IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v460y2009i7256d10.1038_460687a.html
   My bibliography  Save this article

Modelling to contain pandemics

Author

Listed:
  • Joshua M. Epstein

    (Joshua M. Epstein is director of the Center on Social and Economic Dynamics at the Brookings Institution, 1775 Massachusetts Avenue, Washington DC 20036, USA. jepstein@brookings.edu)

Abstract

Agent-based computational models can capture irrational behaviour, complex social networks and global scale — all essential in confronting H1N1, says Joshua M. Epstein.

Suggested Citation

  • Joshua M. Epstein, 2009. "Modelling to contain pandemics," Nature, Nature, vol. 460(7256), pages 687-687, August.
    • Handle: RePEc:nat:nature:v:460:y:2009:i:7256:d:10.1038_460687a
    DOI: 10.1038/460687a
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/460687a
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/460687a?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.

    Citations

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


    Cited by:

    1. G.J. Melman & A.K. Parlikad & E.A.B. Cameron, 2021. "Balancing scarce hospital resources during the COVID-19 pandemic using discrete-event simulation," Health Care Management Science, Springer, vol. 24(2), pages 356-374, June.
    2. Vivek Shastry & D Cale Reeves & Nicholas Willems & Varun Rai, 2022. "Policy and behavioral response to shock events: An agent-based model of the effectiveness and equity of policy design features," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-21, January.
    3. Ge, Yuanzheng & Song, Zhichao & Qiu, Xiaogang & Song, Hongbin & Wang, Yong, 2013. "Modular and hierarchical structure of social contact networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4619-4628.
    4. Weiwei Zhang & Shiyong Liu & Nathaniel Osgood & Hongli Zhu & Ying Qian & Peng Jia, 2023. "Using simulation modelling and systems science to help contain COVID‐19: A systematic review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 207-234, January.
    5. Singh, Anurag & Arquam, Md, 2022. "Epidemiological modeling for COVID-19 spread in India with the effect of testing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
    6. Fangfang Liu & Zheng Ma & Ziqing Wang & Shaobo Xie, 2022. "Trade-Off between COVID-19 Pandemic Prevention and Control and Economic Stimulus," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
    7. Sabah Bushaj & Xuecheng Yin & Arjeta Beqiri & Donald Andrews & İ. Esra Büyüktahtakın, 2023. "A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization," Annals of Operations Research, Springer, vol. 328(1), pages 245-277, September.
    8. Martin Jaraiz, 2020. "Ants, robots, humans: a self-organizing, complex systems modeling approach," Papers 2009.10823, arXiv.org, revised Oct 2020.
    9. Ghaderi, Mohammad, 2022. "Public health interventions in the face of pandemics: Network structure, social distancing, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 298(3), pages 1016-1031.
    10. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    11. Alessandro Basurto & Herbert Dawid & Philipp Harting & Jasper Hepp & Dirk Kohlweyer, 2023. "How to design virus containment policies? A joint analysis of economic and epidemic dynamics under the COVID-19 pandemic," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 311-370, April.
    12. Arnaud Mignan, 2022. "Categorizing and Harmonizing Natural, Technological, and Socio-Economic Perils Following the Catastrophe Modeling Paradigm," IJERPH, MDPI, vol. 19(19), pages 1-32, October.
    13. 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.
    14. Elaine O Nsoesie & Richard J Beckman & Madhav V Marathe, 2012. "Sensitivity Analysis of an Individual-Based Model for Simulation of Influenza Epidemics," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-16, October.
    15. Li, Zhenning & Xu, Chengzhong & Bian, Zilin, 2022. "A force-driven model for passenger evacuation in bus fires," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    16. Sándor Kovács & Mohammad Fazle Rabbi & Domicián Máté, 2021. "Global Food Security, Economic and Health Risk Assessment of the COVID-19 Epidemic," Mathematics, MDPI, vol. 9(19), pages 1-16, September.
    17. Flaminio Squazzoni & J. Gareth Polhill & Bruce Edmonds & Petra Ahrweiler & Patrycja Antosz & Geeske Scholz & Emile Chappin & Melania Borit & Harko Verhagen & Francesca Giardini & Nigel Gilbert, 2020. "Computational Models That Matter During a Global Pandemic Outbreak: A Call to Action," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(2), pages 1-10.
    18. Nadia N Abuelezam & Kathryn Rough & George R Seage III, 2013. "Individual-Based Simulation Models of HIV Transmission: Reporting Quality and Recommendations," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-1, September.
    19. Wouter Vermeer & Arthur Hjorth & Samuel M. Jenness & C Hendrick Brown & Uri Wilensky, 2020. "Leveraging Modularity During Replication of High-Fidelity Models: Lessons from Replicating an Agent-Based Model for HIV Prevention," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(4), pages 1-7.
    20. Juan Miguel Rodriguez-Lopez & Meike Schickhoff & Shubhankar Sengupta & Jürgen Scheffran, 2021. "Technological and social networks of a pastoralist artificial society: agent-based modeling of mobility patterns," Journal of Computational Social Science, Springer, vol. 4(2), pages 681-707, November.
    21. Telalagic, S., 2012. "Optimal Treatment of an SIS Disease with Two Strains," Cambridge Working Papers in Economics 1229, Faculty of Economics, University of Cambridge.
    22. Datta, Amitava & Winkelstein, Peter & Sen, Surajit, 2022. "An agent-based model of spread of a pandemic with validation using COVID-19 data from New York State," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).

    More about this item

    Statistics

    Access and download statistics

    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:nat:nature:v:460:y:2009:i:7256:d:10.1038_460687a. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.nature.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.