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Capturing human behaviour

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  • Neil Ferguson

    (Neil Ferguson is at the MRC Centre for Outbreak Analysis and Modelling, St Mary's Campus, Imperial College London, London W2 1PG, UK.)

Abstract

Understanding the dynamics of infectious-disease transmission demands a holistic approach, yet today's models largely ignore how epidemics change individual behaviour.

Suggested Citation

  • Neil Ferguson, 2007. "Capturing human behaviour," Nature, Nature, vol. 446(7137), pages 733-733, April.
    • Handle: RePEc:nat:nature:v:446:y:2007:i:7137:d:10.1038_446733a
    DOI: 10.1038/446733a
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    Citations

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    Cited by:

    1. Chris T Bauch & Samit Bhattacharyya, 2012. "Evolutionary Game Theory and Social Learning Can Determine How Vaccine Scares Unfold," PLOS Computational Biology, Public Library of Science, vol. 8(4), pages 1-12, April.
    2. Li, Dandan & Xie, Weijie & Han, Dun, 2024. "Multi-information and epidemic coupling propagation considering indirect contact on two-layer networks," Applied Mathematics and Computation, Elsevier, vol. 474(C).
    3. Martin-Lapoirie, Dylan & McColl, Kathleen & Gallopel-Morvan, Karine & Arwidson, Pierre & Raude, Jocelyn, 2024. "Health protective behaviours during the COVID-19 pandemic: Risk adaptation or habituation?," Social Science & Medicine, Elsevier, vol. 342(C).
    4. Carnehl, Christoph & Fukuda, Satoshi & Kos, Nenad, 2023. "Epidemics with behavior," Journal of Economic Theory, Elsevier, vol. 207(C).
    5. Huang, Jiechen & Wang, Juan & Xia, Chengyi, 2020. "Role of vaccine efficacy in the vaccination behavior under myopic update rule on complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    6. Lorenzo Amir Nemati Fard & Michele Starnini & Michele Tizzoni, 2023. "Modeling adaptive forward-looking behavior in epidemics on networks," Papers 2301.04947, arXiv.org.
    7. Boun My, Kene & Nguyen-Van, Phu & Kim Cuong Pham, Thi & Stenger, Anne & Tiet, Tuyen & To-The, Nguyen, 2022. "Drivers of organic farming: Lab-in-the-field evidence of the role of social comparison and information nudge in networks in Vietnam," Ecological Economics, Elsevier, vol. 196(C).
    8. Nicola Perra & Duygu Balcan & Bruno Gonçalves & Alessandro Vespignani, 2011. "Towards a Characterization of Behavior-Disease Models," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-15, August.
    9. Huo, Liang’an & Yu, Yue, 2023. "The impact of the self-recognition ability and physical quality on coupled negative information-behavior-epidemic dynamics in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    10. Fan, Chong-jun & Jin, Yang & Huo, Liang-an & Liu, Chen & Yang, Yun-peng & Wang, Ya-qiong, 2016. "Effect of individual behavior on the interplay between awareness and disease spreading in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 523-530.
    11. Caitlin Brown & Martin Ravallion, 2023. "Inequality and Social Distancing during the Pandemic," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 679-702, September.
    12. Yao Lu & Zheng Ji & Xiaoqi Zhang & Yanqiao Zheng & Han Liang, 2020. "Re-Thinking the Role of Government Information Intervention in the COVID-19 Pandemic: An Agent-Based Modeling Analysis," IJERPH, MDPI, vol. 18(1), pages 1-17, December.
    13. Pandita, Shailesh & Mishra, Hari Govind & Chib, Shagun, 2021. "Psychological impact of covid-19 crises on students through the lens of Stimulus-Organism-Response (SOR) model," Children and Youth Services Review, Elsevier, vol. 120(C).
    14. Raude, Jocelyn & MCColl, Kathleen & Flamand, Claude & Apostolidis, Themis, 2019. "Understanding health behaviour changes in response to outbreaks: Findings from a longitudinal study of a large epidemic of mosquito-borne disease," Social Science & Medicine, Elsevier, vol. 230(C), pages 184-193.
    15. Huayan Pei & Ying Ding & Guanghui Yan, 2024. "Impact of information adoption and the resulted self-protective actions on epidemic spreading in awareness-disease coupled multiplex networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 97(5), pages 1-10, May.
    16. Ronan F Arthur & James H Jones & Matthew H Bonds & Yoav Ram & Marcus W Feldman, 2021. "Adaptive social contact rates induce complex dynamics during epidemics," PLOS Computational Biology, Public Library of Science, vol. 17(2), pages 1-17, February.
    17. Arazi, R. & Feigel, A., 2021. "Discontinuous transitions of social distancing in the SIR model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    18. Ma, Weicai & Zhang, Peng & Zhao, Xin & Xue, Leyang, 2022. "The coupled dynamics of information dissemination and SEIR-based epidemic spreading in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    19. Avinash Collis & Kiran Garimella & Alex Moehring & M. Amin Rahimian & Stella Babalola & Nina H. Gobat & Dominick Shattuck & Jeni Stolow & Sinan Aral & Dean Eckles, 2022. "Global survey on COVID-19 beliefs, behaviours and norms," Nature Human Behaviour, Nature, vol. 6(9), pages 1310-1317, September.
    20. Dureau, Joseph & Kalogeropoulos, Konstantinos & Baguelin, Marc, 2013. "Capturing the time-varying drivers of an epidemic using stochastic dynamical systems," LSE Research Online Documents on Economics 41749, London School of Economics and Political Science, LSE Library.
    21. Anupama Sharma & Shakti N Menon & V Sasidevan & Sitabhra Sinha, 2019. "Epidemic prevalence information on social networks can mediate emergent collective outcomes in voluntary vaccine schemes," PLOS Computational Biology, Public Library of Science, vol. 15(5), pages 1-18, May.
    22. Qifeng Wan & Xuanhua Xu & Kyle Hunt & Jun Zhuang, 2022. "Stay Home or Not? Modeling Individuals’ Decisions During the COVID-19 Pandemic," Decision Analysis, INFORMS, vol. 19(4), pages 319-336, December.

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