IDEAS home Printed from https://ideas.repec.org/a/abf/journl/v53y2023i3p44762-44765.html

New Agent-Based Model for Influenza Epidemic Dynamics in Cities

Author

Listed:
  • Perminov VD

    (Moscow, Russian Federation)

Abstract

The currently standard agent-based model involves setting probabilities of infection during contacts of residents. This means the unknown of the epidemic, the dynamics of which we are going to model. New agent-based model capable to predict a real dynamic of the influenza epidemic in city under consideration and efficiency of possible non-pharmaceutical interventions was proposed.

Suggested Citation

  • Perminov VD, 2023. "New Agent-Based Model for Influenza Epidemic Dynamics in Cities," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 53(3), pages 44762-44765, October.
  • Handle: RePEc:abf:journl:v:53:y:2023:i:3:p:44762-44765
    DOI: 10.26717/BJSTR.2023.53.008405
    as

    Download full text from publisher

    File URL: https://biomedres.us/pdfs/BJSTR.MS.ID.008405.pdf
    Download Restriction: no

    File URL: https://biomedres.us/fulltexts/BJSTR.MS.ID.008405.php
    Download Restriction: no

    File URL: https://libkey.io/10.26717/BJSTR.2023.53.008405?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
    ---><---

    References listed on IDEAS

    as
    1. Stephen Eubank & Hasan Guclu & V. S. Anil Kumar & Madhav V. Marathe & Aravind Srinivasan & Zoltán Toroczkai & Nan Wang, 2004. "Modelling disease outbreaks in realistic urban social networks," Nature, Nature, vol. 429(6988), pages 180-184, May.
    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. repec:plo:pcbi00:1001021 is not listed on IDEAS
    2. Floriana Gargiulo & Sônia Ternes & Sylvie Huet & Guillaume Deffuant, 2010. "An Iterative Approach for Generating Statistically Realistic Populations of Households," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-9, January.
    3. Santi Phithakkitnukoon & Zbigniew Smoreda & Patrick Olivier, 2012. "Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-9, June.
    4. Saturnino Luz & Masood Masoodian, 2022. "Exploring Environmental and Geographical Factors Influencing the Spread of Infectious Diseases with Interactive Maps," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    5. Mark S. Handcock & Adrian E. Raftery & Jeremy M. Tantrum, 2007. "Model‐based clustering for social networks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 301-354, March.
    6. 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).
    7. Hou, Yunxiang & Lu, Yikang & Dong, Yuting & Jin, Libin & Shi, Lei, 2023. "Impact of different social attitudes on epidemic spreading in activity-driven networks," Applied Mathematics and Computation, Elsevier, vol. 446(C).
    8. Michał Wielechowski & Katarzyna Czech & Łukasz Grzęda, 2020. "Decline in Mobility: Public Transport in Poland in the time of the COVID-19 Pandemic," Economies, MDPI, vol. 8(4), pages 1-24, September.
    9. Lazebnik, Teddy & Spiegel, Orr, 2025. "Individual variation affects outbreak magnitude and predictability in multi-pathogen model of pigeons visiting dairy farms," Ecological Modelling, Elsevier, vol. 499(C).
    10. Sangwon Chae & Sungjun Kwon & Donghyun Lee, 2018. "Predicting Infectious Disease Using Deep Learning and Big Data," IJERPH, MDPI, vol. 15(8), pages 1-20, July.
    11. Stipic, Dorian & Bradac, Mislav & Lipic, Tomislav & Podobnik, Boris, 2021. "Effects of quarantine disobedience and mobility restrictions on COVID-19 pandemic waves in dynamical networks," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    12. 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).
    13. Yang Liu & Bingrui Liu & Yi Deng & Jia Liu, 2022. "Quantitative Analysis of COVID‐19 Pandemic Responses Based on an Improved SEIR‐SD Model," Complexity, John Wiley & Sons, vol. 2022(1).
    14. Anirban Dasgupta & Srijan Sengupta, 2022. "Scalable Estimation of Epidemic Thresholds via Node Sampling," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(1), pages 321-344, June.
    15. Deng, Ye & Wang, Zhigang & Xiao, Yu & Shen, Xiaoda & Kurths, Jürgen & Wu, Jun, 2025. "Spatial network disintegration based on spatial coverage," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    16. Yunpeng Xiao & Bai Wang & Yanbing Liu & Zhixian Yan & Xian Chen & Bin Wu & Guangxia Xu & Yuanni Liu, 2012. "Analyzing, Modeling, and Simulation for Human Dynamics in Social Network," Abstract and Applied Analysis, John Wiley & Sons, vol. 2012(1).
    17. repec:plo:pcbi00:1003563 is not listed on IDEAS
    18. Bisin, Alberto & Moro, Andrea, 2020. "Learning Epidemiology by Doing: The Empirical Implications of a Spatial SIR Model with Behavioral Responses," MPRA Paper 101059, University Library of Munich, Germany.
    19. repec:plo:pone00:0070578 is not listed on IDEAS
    20. repec:plo:pone00:0022220 is not listed on IDEAS
    21. Wiriya Mahikul & Somkid Kripattanapong & Piya Hanvoravongchai & Aronrag Meeyai & Sopon Iamsirithaworn & Prasert Auewarakul & Wirichada Pan-ngum, 2020. "Contact Mixing Patterns and Population Movement among Migrant Workers in an Urban Setting in Thailand," IJERPH, MDPI, vol. 17(7), pages 1-11, March.
    22. Askitas, Nikos & Tatsiramos, Konstantinos & Verheyden, Bertrand, 2020. "Lockdown Strategies, Mobility Patterns and COVID-19," IZA Discussion Papers 13293, IZA Network @ LISER.
    23. Bao, Haibo & Wu, Xifen, 2025. "Epidemic propagation with competitive information in multiplex networks with simplicial complexes," Chaos, Solitons & Fractals, Elsevier, vol. 201(P2).
    24. repec:plo:pone00:0058802 is not listed on IDEAS
    25. Zhangbo Yang & Jiahao Zhang & Shanxing Gao & Hui Wang, 2022. "Complex Contact Network of Patients at the Beginning of an Epidemic Outbreak: An Analysis Based on 1218 COVID-19 Cases in China," IJERPH, MDPI, vol. 19(2), pages 1-17, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:abf:journl:v:53:y:2023:i:3:p:44762-44765. 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: Angela Roy (email available below). General contact details of provider: .

    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.