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Improving Surveillance of Human Tick-Borne Disease Risks: Spatial Analysis Using Multimodal Databases.

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Summary
This summary is machine-generated.

This study integrated tick bite encounter data with canine reports and tick presence to map tick-borne disease risk. Findings offer improved county-level surveillance for public health officials.

Keywords:
Lyme diseaseOne Health modelentomologicalentomologyriskspatialsurveillancethematic mappingticktick bite encountertick-borne disease surveillancetriangulationvector

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Area of Science:

  • Epidemiology
  • Public Health
  • Veterinary Medicine

Background:

  • Tick-borne disease (TBD) risk extent in the U.S. is largely unknown.
  • Current surveillance methods (active entomological, passive public health) show limitations in accuracy and reporting.
  • Inconsistent results from entomological measures and underreporting in passive systems necessitate improved risk assessment.

Purpose of the Study:

  • To assess human tick-borne disease (TBD) risk using multimodal data sources.
  • To determine and evaluate various indicators as proxies for human TBD risk.
  • To integrate patient survey data on tick bite encounters (TBEs) with other relevant databases from a One Health perspective.

Main Methods:

  • Employed a mixed methods research strategy with triangulation techniques.
  • Conducted a 15-month web-based survey (starting Dec 2020) to collect TBE data.
  • Analyzed TBE reports (2000-2021) alongside canine serological data, tick presence (Ixodes scapularis, I. pacificus), and CDC-reported Lyme disease cases.

Main Results:

  • Survey data included 249 TBEs from 148 respondents across 144 eligible counties in 30 states.
  • Significant spatial matching was found between reported TBEs and official disease risk indicators at the county level.
  • One-to-one county-level matches occurred between reported TBEs and at least one risk indicator (canine serology, CDC Lyme data, or tick presence).

Conclusions:

  • Integrating patient TBE recall with canine serological reports, tick presence, and official TBD data provides granular, county-level TBD risk information.
  • This approach can inform clinicians and public health officials, supplementing existing surveillance systems.
  • The findings support the development of robust proxies for human TBD risk assessment.