IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v58y2021i1d10.1007_s10614-019-09918-7.html
   My bibliography  Save this article

Spatially Heterogeneous Vaccine Coverage and Externalities in a Computational Model of Epidemics

Author

Listed:
  • Myong-Hun Chang

    (Cleveland State University)

  • Troy Tassier

    (Fordham University)

Abstract

We develop an agent-based computational model of epidemics with varying amounts of heterogeneity in regional vaccination coverage. We examine the severity of the resulting epidemics and the externalities created between high and low vaccination regions. The resulting size of the epidemics depends upon the heterogeneity of coverage, the interaction structure in the population, and how close the population is to herd immunity. Holding overall vaccination levels constant, the mean epidemic size increases and a larger level of vaccinations is needed to reach herd immunity when there is greater variability in the regional vaccination rates as long as the vaccination level is sufficiently high. This relationship amplifies when the contacts of individuals in the model have a greater share of inter-regional linkages. However, when inter-regional linkages and vaccination levels are sufficiently low, the mean epidemic size can decrease when there is greater variability in the regional vaccination rates. Further, we find that the magnitude of externalities between regions with different levels of vaccine coverage depends crucially on how close the population is to herd immunity. If population level vaccination coverage is sufficiently high (low) shifting connections from low coverage regions to high coverage regions will decrease (increase) mean epidemic size.

Suggested Citation

  • Myong-Hun Chang & Troy Tassier, 2021. "Spatially Heterogeneous Vaccine Coverage and Externalities in a Computational Model of Epidemics," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 27-55, June.
    • Handle: RePEc:kap:compec:v:58:y:2021:i:1:d:10.1007_s10614-019-09918-7
    DOI: 10.1007/s10614-019-09918-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-019-09918-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10614-019-09918-7?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. Galeotti, Andrea & Rogers, Brian W., 2015. "Diffusion and protection across a random graph," Network Science, Cambridge University Press, vol. 3(3), pages 361-376, September.
    2. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    3. Buttenheim, A. & Jones, M. & Baras, Y., 2012. "Exposure of California kindergartners to students with personal belief exemptions from mandated school entry vaccinations," American Journal of Public Health, American Public Health Association, vol. 102(8), pages 59-67.
    4. Andrea Galeotti & Brian W. Rogers, 2013. "Strategic Immunization and Group Structure," American Economic Journal: Microeconomics, American Economic Association, vol. 5(2), pages 1-32, May.
    5. Philipson, Tomas, 2000. "Economic epidemiology and infectious diseases," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 33, pages 1761-1799, Elsevier.
    6. John H. Miller & Scott E. Page, 2007. "Complexity in Social Worlds, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    7. Phillip Stroud & Sara Del Valle & Stephen Sydoriak & Jane Riese & Susan Mniszewski, 2007. "Spatial Dynamics of Pandemic Influenza in a Massive Artificial Society," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(4), pages 1-9.
    8. Troy Tassier & Philip Polgreen & Alberto Segre, 2017. "Network position and health care worker infections," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 277-307, July.
    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. Andrew Souther & Myong-Hun Chang & Troy Tassier, 2023. "It’s worth a shot: urban density, endogenous vaccination decisions, and dynamics of infectious disease," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(1), pages 163-189, January.

    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. An, Li, 2012. "Modeling human decisions in coupled human and natural systems: Review of agent-based models," Ecological Modelling, Elsevier, vol. 229(C), pages 25-36.
    2. Citera, Emanuele & Sau, Lino, 2019. "Complexity, Conventions and Instability: the role of monetary policy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201924, University of Turin.
    3. Theodosio, Bruno Miller & Weber, Jan, 2023. "Back to the classics: R-evolution towards statistical equilibria," ifso working paper series 28, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    4. Jeffery S. McMullen & Dimo Dimov, 2013. "Time and the Entrepreneurial Journey: The Problems and Promise of Studying Entrepreneurship as a Process," Journal of Management Studies, Wiley Blackwell, vol. 50(8), pages 1481-1512, December.
    5. Gräbner, Claudius, 2016. "From realism to instrumentalism - and back? Methodological implications of changes in the epistemology of economics," MPRA Paper 71933, University Library of Munich, Germany.
    6. Niceto S. Poblador, 2011. "The Strategy Dilemma : Why Big Business Moves Seldom Pan Out as Planned," UP School of Economics Discussion Papers 201105, University of the Philippines School of Economics.
    7. repec:lib:000cis:v:5:y:2017:i:1:p:26-34 is not listed on IDEAS
    8. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    9. Fuat Oğuz, 2020. "Hayekian complexity and the role of regulation in electricity markets," Economic Affairs, Wiley Blackwell, vol. 40(3), pages 406-418, October.
    10. Mykola Odrekhivskyi & Orysya Pshyk-Kovalska & Volodymyr Zhezhukha & Iryna Ivanochko, 2022. "Intelligent Management of Enterprise Business Processes," Mathematics, MDPI, vol. 11(1), pages 1-15, December.
    11. Salter, Alexander William & Tarko, Vlad, 2017. "Polycentric banking and macroeconomic stability," Business and Politics, Cambridge University Press, vol. 19(2), pages 365-395, June.
    12. Tabasso, Nicole, 2019. "Diffusion of multiple information: On information resilience and the power of segregation," Games and Economic Behavior, Elsevier, vol. 118(C), pages 219-240.
    13. Chandra, Yanto & Wilkinson, Ian F., 2017. "Firm internationalization from a network-centric complex-systems perspective," Journal of World Business, Elsevier, vol. 52(5), pages 691-701.
    14. Paul Dragos Aligica & Vlad Tarko, 2014. "Institutional Resilience and Economic Systems: Lessons from Elinor Ostrom’s Work," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 56(1), pages 52-76, March.
    15. Muscillo, Alessio & Pin, Paolo & Razzolini, Tiziano, 2021. "Spreading of an infectious disease between different locations," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 508-532.
    16. Charalambos Tsekeris, 2015. "Contextualising the self in contemporary social science," Contemporary Social Science, Taylor & Francis Journals, vol. 10(1), pages 1-14, March.
    17. Paula Dawidowicz, 2012. "The Person on the Street's Understanding of Systems Thinking," Systems Research and Behavioral Science, Wiley Blackwell, vol. 29(1), pages 2-13, January.
    18. A. J. Burns & Clay Posey & James F. Courtney & Tom L. Roberts & Prabhashi Nanayakkara, 0. "Organizational information security as a complex adaptive system: insights from three agent-based models," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    19. Skarda, Ieva & Asaria, Miqdad & Cookson, Richard, 2022. "Evaluating childhood policy impacts on lifetime health, wellbeing and inequality: Lifecourse distributional economic evaluation," Social Science & Medicine, Elsevier, vol. 302(C).
    20. Ștefan Ionescu & Ionuț Nica & Nora Chiriță, 2021. "Cybernetics Approach Using Agent-Based Modeling in the Process of Evacuating Educational Institutions in Case of Disasters," Sustainability, MDPI, vol. 13(18), pages 1-29, September.
    21. S. Gualdi & M. Medo & Y.-C. Zhang, 2011. "Self-organized model of cascade spreading," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 79(1), pages 91-98, 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:kap:compec:v:58:y:2021:i:1:d:10.1007_s10614-019-09918-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.