The Talk of the Town: Modelling the Spread of Information and Changes in Behaviour

Changes in host behaviour can influence the course of a disease outbreak. These changes can be triggered not only by public campaigns and mass media reporting, but also by person-to-person communication and influence from peers. Here, we describe a model in which awareness of the presence of a disease can spread in a population and influence the spread of the disease itself through protective measures that people can take. We describe the dynamics of disease spread, focusing, in particular, on the relation between awareness and proximity of disease in the network.

[1]  D Cassi,et al.  Efficiency of information spreading in a population of diffusing agents. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Damon Centola,et al.  The Spread of Behavior in an Online Social Network Experiment , 2010, Science.

[3]  WILLIAM GOFFMAN,et al.  Generalization of Epidemic Theory: An Application to the Transmission of Ideas , 1964, Nature.

[4]  Yamir Moreno,et al.  Theory of Rumour Spreading in Complex Social Networks , 2007, ArXiv.

[5]  S. Cornell,et al.  Dynamics of the 2001 UK Foot and Mouth Epidemic: Stochastic Dispersal in a Heterogeneous Landscape , 2001, Science.

[6]  H. Landahl On the spread of information with time and distance , 1953 .

[7]  W. Mcneill Plagues and Peoples , 1977, The Review of Politics.

[8]  Alessandro Vespignani,et al.  Efficiency and reliability of epidemic data dissemination in complex networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  Dirk Helbing,et al.  Modelling the evolution of human trail systems , 1997, Nature.

[10]  D Cassi,et al.  Universal features of information spreading efficiency on d-dimensional lattices. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[11]  Yamir Moreno,et al.  Dynamics of rumor spreading in complex networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  Timothy A. Kohler,et al.  Dynamics in human and primate societies: agent-based modeling of social and spatial processes , 2000 .

[13]  W. Goffman,et al.  Communication and epidemic processes , 1967, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[14]  B. Fischhoff,et al.  Judged frequency of lethal events , 1978 .

[15]  D. Zanette Dynamics of rumor propagation on small-world networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[17]  D. Zanette Critical behavior of propagation on small-world networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Robert L. Goldstone,et al.  Computational models of collective behavior , 2005, Trends in Cognitive Sciences.

[19]  R. May,et al.  Infectious Diseases of Humans: Dynamics and Control , 1991, Annals of Internal Medicine.

[20]  L. Bettencourt,et al.  The power of a good idea: Quantitative modeling of the spread of ideas from epidemiological models , 2005, physics/0502067.

[21]  H. Kunzi,et al.  Lectu re Notes in Economics and Mathematical Systems , 1975 .

[22]  N. Stollenwerk,et al.  Measles Outbreaks in a Population with Declining Vaccine Uptake , 2003, Science.

[23]  Tao Sun,et al.  Media dependencies in a changing media environment: the case of the 2003 SARS epidemic in China , 2007, New Media Soc..

[24]  R. E. Wilson,et al.  Mechanisms for spatio-temporal pattern formation in highway traffic models , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[25]  WILLIAM GOFFMAN,et al.  Mathematical Approach to the Spread of Scientific Ideas—the History of Mast Cell Research , 1966, Nature.

[26]  Aaron Lynch THOUGHT CONTAGION AS ABSTRACT EVOLUTION , 2013 .

[27]  D. Kendall,et al.  Epidemics and Rumours , 1964, Nature.

[28]  Marcel Salathé,et al.  Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control , 2011, PLoS Comput. Biol..

[29]  W. O. Kermack,et al.  A contribution to the mathematical theory of epidemics , 1927 .

[30]  Alan Kirman,et al.  Economics with Heterogeneous Interacting Agents , 2001 .

[31]  A. Rapoport,et al.  Contribution to the mathematical theory of contagion and spread of information: I. Spread through a thoroughly mixed population , 1953 .

[32]  H. Nishiura Time variations in the transmissibility of pandemic influenza in Prussia, Germany, from 1918–19 , 2007, Theoretical biology & medical modelling.

[33]  M. Macy,et al.  FROM FACTORS TO ACTORS: Computational Sociology and Agent-Based Modeling , 2002 .

[34]  V. Jansen,et al.  Modelling the influence of human behaviour on the spread of infectious diseases: a review , 2010, Journal of The Royal Society Interface.

[35]  Vincent A. A. Jansen,et al.  Population Biology And Criticality: From Critical Birth-Death Processes To Self-Organized Criticality In Mutation Pathogen Systems , 2010 .

[36]  C. Watkins,et al.  The spread of awareness and its impact on epidemic outbreaks , 2009, Proceedings of the National Academy of Sciences.

[37]  Timothy A. Kohler Dynamics in Human and Primate Societies , 2000 .