Article
Assessing peridomestic entomological factors as predictors for Lyme disease.
Center for Vector-Borne Disease, University of Rhode Island, 9 East Alumni Ave., Suite 7, Kingston, RI 02881, USA.
Journal of Vector Ecology (impact factor:
0.88).
01/2007;
31(2):364-70.
pp.364-70
Source: PubMed
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Article: Vegetation structure influences the burden of immature Ixodes dammini on its main host, Peromyscus leucopus.
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ABSTRACT: To determine whether the relative abundance of immature Ixodes dammini (the vector of Lyme disease and human babesiosis) is related to habitat structure, we examined tick burdens on their main host, the white-footed mouse (Peromyscus leucopus), in 4 structurally diverse sites on Great Island, Massachusetts, USA. Vegetation structure at each site was quantified with respect to 25 habitat variables. Principal components analysis was used to reduce this set of habitat variables to seven new and orthogonal variables. Immature tick abundance varied widely among grids. Regression analysis of tick burdens on the habitat principal components showed that larval burdens were related strongly to the density of woody vegetation and negatively to herbaceous vegetation. Nymphal burdens were related negatively to herbaceous vegetation, but the relationship was not as strong as in the case of larvae. An experimental reduction in the abundance of white-tailed deer (Odocoileus virginianus), the main host of adult ticks, substantially reduced tick burdens and altered their relationships to habitat structure. Nymphal burdens were unrelated to habitat structure following deer removal. Manipulating habitat structure may have utility as a control strategy against this important vector.Parasitology 09/1992; 105 ( Pt 1):105-10. · 2.96 Impact Factor -
Article: A climate-based model predicts the spatial distribution of the Lyme disease vector Ixodes scapularis in the United States.
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ABSTRACT: An understanding of the spatial distribution of the black-legged tick, Ixodes scapularis, is a fundamental component in assessing human risk for Lyme disease in much of the United States. Although a county-level vector distribution map exists for the United States, its accuracy is limited by arbitrary categories of its reported presence. It is unknown whether reported positive areas can support established populations and whether negative areas are suitable for established populations. The steadily increasing range of I. scapularis in the United States suggests that all suitable habitats are not currently occupied. Therefore, we developed a spatially predictive logistic model for I. scapularis in the 48 conterminous states to improve the previous vector distribution map. We used ground-observed environmental data to predict the probability of established I. scapularis populations. The autologistic analysis showed that maximum, minimum, and mean temperatures as well as vapor pressure significantly contribute to population maintenance with an accuracy of 95% (p < 0.0001). A cutoff probability for habitat suitability was assessed by sensitivity analysis and was used to reclassify the previous distribution map. The spatially modeled relationship between I. scapularis presence and large-scale environmental data provides a robust suitability model that reveals essential environmental determinants of habitat suitability, predicts emerging areas of Lyme disease risk, and generates the future pattern of I. scapularis across the United States.Environmental Health Perspectives 08/2003; 111(9):1152-7. · 7.04 Impact Factor -
Article: Geographic information systems and spatial analysis of adult Ixodes scapularis (Acari: Ixodidae) in the Middle Atlantic region of the U.S.A.
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ABSTRACT: In the Middle Atlantic region of the U.S.A., the vector of Lyme disease, human granulocytic ehrlichiosis, babesiosis, and other human and veterinary pathogens is the black-legged tick, Ixodes scapularis Say. In 1997 and 1998, 663 adult I. scapularis ticks were collected from 320 transects spanning 66,400 km2 in five states of the Middle Atlantic region. Tick abundance patterns were clustered, with relatively high numbers along the coastal plain of the Chesapeake Bay, decreasing to the west and south. There were significant associations between tick abundance and land cover, distance to water, distance to forest edge, elevation, and soil type.Journal of Medical Entomology 08/2003; 40(4):570-6. · 1.76 Impact Factor
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Keywords
47 residential properties
Borrelia burgdorferi
endemic community
entomologic risk factors
entomological indices
etiologic agent
human behavior measures
human Lyme disease
individual residences
Ixodes scapularis
logistic regression
Lyme disease
Lyme disease histories
nymphal blacklegged ticks
residences sampled
self-reported cases
state health department
state-confirmed Lyme disease histories
Tick densities
tick-endemic community