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Focal Points, Endogenous Processes, and Exogenous Shocks in the Autism Epidemic

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  • Kayuet Liu
  • Peter S. Bearman

Abstract

Autism prevalence has increased rapidly in the United States during the past two decades. We have previously shown that the diffusion of information about autism through spatially proximate social relations has contributed significantly to the epidemic. This study expands on this finding by identifying the focal points for interaction that drive the proximity effect on subsequent diagnoses. We then consider how diffusion dynamics through interaction at critical focal points, in tandem with exogenous shocks, could have shaped the spatial dynamics of autism in California. We achieve these goals through an empirically calibrated simulation model of the whole population of 3- to 9-year-olds in California. We show that in the absence of interaction at these foci—principally malls and schools—we would not observe an autism epidemic. We also explore the idea that epigenetic changes affecting one generation in the distal past could shape the precise spatial patterns we observe among the next generation.

Suggested Citation

  • Kayuet Liu & Peter S. Bearman, 2015. "Focal Points, Endogenous Processes, and Exogenous Shocks in the Autism Epidemic," Sociological Methods & Research, , vol. 44(2), pages 272-305, May.
    • Handle: RePEc:sae:somere:v:44:y:2015:i:2:p:272-305
    DOI: 10.1177/0049124112460369
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    References listed on IDEAS

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    1. King, M.D. & Fountain, C. & Dakhlallah, D. & Bearman, P.S., 2009. "Estimated autism risk and older reproductive age," American Journal of Public Health, American Public Health Association, vol. 99(9), pages 1673-1679.
    2. Kayuet Liu & Noam Zerubavel & Peter Bearman, 2010. "Social demographic change and autism," Demography, Springer;Population Association of America (PAA), vol. 47(2), pages 327-343, May.
    3. Neil M. Ferguson & Derek A. T. Cummings & Christophe Fraser & James C. Cajka & Philip C. Cooley & Donald S. Burke, 2006. "Strategies for mitigating an influenza pandemic," Nature, Nature, vol. 442(7101), pages 448-452, July.
    4. Neil M. Ferguson & Derek A.T. Cummings & Simon Cauchemez & Christophe Fraser & Steven Riley & Aronrag Meeyai & Sopon Iamsirithaworn & Donald S. Burke, 2005. "Strategies for containing an emerging influenza pandemic in Southeast Asia," Nature, Nature, vol. 437(7056), pages 209-214, September.
    5. Stephen Eubank & Hasan Guclu & V. S. Anil Kumar & Madhav V. Marathe & Aravind Srinivasan & Zoltán Toroczkai & Nan Wang, 2004. "Modelling disease outbreaks in realistic urban social networks," Nature, Nature, vol. 429(6988), pages 180-184, May.
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