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Related Experiment Video

Updated: Apr 3, 2026

Detecting the Lyme Disease Spirochete, Borrelia Burgdorferi, in Ticks Using Nested PCR
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Using Nation-Wide Health Insurance Claims Data to Augment Lyme Disease Surveillance.

Yi-Ju Tseng1, Aurel Cami1,2, Donald A Goldmann3,4

  • 11 Computational Health Informatics Program, Boston Children's Hospital , Boston, Massachusetts.

Vector Borne and Zoonotic Diseases (Larchmont, N.Y.)
|September 23, 2015
PubMed
Summary

Health insurance claims data reveal a significant increase in Lyme disease incidence across North America. This suggests that combining claims data with laboratory data can improve Lyme disease surveillance efforts.

Keywords:
Claims analysisEpidemiologic surveillanceIncidenceLyme disease

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Area of Science:

  • Public Health
  • Epidemiology
  • Infectious Diseases

Background:

  • Lyme disease (LD) is the most prevalent tick-borne illness in North America.
  • Current surveillance methods may not fully capture the true incidence of LD.

Purpose of the Study:

  • To evaluate the utility of health insurance claims data as an adjunct source for monitoring Lyme disease incidence trends.
  • To compare LD incidence derived from claims data with official state-reported data.

Main Methods:

  • Retrospective analysis of health insurance claims data from a nationwide US plan.
  • Inclusion of patients with newly diagnosed LD in 13 high-prevalence states.
  • Comparison of data from two periods: 2004-2006 and 2010-2012.

Main Results:

  • Lyme disease incidence in 2010-2012 (75.67 per 100,000 person-years) was 1.50 times higher than in 2004-2006 (50.25 per 100,000 person-years).
  • Claims data indicated higher LD incidence than reported by states to the CDC.
  • Eleven of the 13 highest-prevalence states showed an increase in LD incidence over time.

Conclusions:

  • Health insurance claims data are a sensitive, albeit imperfect, data source for LD surveillance.
  • Integrating claims data with electronic laboratory data, which offer high specificity, can enhance LD surveillance systems.
  • Future surveillance systems should consider a fusion of multiple data sources to accurately track Lyme disease trends.