Spatiotemporal patterns of host-seeking Ixodes scapularis nymphs (Acari: Ixodidae) in the United States. 2006

M A Diuk-Wasser, and A G Gatewood, and M R Cortinas, and S Yaremych-Hamer, and J Tsao, and U Kitron, and G Hickling, and J S Brownstein, and E Walker, and J Piesman, and D Fish
Department of Epidemiology and Public Health, Yale School of Medicine, 60 College St., New Haven, CT 06520-8034, USA.

The risk of Lyme disease for humans in the eastern United States is dependent on the density of host-seeking Ixodes scapularis Say nymphal stage ticks infected with Borrelia burgdorferi. Although many local and regional studies have estimated Lyme disease risk using these parameters, this is the first large-scale study using a standardized methodology. Density of host-seeking I. scapularis nymphs was measured by drag sampling of closed canopy deciduous forest habitats in 95 locations spaced among 2 degrees quadrants covering the entire United States east of the 100th meridian. Sampling was done in five standardized transects at each site and repeated three to six times during the summer of 2004. The total number of adults and nymphs of the seven tick species collected was 17,972, with 1,405 nymphal I. scapularis collected in 31 of the 95 sites. Peak global spatial autocorrelation values were found at the smallest lag distance (300 km) and decreased significantly after 1,000 km. Local auto-correlation statistics identified two significant high-density clusters around endemic areas in the northeast and upper Midwest and a low-density cluster in sites south of the 39th parallel, where only 21 nymphs were collected. Peak nymphal host-seeking density occurred earlier in the southern than in the most northern sites. Spatiotemporal density patterns will be combined with Borrelia prevalence data as part of a 4-yr survey to generate a nationwide spatial risk model for I. scapularis-borne Borrelia, which will improve targeting of disease prevention efforts.

UI MeSH Term Description Entries
D009758 Nymph The immature stage in the life cycle of those orders of insects characterized by gradual metamorphosis, in which the young resemble the imago in general form of body, including compound eyes and external wings; also the 8-legged stage of mites and ticks that follows the first moult.
D011156 Population Density Number of individuals in a population relative to space. Overpopulation,Population Size,Underpopulation,Densities, Population,Density, Population,Population Densities,Population Sizes
D005843 Geography The science dealing with the earth and its life, especially the description of land, sea, and air and the distribution of plant and animal life, including humanity and human industries with reference to the mutual relations of these elements. (From Webster, 3d ed) Factor, Geographic,Factors, Geographic,Geographic Factor,Geographic Factors,Geography, Human,Human Geography
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D001096 Arachnid Vectors Members of the class Arachnida, especially SPIDERS; SCORPIONS; MITES; and TICKS; which transmit infective organisms from one host to another or from an inanimate reservoir to an animate host. Arachnid Vector,Vector, Arachnid,Vectors, Arachnid
D013223 Statistics as Topic Works about the science and art of collecting, summarizing, and analyzing data that are subject to random variation. Area Analysis,Estimation Technics,Estimation Techniques,Indirect Estimation Technics,Indirect Estimation Techniques,Multiple Classification Analysis,Service Statistics,Statistical Study,Statistics, Service,Tables and Charts as Topic,Analyses, Area,Analyses, Multiple Classification,Area Analyses,Classification Analyses, Multiple,Classification Analysis, Multiple,Estimation Technic, Indirect,Estimation Technics, Indirect,Estimation Technique,Estimation Technique, Indirect,Estimation Techniques, Indirect,Indirect Estimation Technic,Indirect Estimation Technique,Multiple Classification Analyses,Statistical Studies,Studies, Statistical,Study, Statistical,Technic, Indirect Estimation,Technics, Estimation,Technics, Indirect Estimation,Technique, Estimation,Technique, Indirect Estimation,Techniques, Estimation,Techniques, Indirect Estimation
D013997 Time Factors Elements of limited time intervals, contributing to particular results or situations. Time Series,Factor, Time,Time Factor
D014481 United States A country in NORTH AMERICA between CANADA and MEXICO.
D016000 Cluster Analysis A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both. Clustering,Analyses, Cluster,Analysis, Cluster,Cluster Analyses,Clusterings
D018884 Ixodes The largest genus of TICKS in the family IXODIDAE, containing over 200 species. Many infest humans and other mammals and several are vectors of diseases such as LYME DISEASE; ENCEPHALITIS, TICK-BORNE; and KYASANUR FOREST DISEASE. Black-legged Tick,Blacklegged Tick,California Black Legged Tick,Castor Bean Tick,Deer Tick,Ixodes dammini,Ixodes pacificus,Ixodes persulcatus,Ixodes ricinus,Ixodes scapularis,Western Black Legged Tick,Western Blacklegged Tick,Black legged Tick,Black-legged Ticks,Blacklegged Tick, Western,Blacklegged Ticks,Castor Bean Ticks,Deer Ticks,Ixodes damminus,Ixodes scapulari,Tick, Black-legged,Tick, Blacklegged,Tick, Castor Bean,Tick, Deer,Tick, Western Blacklegged,Western Blacklegged Ticks

Related Publications

M A Diuk-Wasser, and A G Gatewood, and M R Cortinas, and S Yaremych-Hamer, and J Tsao, and U Kitron, and G Hickling, and J S Brownstein, and E Walker, and J Piesman, and D Fish
May 2020, Journal of medical entomology,
M A Diuk-Wasser, and A G Gatewood, and M R Cortinas, and S Yaremych-Hamer, and J Tsao, and U Kitron, and G Hickling, and J S Brownstein, and E Walker, and J Piesman, and D Fish
January 1998, Journal of medical entomology,
M A Diuk-Wasser, and A G Gatewood, and M R Cortinas, and S Yaremych-Hamer, and J Tsao, and U Kitron, and G Hickling, and J S Brownstein, and E Walker, and J Piesman, and D Fish
July 2023, Journal of medical entomology,
M A Diuk-Wasser, and A G Gatewood, and M R Cortinas, and S Yaremych-Hamer, and J Tsao, and U Kitron, and G Hickling, and J S Brownstein, and E Walker, and J Piesman, and D Fish
September 2018, Ticks and tick-borne diseases,
M A Diuk-Wasser, and A G Gatewood, and M R Cortinas, and S Yaremych-Hamer, and J Tsao, and U Kitron, and G Hickling, and J S Brownstein, and E Walker, and J Piesman, and D Fish
July 2001, Journal of medical entomology,
M A Diuk-Wasser, and A G Gatewood, and M R Cortinas, and S Yaremych-Hamer, and J Tsao, and U Kitron, and G Hickling, and J S Brownstein, and E Walker, and J Piesman, and D Fish
March 2021, Journal of medical entomology,
M A Diuk-Wasser, and A G Gatewood, and M R Cortinas, and S Yaremych-Hamer, and J Tsao, and U Kitron, and G Hickling, and J S Brownstein, and E Walker, and J Piesman, and D Fish
September 1998, Journal of medical entomology,
M A Diuk-Wasser, and A G Gatewood, and M R Cortinas, and S Yaremych-Hamer, and J Tsao, and U Kitron, and G Hickling, and J S Brownstein, and E Walker, and J Piesman, and D Fish
January 2022, Journal of medical entomology,
M A Diuk-Wasser, and A G Gatewood, and M R Cortinas, and S Yaremych-Hamer, and J Tsao, and U Kitron, and G Hickling, and J S Brownstein, and E Walker, and J Piesman, and D Fish
July 2022, Journal of medical entomology,
M A Diuk-Wasser, and A G Gatewood, and M R Cortinas, and S Yaremych-Hamer, and J Tsao, and U Kitron, and G Hickling, and J S Brownstein, and E Walker, and J Piesman, and D Fish
January 2002, Journal of medical entomology,
Copied contents to your clipboard!