ArticleApplied geography (Sevenoaks, England)2014
Modeling triple-diffusions of infectious diseases, information, and preventive behaviors through a metropolitan social network-An agent-based simulation.
Article in Applied geography (Sevenoaks, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Behavioural change models for infectious disease transmission: a systematic review (2010-2015).Journal of the Royal Society, Interface · 2016Pooled it
- A Systematic Literature Review of Agents Applied in Healthcare.Journal of medical systems · 2016Pooled it
- Simulating nationwide coupled disease and fear spread in an agent-based model.Scientific reports · 2025Article
- Impact of information dissemination and behavioural responses on epidemic dynamics: A multi-layer network analysis.Infectious Disease Modelling · 2025Article
- Adaptive behaviour during epidemics: a social risk appraisal approach to modelling dynamics.Journal of the Royal Society, Interface · 2025Article
- Assessing the instantaneous social dilemma on social distancing attitudes and vaccine behavior in disease control.Scientific reports · 2024Article
- Overcoming vaccine hesitancy by multiplex social network targeting: an analysis of targeting algorithms and implications.Applied network science · 2023Article
- Modeling COVID-19 Outbreaks in Long-Term Care Facilities Using an Agent-Based Modeling and Simulation Approach.International journal of environmental research and public health · 2022Article
- How do social media and individual behaviors affect epidemic transmission and control?The Science of the total environment · 2021Article
- Regionalization for infection control: An algorithm for delineating containment zones considering the regularity of human mobility.Applied geography (Sevenoaks, England) · 2021Article
- A spatio-temporal agent-based approach for modeling the spread of zoonotic cutaneous leishmaniasis in northeast Iran.Parasites & vectors · 2020Article
- Prediction and Potential Spatially Explicit Spread of COVID-19 in Mexico's Megacity North Periphery.Healthcare (Basel, Switzerland) · 2020Article
- The impact of the built environment on health behaviours and disease transmission in social systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Review
- Coupled disease-behavior dynamics on complex networks: A review.Physics of life reviews · 2015Review
- Introduction: clinical ethics beyond the urban hospital.HEC forum : an interdisciplinary journal on hospitals' ethical and legal issues · 2015Article
- The structure and dynamics of multilayer networks.Physics reports · 2014Review
Corrections and comments
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1 author.
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Abstract
A typical epidemic often involves the transmission of a disease, the flow of information regarding the disease, and the spread of human preventive behaviors against the disease. These three processes diffuse simultaneously through human social networks, and interact with one another, forming negative and positive feedback loops in the complex human-disease systems. Few studies, however, have been devoted to coupling all the three diffusions together and representing their interactions. To fill the knowledge gap, this article proposes a spatially explicit agent-based model to simulate a triple-diffusion process in a metropolitan area of 1 million people. The individual-based approach, network model, behavioral theories, and stochastic processes are used to formulate the three diffusions and integrate them together. Compared to the observed facts, the model results reasonably replicate the trends of influenza spread and information propagation. The model thus could be a valid and effective tool to evaluate information/behavior-based intervention strategies. Besides its implications to the public health, the research findings also contribute to network modeling, systems science, and medical geography.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.