Two Introductions of Lyme Disease into Connecticut: A Geospatial Analysis of Human Cases from 1984 to 2012.
Lyme disease has become the most prevalent vector-borne disease in the United States and results in morbidity in humans, especially children. We used historical case distributions to explain vector-borne disease introductions and subsequent geographic expansion in the absence of disease vector data. We used geographic information system analysis of publicly available Connecticut Department of Public Health case data from 1984, 1985, and 1991 to 2012 for the 169 towns in Connecticut to identify the yearly clusters of Lyme disease cases. Our analysis identified the spatial and temporal origins of two separate introductions of Lyme disease into Connecticut and identified the subsequent direction and rate of spread. We defined both epidemic clusters of cases using significant long-term spatial autocorrelation. The incidence-weighted geographic mean analysis indicates a northern trend of geographic expansion for both epidemic clusters. In eastern Connecticut, as the epidemic progressed, the yearly shift in the geographic mean (rate of epidemic expansion) decreased each year until spatial equilibrium was reached in 2007. The equilibrium indicates a transition from epidemic Lyme disease spread to stable endemic transmission, and we associate this with a reduction in incidence. In western Connecticut, the parabolic distribution of the yearly geographic mean indicates that following the establishment of Lyme disease (1988) the epidemic quickly expanded northward and established equilibrium in 2009.
1 Kansas State Epicenter, Department of Electrical and Computer Engineering, Kansas State University , Manhattan, Kansas.
Ling
L
Xue
1 Kansas State Epicenter, Department of Electrical and Computer Engineering, Kansas State University , Manhattan, Kansas.
Caterina
C
Scoglio
2 Center for Grain and Animal Health Research , ARS, USDA, Manhattan, Kansas.
D Scott
DS
McVey
3 Corvallis, Oregon.
Rebecca
R
Boone
2 Center for Grain and Animal Health Research , ARS, USDA, Manhattan, Kansas.
Lee W
LW
Cohnstaedt
D000818:Animals; D003237:Connecticut / Q000453:epidemiology; D040362:Geographic Information Systems; D006801:Humans; D015994:Incidence; D018884:Ixodes / Q000382:microbiology*; D008193:Lyme Disease / Q000453:epidemiology*; D015995:Prevalence; D062211:Spatio-Temporal Analysis; D017282:Tick-Borne Diseases / Q000453:epidemiology*; D015047:Zoonoses
Borrelia burgdorferi; Ixodes; Tick(s); Vector-borne; Zoonotic