The spread of awareness and its impact on epidemic outbreaks

By Sebastian Funk, E. Gilad, C. Watkins, Vincent A. A. Jansen. Proceedings of the National Academy of Sciences of the United States of America, 2009

1,083 citations recorded by the source corpus.

Subfields: Modeling and Simulation, Public Health, Environmental and Occupational Health, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/a4b7c55a9894f308222b08dbc1239e281d2360b5

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Citations in the corpus

Prevalence of Health Misinformation on Social Media: Systematic Review (2021, background): “Health professionals and organizations are also using this medium to disseminate health-related knowledge on healthy habits and medical information for disease prevention, as it represents an unprecedented opportunity to increase health literacy, self-efficacy, and treatment adherence among populati”
Game Theory of Social Distancing in Response to an Epidemic (2010, background): “[9] considers the information dynamics associated with social distancing in a network setting by prescribing a reduction in contacts based on proximity to infection.”
Risk perceptions of COVID-19 around the world (2020, background): “In fact, collectively, people’s behavior can fundamentally influence and alter the spread of a pandemic (Epstein et al. 2008; Funk et al. 2009; Reluga 2010; Van Bavel et al. 2020).”
Modeling human mobility responses to the large-scale spreading of infectious diseases (2011, background): “In the recent literature, a few attempts to model behavioral changes have been done [8, 9, 10, 11, 12, 13, 14] but any of these tackle the effect of social disruption inside a metapopulation framework.”
Disease ecology meets ecological immunology: understanding the links between organismal immunity and infection dynamics in natural populations (2011, background): “2002), infection-induced changes such as sickness behaviour can influence broad-scale disease dynamics (Lloyd-Smith, Getz & Westerhoff 2004; Funk et al. 2009).”
Multilayer networks (2013, neutral): “[123,124] also investigated an SIR model that was coupled to informationspreading dynamics.”
Non-pharmaceutical interventions during the COVID-19 pandemic: A review (2020, methodology): “Another type of approach used epidemiological data (such as incidence) to calibrate diseases and behavioral models [19,20].”
Coupled disease–behavior dynamics on complex networks: A review (2015, background): “In the seminal work, Funk and coworkers [78] formulated and analyzed a mathematical model for the spread of awareness in well-mixed and spatially structured populations to understand how the awareness of disease and also its propagation impact the spatial spread of a disease.”
Social Influence and the Collective Dynamics of Opinion Formation (2013, background): “Similar mechanisms of opinion dynamics can take place in a variety of social contexts, such as within a group of friends exchanging opinions about their willingness to get vaccinated against influenza [13,14].”
Modeling infectious disease dynamics in the complex landscape of global health (2015, positive): “Modeling has illuminated this process—for example, by the incorporation of peer influence on vaccination behavior intomodels of infectious disease dynamics (45, 46).”
Statistical physics of vaccination (2016, background): “4, apart from vaccination, there might also exist non-pharmaceutical interventions that may help mitigate the risks and seem of particular importance before effective vaccines are widely available [52, 54, 59, 412, 503, 589, 590].”