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Masking Behaviors in Epidemiological Networks with Cognitively-plausible Reinforcement Learning (2312.03301v1)

Published 6 Dec 2023 in cs.SI and physics.soc-ph

Abstract: The COVID-19 pandemic highlighted the critical role of human behavior in influencing infectious disease transmission and the need for models capturing this complex dynamic. We present an agent-based model integrating an epidemiological simulation of disease spread with a cognitive architecture driving individual mask-wearing decisions. Agents decide whether to mask based on a utility function weighting factors like peer conformity, personal risk tolerance, and mask-wearing discomfort. By conducting experiments systematically varying behavioral model parameters and social network structures, we demonstrate how adaptive decision-making interacts with network connectivity patterns to impact population-level infection outcomes. The model provides a flexible computational framework for gaining insights into how behavioral interventions like mask mandates may differentially influence disease spread across communities with diverse social structures. Findings highlight the importance of integrating realistic human decision processes in epidemiological models to inform policy decisions during public health crises.

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References (41)
  1. Mathematical Models for COVID-19 Pandemic: A Comparative Analysis. Journal of the Indian Institute of Science, 100(4):793–807.
  2. Effect of Timing of and Adherence to Social Distancing Measures on COVID-19 Burden in the United States. Annals of Internal Medicine, 174(1):50–57.
  3. Non-pharmaceutical public health interventions for pandemic influenza: An evaluation of the evidence base. BMC public health, 7:208.
  4. An integrated theory of the mind. Psychological review, 111(4):1036.
  5. Brief introductory guide to agent-based modeling and an illustration from urban health research. Cadernos De Saude Publica, 31 Suppl 1:65–78.
  6. Group interest versus self-interest in smallpox vaccination policy. Proceedings of the National Academy of Sciences, 100(18):10564–10567.
  7. Comparative experimental evidence on compliance with social distancing during the COVID-19 pandemic.
  8. Mathematical models of the interplay between individual vaccinating decisions and disease dynamics: A need for closer integration of models and data. Human Vaccines & Immunotherapeutics, 8(6):842–844.
  9. Rural and urban differences in covid-19 prevention behaviors. The Journal of Rural Health, 37(2):287–295.
  10. Why people failed to adhere to COVID-19 preventive behaviors? Perspectives from an integrated behavior change model. Infection Control and Hospital Epidemiology, 42(3):375–376.
  11. Chapter 12 - Individual and Collective Behavior in Public Health Epidemiology. In Srinivasa Rao, A. S. R., Pyne, S., and Rao, C. R., editors, Handbook of Statistics, volume 36 of Disease Modelling and Public Health, Part A, pages 329–365. Elsevier.
  12. Erratic flu vaccination emerges from short-sighted behavior in contact networks. PLoS Comput Biol, 7(1):e1001062.
  13. Change in Reported Adherence to Nonpharmaceutical Interventions During the COVID-19 Pandemic, April-November 2020. JAMA.
  14. Modelling disease outbreaks in realistic urban social networks. Nature, 429(6988):180–184.
  15. Modelling the influence of human behaviour on the spread of infectious diseases: A review. Journal of The Royal Society Interface, 7(50):1247–1256.
  16. COMOKIT: A Modeling Kit to Understand, Analyze, and Compare the Impacts of Mitigation Policies Against the COVID-19 Epidemic at the Scale of a City. Frontiers in Public Health, 8:563247.
  17. Instance-based learning in dynamic decision making. Cognitive Science, 27(4):591–635.
  18. OpenABM-Covid19 - an agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing. medRxiv, page 2020.09.16.20195925.
  19. Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period. Science, 368(6493):860–868.
  20. Implicit and explicit learning in a hybrid architecture of cognition. Behavioral and Brain Sciences, 22(5):772–773.
  21. Implicit and explicit learning in act-r. In Proceedings of the second European conference on cognitive modelling, pages 183–189. Nottingham University Press Nottingham.
  22. Impact of mobility restriction in COVID-19 superspreading events using agent-based model. PLOS ONE, 16(3):e0248708.
  23. Modeling the Interplay between Human Behavior and the Spread of Infectious Diseases. Springer Science & Business Media.
  24. Improving Decision Support for Infectious Disease Prevention and Control: Aligning Models and Other Tools with Policymakers’ Needs. RAND Corporation.
  25. Marathe, M. V. (2014). Synthetic Data Products for Societal Infrastructures and Proto-Populations: Data Set 2.0. Technical Report NDSSL-TR-07-003, Network Dynamics and Simulation Science Laboratory, Virginia Polytechnic Institute and State University, 1880 Pratt Dr, Building XV, Blacksburg, VA, 24061.
  26. Psychologically-valid generative agents: A novel approach to agent-based modeling in social sciences. In Proceedings of the 2023 AAAI Fall Symposium Serieson Integrating Cognitive Architectures and Generative Models. AAAI Press.
  27. Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602.
  28. Optimal non-pharmaceutical pandemic response strategies depend critically on time horizons and costs. Scientific Reports, 13(1):2416.
  29. Pearl, J. (2009). Causality. Cambridge University Press.
  30. Cognitive modeling for computational epidemiology. In 2020 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SPB-BRIMS 2020).
  31. Mining Online Social Media to Drive Psychologically Valid Agent Models of Regional Covid-19 Mask Wearing, pages 46–56. Springer International Publishing, Cham.
  32. A computational cognitive model of behaviors and decisions that modulate pandemic transmission: Expectancy-value, attitudes, self-efficacy, and motivational intensity. Front Psychol, 13:981983.
  33. Evolving public perceptions and stability in vaccine uptake. Mathematical Biosciences, 204(2):185–198.
  34. Computational Models That Matter During a Global Pandemic Outbreak: A Call to Action. Journal of Artificial Societies and Social Simulation, 23(2):10.
  35. Can influenza epidemics be prevented by voluntary vaccination? PLoS computational biology, 3(5):e85.
  36. Modeling Infectious Behaviors: The Need to Account for Behavioral Adaptation in COVID-19 Models. Policy and complex systems, 7(1):21–32.
  37. Modeling Influenza Vaccination Behavior via Inductive Reasoning Games. In Manfredi, P. and D’Onofrio, A., editors, Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases, pages 203–227. Springer, New York, NY.
  38. Behavioural change models for infectious disease transmission: A systematic review (2010-2015). Journal of the Royal Society, Interface, 13(125):20160820.
  39. Conscious and unconscious knowledge: Mapping to the symbolic and subsymbolic levels of a hybrid architecture. In Jiménez, L., editor, Attention and Implicit Learning, pages 215–250. John Benjamins Publishing Company, Amsterdam, Netherlands.
  40. Q-learning. Machine learning, 8:279–292.
  41. Covid-19 hospitalization trends in rural versus urban areas in the united states. Medical Care Research and Review, 80(2):236–244.
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Authors (6)
  1. Konstantinos Mitsopoulos (4 papers)
  2. Lawrence Baker (2 papers)
  3. Christian Lebiere (9 papers)
  4. Peter Pirolli (4 papers)
  5. Mark Orr (2 papers)
  6. Raffaele Vardavas (5 papers)