Literature DB >> 20351799

THE TRANSMISSION AND PERSISTENCE OF 'URBAN LEGENDS': SOCIOLOGICAL APPLICATION OF AGE-STRUCTURED EPIDEMIC MODELS.

Andrew Noymer1.   

Abstract

This paper describes two related epidemic models of rumor transmission in an age-structured population. Rumors share with communicable disease certain basic aspects, which means that formal models of epidemics may be applied to the transmission of rumors. The results show that rumors may become entrenched very quickly and persist for a long time, even when skeptics are modeled to take an active role in trying to convince others that the rumor is false. This is a macrophenomeon, because individuals eventually cease to believe the rumor, but are replaced by new recruits. This replacement of former believers by new ones is an aspect of all the models, but the approach to stability is quicker, and involves smaller chance of extinction, in the model where skeptics actively try to counter the rumor, as opposed to the model where interest is naturally lost by believers. Skeptics hurt their own cause. The result shows that including age, or a variable for which age is a proxy (e.g., experience), can improve model fidelity and yield important insights.

Year:  2001        PMID: 20351799      PMCID: PMC2846379          DOI: 10.1080/0022250X.2001.9990252

Source DB:  PubMed          Journal:  J Math Sociol        ISSN: 0022-250X            Impact factor:   1.480


  4 in total

1.  Measles in developing countries. Part I. Epidemiological parameters and patterns.

Authors:  A R McLean; R M Anderson
Journal:  Epidemiol Infect       Date:  1988-02       Impact factor: 2.451

2.  The cohort as a concept in the study of social change.

Authors:  N B Ryder
Journal:  Am Sociol Rev       Date:  1965-12

3.  An age-structured model of pre- and post-vaccination measles transmission.

Authors:  D Schenzle
Journal:  IMA J Math Appl Med Biol       Date:  1984

4.  Measles in developing countries. Part II. The predicted impact of mass vaccination.

Authors:  A R McLean; R M Anderson
Journal:  Epidemiol Infect       Date:  1988-06       Impact factor: 2.451

  4 in total
  1 in total

1.  Limits on reliable information flows through stochastic populations.

Authors:  Lucas Boczkowski; Emanuele Natale; Ofer Feinerman; Amos Korman
Journal:  PLoS Comput Biol       Date:  2018-06-06       Impact factor: 4.475

  1 in total

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