IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v156y2024icp126-137.html
   My bibliography  Save this article

Vaccination and transportation intervention strategies for effective pandemic control

Author

Listed:
  • Liu, Yang
  • Sugishita, Kashin
  • Hanaoka, Shinya

Abstract

The COVID-19 pandemic highlighted the pivotal role of transportation-related controls and vaccination in mitigating widespread infections. However, the substantial costs associated with these interventions necessitate a nuanced equilibrium between control measures and infection risks. This study, driven by the recognition of spatial heterogeneities in mobility networks and epidemic vulnerability, presents an optimal control framework for two control measures—vaccine distribution and transportation restrictions—within a metapopulation structure. The overarching goal is to minimize the total costs derived from the implementation of control measures and health and opportunity loss from infection. Our findings highlight the effectiveness of transportation control and vaccine distribution in reducing both total costs and infection rates. Notably, the efficacy of these control measures exhibits regional variations, and the simultaneous implementation of both measures emerges as the most effective and economically viable strategy. The synergy effect between vaccine distribution and transportation restrictions is also a key observation in our simulations, showcasing their complementary roles in pandemic control. By considering the spatial nuances of mobility networks and infection vulnerability, this framework provides a flexible and region-specific strategy to optimize the allocation of resources for pandemic control, ultimately striking a balance between efficacy and economic feasibility.

Suggested Citation

  • Liu, Yang & Sugishita, Kashin & Hanaoka, Shinya, 2024. "Vaccination and transportation intervention strategies for effective pandemic control," Transport Policy, Elsevier, vol. 156(C), pages 126-137.
    • Handle: RePEc:eee:trapol:v:156:y:2024:i:c:p:126-137
    DOI: 10.1016/j.tranpol.2024.07.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X24002233
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2024.07.021?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. Meng, Xin & Guo, Mingxue & Gao, Ziyou & Yang, Zhenzhen & Yuan, Zhilu & Kang, Liujiang, 2022. "The effects of Wuhan highway lockdown measures on the spread of COVID-19 in China," Transport Policy, Elsevier, vol. 117(C), pages 169-180.
    2. Neil M. Ferguson & Derek A. T. Cummings & Christophe Fraser & James C. Cajka & Philip C. Cooley & Donald S. Burke, 2006. "Strategies for mitigating an influenza pandemic," Nature, Nature, vol. 442(7101), pages 448-452, July.
    3. Xinyu Liu & Yuting Ding, 2022. "Stability and Numerical Simulations of a New SVIR Model with Two Delays on COVID-19 Booster Vaccination," Mathematics, MDPI, vol. 10(10), pages 1-27, May.
    4. Dantsuji, Takao & Sugishita, Kashin & Fukuda, Daisuke, 2023. "Understanding changes in travel patterns during the COVID-19 outbreak in the three major metropolitan areas of Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    5. Zhen Zhu & Enzo Weber & Till Strohsal & Duaa Serhan, 2020. "Sustainable Border Control Policy in the COVID-19 Pandemic: A Math Modeling Study," Papers 2008.13561, arXiv.org, revised Feb 2021.
    6. Liu, Shasha & Yamamoto, Toshiyuki, 2022. "Role of stay-at-home requests and travel restrictions in preventing the spread of COVID-19 in Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 1-16.
    7. Dube, Kaitano & Nhamo, Godwell & Chikodzi, David, 2021. "COVID-19 pandemic and prospects for recovery of the global aviation industry," Journal of Air Transport Management, Elsevier, vol. 92(C).
    8. Mars, Lidón & Arroyo, Rosa & Ruiz, Tomás, 2022. "Mobility and wellbeing during the covid-19 lockdown. Evidence from Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 107-129.
    9. Nguyen, Tri K. & Hoang, Nam H. & Currie, Graham & Vu, Hai L., 2022. "Enhancing Covid-19 virus spread modeling using an activity travel model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 186-199.
    10. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2021. "Delayed reaction towards emerging COVID-19 variants of concern: Does history repeat itself?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 203-215.
    11. 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.
    12. Daisuke ADACHI & Taiyo FUKAI & Daiji KAWAGUCHI & Yukiko SAITO, 2020. "Commuting Zones in Japan," Discussion papers 20021, Research Institute of Economy, Trade and Industry (RIETI).
    13. Zhang, Junyi & Zhang, Runsen & Ding, Hongxiang & Li, Shuangjin & Liu, Rui & Ma, Shuang & Zhai, Baoxin & Kashima, Saori & Hayashi, Yoshitsugu, 2021. "Effects of transport-related COVID-19 policy measures: A case study of six developed countries," Transport Policy, Elsevier, vol. 110(C), pages 37-57.
    Full references (including those not matched with items on IDEAS)

    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. Meng, Xin & Guo, Mingxue & Gao, Ziyou & Kang, Liujiang, 2023. "Interaction between travel restriction policies and the spread of COVID-19," Transport Policy, Elsevier, vol. 136(C), pages 209-227.
    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).
    3. Zou, Hao & Sheng, Dian & Jiang, Jiehui, 2024. "Impact of trans-regional travel-related testing on epidemic spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    4. Wu, Tsung-Pao & Zheng, Yi & Wu, Hung-Che & Deng, Ruixin, 2024. "The causal relationship between the COVID-19, Delta and Omicron pandemic and the air transport industry: Evidence from China," Journal of Air Transport Management, Elsevier, vol. 116(C).
    5. Anne Graham & David Warnock-Smith & John F. O’Connell & Marina Efthymiou & Xingwu Zheng, 2023. "Market Developments on Chinese International Air Passenger Markets in Light of COVID-19 Policy Measures," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    6. Wandelt, Sebastian & Sun, Xiaoqian & Zhang, Anming, 2023. "On the contagion leakage via incoming flights during China’s aviation policies in the fight against COVID-19," Journal of Air Transport Management, Elsevier, vol. 108(C).
    7. Kotcharin, Suntichai & Maneenop, Sakkakom & Jaroenjitrkam, Anutchanat, 2023. "The impact of government policy responses on airline stock return during the COVID-19 crisis," Research in Transportation Economics, Elsevier, vol. 99(C).
    8. Tolcha, Tassew Dufera, 2023. "The state of Africa's air transport market amid COVID-19, and forecasts for recovery," Journal of Air Transport Management, Elsevier, vol. 108(C).
    9. Jeremy Hadidjojo & Siew Ann Cheong, 2011. "Equal Graph Partitioning on Estimated Infection Network as an Effective Epidemic Mitigation Measure," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-10, July.
    10. Garaus, Marion & Hudáková, Melánia, 2022. "The impact of the COVID-19 pandemic on tourists’ air travel intentions: The role of perceived health risk and trust in the airline," Journal of Air Transport Management, Elsevier, vol. 103(C).
    11. Pranjal Kumar & Pratima Ekka, 2024. "Statistical analysis of the impacts of COVID-19 pandemic on the small and large-scale tourism sectors in developing countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(4), pages 9625-9659, April.
    12. Chandra, Aitichya & Verma, Ashish & Sooraj, K.P. & Padhi, Radhakant, 2023. "Modelling and assessment of the arrival and departure process at the terminal area: A case study of Chennai international airport," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    13. Yang-chih Fu & Da-Wei Wang & Jen-Hsiang Chuang, 2012. "Representative Contact Diaries for Modeling the Spread of Infectious Diseases in Taiwan," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-7, October.
    14. Catalina Amuedo-Dorantes & Neeraj Kaushal & Ashley N. Muchow, 2021. "Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1445-1472, October.
    15. Da Van Huynh & Thuy Thi Kim Truong & Long Hai Duong & Nhan Trong Nguyen & Giang Vu Huong Dao & Canh Ngoc Dao, 2021. "The COVID-19 Pandemic and Its Impacts on Tourism Business in a Developing City: Insight from Vietnam," Economies, MDPI, vol. 9(4), pages 1-17, November.
    16. Felipe Carozzi & Sandro Provenzano & Sefi Roth, 2024. "Urban density and COVID-19: understanding the US experience," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(1), pages 163-194, January.
    17. Moshe B Hoshen & Anthony H Burton & Themis J V Bowcock, 2007. "Simulating disease transmission dynamics at a multi-scale level," International Journal of Microsimulation, International Microsimulation Association, vol. 1(1), pages 26-34.
    18. Susan M. Rogers & James Rineer & Matthew D. Scruggs & William D. Wheaton & Phillip C. Cooley & Douglas J. Roberts & Diane K. Wagener, 2014. "A Geospatial Dynamic Microsimulation Model for Household Population Projections," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 119-146.
    19. Antonio Diez de los Rios, 2022. "A macroeconomic model of an epidemic with silent transmission and endogenous self‐isolation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 581-625, February.
    20. Elisa Giannone & Nuno Paixao & Xinle Pang, 2021. "The Geography of Pandemic Containment," Staff Working Papers 21-26, Bank of Canada.

    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:trapol:v:156:y:2024:i:c:p:126-137. 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/30473/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.