Data from: A new way to estimate neurologic disease prevalence in the United States

Lorene M. Nelson, Mitchell T. Wallin, Ruth Ann Marrie, W.J. Culpepper, Annette Langer-Gould, Jon Campbell, Stephen Buka, Helen Tremlett, Gary Cutter, Wendy Kaye, Laurie Wagner & Nicholas G. Larocca
Objective: Considerable gaps exist in knowledge regarding the prevalence of neurologic diseases, such as multiple sclerosis (MS), in the United States. Therefore, the MS Prevalence Working Group sought to review and evaluate alternative methods for obtaining a scientifically valid estimate of national MS prevalence in the current health care era. Methods: We carried out a strengths, weaknesses, opportunities, and threats (SWOT) analysis for 3 approaches to estimate MS prevalence: population-based MS registries, national probability health...

Registration Year

  • 2019
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Resource Types

  • Dataset
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Affiliations

  • University of Alabama at Birmingham
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  • Stanford University School of Medicine
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  • University of Manitoba
    1
  • University of Colorado Denver
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  • National Multiple Sclerosis Society
    1
  • University of British Columbia
    1
  • University of Maryland, Baltimore
    1
  • Brown University
    1