Research Article

Geographic distribution of autism in California: A retrospective birth cohort analysis†

  1. Karla C. Van Meter1,2,*,
  2. Lasse E. Christiansen2,3,
  3. Lora D. Delwiche2,
  4. Rahman Azari4,
  5. Tim E. Carpenter2,5,
  6. Irva Hertz-Picciotto1,6

Article first published online: 4 JAN 2010

DOI: 10.1002/aur.110

Issue

Autism Research

Autism Research

Volume 3, Issue 1, pages 19–29, February 2010

Additional Information

How to Cite

Van Meter, K. C., Christiansen, L. E., Delwiche, L. D., Azari, R., Carpenter, T. E. and Hertz-Picciotto, I. (2010), Geographic distribution of autism in California: A retrospective birth cohort analysis. Autism Res, 3: 19–29. doi: 10.1002/aur.110

Author Information

  1. 1

    Department of Public Health Sciences, School of Medicine, and M.I.N.D. (Medical Investigations of Neurodevelopmental Disorders) Institute, University of California, Davis, California

  2. 2

    Center for Animal Disease Modeling and Surveillance, School of Veterinary Medicine (CADMS), University of California, Davis, California

  3. 3

    Informatics and Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark

  4. 4

    Department of Statistics, University of California, Davis, California

  5. 5

    Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, California

  6. 6

    Center for Children's Environmental Health, School of Veterinary Medicine, University of California, Davis, California

*UC Davis, VM: CADMS, One Shields Avenue * 1044 Haring Hall, Davis, CA 95616

  1. †
    CDER

    Client Development Evaluation Report

    CDT

    cluster detection test

    DDS

    California Department of Developmental Services

    ESR

    Early Start Report

    ICD-9-CM

    International Classification of Diseases, 9th revision, Clinical Modification, U.S. Department of Health and Human Services

    MEET

    Maximized Excess Event Test, a global clustering test

    RC

    Regional Center of the DDS

    RR

    relative risk, incidence within a cluster population/ incidence in the population in the rest of the study region as determined by CDTs

    .

Publication History

  1. Issue published online: 18 FEB 2010
  2. Article first published online: 4 JAN 2010
  3. Manuscript Accepted: 10 NOV 2009
  4. Manuscript Revised: 28 SEP 2009
  5. Manuscript Received: 11 JUL 2008

Funded by

  • NIEHS P01. Grant Number: ES11269
  • NIEHS 01. Grant Number: ES015359
  • EPA STAR. Grant Number: R829388
  • UC Davis M.I.N.D. Institute, UC Davis Center for Animal Disease Modeling and Surveillance (CADMS)

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