi trip data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    2. Chen, Yuting & Fuellhart, Kurt & Grubesic, Tony H. & Zhang, Shengrun & Witlox, Frank, 2024. "An analysis of the context factors influencing the diverse response of airports to COVID-19 using panel and group regression," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carrai, Maria Adele, 2021. "Adaptive governance along Chinese-financed BRI railroad megaprojects in East Africa," World Development, Elsevier, vol. 141(C).
    2. Jeong-Hui Park & Eunhye Yoo & Youngdeok Kim & Jung-Min Lee, 2021. "What Happened Pre- and during COVID-19 in South Korea? Comparing Physical Activity, Sleep Time, and Body Weight Status," IJERPH, MDPI, vol. 18(11), pages 1-13, May.
    3. Matteo Böhm & Mirco Nanni & Luca Pappalardo, 2022. "Gross polluters and vehicle emissions reduction," Nature Sustainability, Nature, vol. 5(8), pages 699-707, August.
    4. David Kofoed Wind & Piotr Sapiezynski & Magdalena Anna Furman & Sune Lehmann, 2016. "Inferring Stop-Locations from WiFi," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-15, February.
    5. Molloy, Joseph & Schatzmann, Thomas & Schoeman, Beaumont & Tchervenkov, Christopher & Hintermann, Beat & Axhausen, Kay W., 2021. "Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel," Transport Policy, Elsevier, vol. 104(C), pages 43-51.
    6. Zhou, Xingang & Yeh, Anthony G.O. & Yue, Yang, 2018. "Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data," Journal of Transport Geography, Elsevier, vol. 68(C), pages 102-108.
    7. Zheng Yan & Wenqian Robertson & Yaosheng Lou & Tom W. Robertson & Sung Yong Park, 2021. "Finding leading scholars in mobile phone behavior: a mixed-method analysis of an emerging interdisciplinary field," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9499-9517, December.
    8. Duan, Zhengyu & Zhao, Haoran & Li, Zhenming, 2023. "Non-linear effects of built environment and socio-demographics on activity space," Journal of Transport Geography, Elsevier, vol. 111(C).
    9. Li, Haojie & Zhang, Yingheng & Zhu, Manman & Ren, Gang, 2021. "Impacts of COVID-19 on the usage of public bicycle share in London," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 140-155.
    10. Elisa Frutos-Bernal & Ángel Martín del Rey & Irene Mariñas-Collado & María Teresa Santos-Martín, 2022. "An Analysis of Travel Patterns in Barcelona Metro Using Tucker3 Decomposition," Mathematics, MDPI, vol. 10(7), pages 1-17, March.
    11. Zhai, Wei & Bai, Xueyin & Peng, Zhong-ren & Gu, Chaolin, 2019. "From edit distance to augmented space-time-weighted edit distance: Detecting and clustering patterns of human activities in Puget Sound region," Journal of Transport Geography, Elsevier, vol. 78(C), pages 41-55.
    12. Khajehnejad, Moein, 2019. "Efficiency of long-range navigation on Treelike fractals," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 102-110.
    13. Shuai Yu & Bin Li & Dongmei Liu, 2023. "Exploring the Public Health of Travel Behaviors in High-Speed Railway Environment during the COVID-19 Pandemic from the Perspective of Trip Chain: A Case Study of Beijing–Tianjin–Hebei Urban Agglomera," IJERPH, MDPI, vol. 20(2), pages 1-22, January.
    14. Chaogui Kang & Yu Liu & Diansheng Guo & Kun Qin, 2015. "A Generalized Radiation Model for Human Mobility: Spatial Scale, Searching Direction and Trip Constraint," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-11, November.
    15. ORIHARA Masanori & SUZUKI Takafumi, 2021. "Windfalls? Costs and Benefits of Investment Tax Incentives due to Financial Constraints," Discussion papers 21087, Research Institute of Economy, Trade and Industry (RIETI).
    16. Anna Kristina Witte & Janina Grosch & Beate Conrady & Lena Schomakers & Marcus Grohmann, 2022. "Free PoC Testing for SARS-CoV-2 in Germany: Factors Expanding Access to Various Communities in a Medium-Sized City," IJERPH, MDPI, vol. 19(8), pages 1-16, April.
    17. van Wee, Bert & Witlox, Frank, 2021. "COVID-19 and its long-term effects on activity participation and travel behaviour: A multiperspective view," Journal of Transport Geography, Elsevier, vol. 95(C).
    18. Yifeng Liu & Yuan Lai, 2024. "Analyzing jogging activity patterns and adaptation to public health regulation," Environment and Planning B, , vol. 51(3), pages 670-688, March.
    19. Li, Ze-Tao & Nie, Wei-Peng & Cai, Shi-Min & Zhao, Zhi-Dan & Zhou, Tao, 2023. "Exploring the topological characteristics of urban trip networks based on taxi trajectory data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    20. Claudio Gariazzo & Armando Pelliccioni & Maria Paola Bogliolo, 2019. "Spatiotemporal Analysis of Urban Mobility Using Aggregate Mobile Phone Derived Presence and Demographic Data: A Case Study in the City of Rome, Italy," Data, MDPI, vol. 4(1), pages 1-25, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:161:y:2022:i:c:p:25-47. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.