IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v199y2025ip2s0960077925007076.html

How do diseases spread at the critical state?

Author

Listed:
  • Hou, Li-Feng
  • Wang, Shifu
  • Li, Li
  • Lu, Xin
  • Sun, Gui-Quan

Abstract

The transmission characteristics of infectious diseases near critical thresholds are essential for public health strategy formulation. This study employs reaction–diffusion SI with nonlinear and SIR models with saturated incidence rates, integrating optimal control theory to investigate epidemic propagation trends under critical conditions. The structural complexity of three epidemiological target states (extinction, quasi-uniform epidemic, and patterned epidemic) is quantitatively characterized using spatial entropy methods. A multi-indicator comparative analysis systematically reveals the evolutionary trends of epidemics in critical states from three dimensions: target attainability, average control intensity, and control complexity. The findings indicate that achieving a patterned epidemic state requires the lowest control intensity and spatial intervention complexity compared to extinction and quasi-uniform states, suggesting that epidemic systems in critical states are more inclined toward structured transmission patterns. The proposed framework for quantifying spatial structure and control complexity provides a theoretical basis and practical guidance for formulating spatial prevention and control strategies for infectious diseases in critical states.

Suggested Citation

  • Hou, Li-Feng & Wang, Shifu & Li, Li & Lu, Xin & Sun, Gui-Quan, 2025. "How do diseases spread at the critical state?," Chaos, Solitons & Fractals, Elsevier, vol. 199(P2).
  • Handle: RePEc:eee:chsofr:v:199:y:2025:i:p2:s0960077925007076
    DOI: 10.1016/j.chaos.2025.116694
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925007076
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2025.116694?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Remi Jedwab & Noel D. Johnson & Mark Koyama, 2022. "The Economic Impact of the Black Death," Journal of Economic Literature, American Economic Association, vol. 60(1), pages 132-178, March.
    2. Wan, Jinming & Ichinose, Genki & Small, Michael & Sayama, Hiroki & Moreno, Yamir & Cheng, Changqing, 2022. "Multilayer networks with higher-order interaction reveal the impact of collective behavior on epidemic dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    3. Fan, Yufei & Meng, Xueyu & Liu, Jun & Ma, Jun-Chao & Cai, Zhiqiang & Si, Shubin, 2025. "Hamiltonian optimal control of quarantine against epidemic spreading on complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 194(C).
    4. Rehman, Attiq ul & Singh, Ram & Agarwal, Praveen, 2021. "Modeling, analysis and prediction of new variants of covid-19 and dengue co-infection on complex network," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    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. Sabrine Emran & Oussama Tayebi, 2025. "L’avenir se décide aujourd’hui : pour une stratégie marocaine des minerais critiques et stratégiques," Research papers & Policy papers on Commodities & Energy 2415, Policy Center for the New South.

    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. Ahmed M. Elaiw & Raghad S. Alsulami & Aatef D. Hobiny, 2022. "Modeling and Stability Analysis of Within-Host IAV/SARS-CoV-2 Coinfection with Antibody Immunity," Mathematics, MDPI, vol. 10(22), pages 1-36, November.
    2. Deseau, Arnaud, 2024. "Speed of convergence in a Malthusian world: Weak or strong homeostasis?," Explorations in Economic History, Elsevier, vol. 94(C).
    3. Prados de la Escosura, Leandro & Rodríguez-Caballero, C. Vladimir, 2022. "War, pandemics, and modern economic growth in Europe," Explorations in Economic History, Elsevier, vol. 86(C).
    4. Broadberry, Stephen & Lennard, Jason, 2024. "European business cycles and economic growth, 1300–2000," Explorations in Economic History, Elsevier, vol. 94(C).
    5. Nie, Yanyi & Zhong, Xiaoni & Lin, Tao & Wang, Wei, 2022. "Homophily in competing behavior spreading among the heterogeneous population with higher-order interactions," Applied Mathematics and Computation, Elsevier, vol. 432(C).
    6. Zhang, Zehui & Zhu, Kangci & Wang, Fang & Liu, Lilin & Wang, Lin, 2025. "Effects of isolation and information dissemination on epidemic dynamics in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
    7. Rajpal, Akanksha & Bhatia, Sumit Kaur & Goel, Shashank & Tyagi, Sanyam & Kumar, Praveen, 2025. "Epidemic and unemployment interplay through bi-level multi delayed mathematical model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 229(C), pages 758-788.
    8. David Chilosi & Carlo Ciccarelli, 2021. "Southern and Northern Italy in the Great Divergence: New Perspectives from the Occupational Structure," Quaderni di storia economica (Economic History Working Papers) 47, Bank of Italy, Economic Research and International Relations Area.
    9. You, Xuemei & Zhang, Man & Ma, Yinghong & Tan, Jipeng & Liu, Zhiyuan, 2023. "Impact of higher-order interactions and individual emotional heterogeneity on information-disease coupled dynamics in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    10. Fluegge, Robert B., 2025. "Death, destruction, and growth in cities: Entrepreneurial capital and economic geography after the 1918 influenza," Journal of Urban Economics, Elsevier, vol. 150(C).
    11. Edward L Glaeser, 2022. "Reflections on the post-Covid city [Does working from home work? Evidence from a Chinese Experiment]," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 15(3), pages 747-755.
    12. Schneider, Benjamin & Vipond, Hillary, 2023. "The past and future of work: how history can inform the age of automation," Economic History Working Papers 119282, London School of Economics and Political Science, Department of Economic History.
    13. Wang, Li & Wang, Qing & Zhang, Yufei & Hori, Nobuaki, 2025. "Two kinds of centralization: Divergences between China and Europe," Economic Modelling, Elsevier, vol. 153(C).
    14. Doran, Áine & Colvin, Christopher L. & McLaughlin, Eoin, 2024. "What can we learn from historical pandemics? A systematic review of the literature," Social Science & Medicine, Elsevier, vol. 342(C).
    15. Wang, Jun & Ang, James B., 2024. "Epidemics, disease control, and China’s long-term development," Journal of Comparative Economics, Elsevier, vol. 52(1), pages 93-112.
    16. Hu, Xin & Wang, Zhishuang & Sun, Qingyi & Chen, Jiaxing & Zhao, Dawei & Xia, Chengyi, 2024. "Coupled propagation between one communicable disease and related two types of information on multiplex networks with simplicial complexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 645(C).
    17. repec:ehl:lserod:120307 is not listed on IDEAS
    18. McKibbin, Warwick & Fernando, Roshen, 2023. "The global economic impacts of the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 129(C).
    19. Chang, Xin & Cai, Chao-Ran & Zhang, Ji-Qiang & Yang, Wen-Li, 2024. "The universality of physical images at relative timescales on multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    20. Madsen, Jakob B. & Robertson, Peter E. & Ye, Longfeng, 2024. "Lives versus livelihoods in the middle ages: The impact of the plague on trade over 400 years," European Economic Review, Elsevier, vol. 162(C).
    21. Elizabeth C. Klee & Adair Morse & Chaehee Shin, 2024. "Auto Finance in the Electric Vehicle Transition," Finance and Economics Discussion Series 2024-065, Board of Governors of the Federal Reserve System (U.S.).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:chsofr:v:199:y:2025:i:p2:s0960077925007076. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.