Canine surveillance system for Lyme borreliosis in Wisconsin and northern Illinois: geographic distribution and risk factor analysis.

Guerra, Marta; Walker, Edward D.; Kitron, Uriel

doi:10.4269/ajtmh.2001.65.546

Cited by 56 publications

(48 citation statements)

References 34 publications

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“…Standardized efforts to measure risk have been conducted at the state level, where human risk for Lyme disease has been quantiÞed based on vector distribution (Drew et al 1988, Novak et al 1991, Schulze et al 1991, Kitron et al 1992, Daniels et al 1993, Bartholomew et al 1995, Pinger et al 1996, Riehle and Paskewitz 1996, Walker et al 1998, Guerra et al 2001 and human case reports (Glavanakov et al 2001). In studies including both tick surveys and human case surveillance and/or canine serosurveys, these two measurements have been found to be correlated (Rand et al 1991, White et al 1991, Daniels et al 1993, Nicholson and Mather 1996, Kitron and Kazmierczak 1997, Stafford et al 1998, Guerra et al 2001, although this has not always been the case (Mather et al 1996b, Daniels et al 1998, Brownstein et al 2005.…”

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confidence: 99%

Spatiotemporal Patterns of Host-Seeking Ixodes scapularis Nymphs (Acari: Ixodidae) in the United States

Diuk‐Wasser

Gatewood

Cortinas³

et al. 2006

Journal of Medical Entomology

158

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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° 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 autocorrelation 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.

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mentioning

confidence: 99%

Spatiotemporal Patterns of Host-Seeking Ixodes scapularis Nymphs (Acari: Ixodidae) in the United States

Diuk‐Wasser

Gatewood

Cortinas³

et al. 2006

Journal of Medical Entomology

158

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“…An alternative approach is to use landscape variables derived from remote sensing satellites as predictors, with or without incorporating the effects of spatial dependence. Pertinent examples include vectors of Eastern equine encephalomyelitis (Moncayo et al 2000), tick vectors of Lyme disease (Brownstein et al 2003, Guerra et al 2001, Kitron et al 1996, sand fly vectors of leishmaniasis (Cross et al 1996, Elnaiem et al 2003, Miranda et al 1998, Thomson et al 1999, tse-tse fly vectors of African trypanosomiasis (Kitron et al 1996, Rogers 2000, and mosquito vectors of malaria (Beck et al 1994, Diuk-Wasser et al 2004, Thomson et al 1996, Wood et al 1991a,b, 1992. Of these models, however, only a few have been validated with an independent dataset (Beck et al 1997, Brownstein et al 2004).…”

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confidence: 99%

Modeling the Spatial Distribution of Mosquito Vectors for West Nile Virus in Connecticut, USA

Diuk‐Wasser

Brown

Andreadis

et al. 2006

Vector-Borne and Zoonotic Diseases

155

142

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The risk of transmission of West Nile virus (WNV) to humans is associated with the density of infected vector mosquitoes in a given area. Current technology for estimating vector distribution and abundance is primarily based on Centers for Disease Control and Prevention (CDC) light trap collections, which provide only point data. In order to estimate mosquito abundance in areas not sampled by traps, we developed logistic regression models for five mosquito species implicated as the most likely vectors of WNV in Connecticut. Using data from 32 traps in Fairfield County from 2001 to 2003, the models were developed to predict high and low abundance for every 30 ؋ 30 m pixel in the County. They were then tested with an independent dataset from 16 traps in adjacent New Haven County. Environmental predictors of abundance were extracted from remotely sensed data. The best predictive models included non-forested areas for Culex pipiens, surface water and distance to estuaries for Cx. salinarius, surface water and grasslands/agriculture for Aedes vexans and seasonal difference in the normalized difference vegetation index and distance to palustrine habitats for Culiseta melanura. No significant predictors were found for Cx. restuans. The sensitivity of the models ranged from 75% to 87.5% and the specificity from 75% to 93.8%. In New Haven County, the models correctly classified 81.3% of the traps for Cx. pipiens, 75.0% for Cx. salinarius, 62.5% for Ae. vexans, and 75.0% for Cs. melanura. Continuous surface maps of habitat suitability were generated for each species for both counties, which could contribute to future surveillance and intervention activities.

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“…Immunoassays of serum samples from pet dogs revealed positive correlations between the prevalence of antibodies to B. burgdorferi antigens and the distribution of I. scapularis (2,3). In addition, dogs serve as a sentinel species for surveillance programs and provide estimates of the risk to humans in a given region (4)(5)(6).…”

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confidence: 99%

Diversity of Antibody Responses to Borrelia burgdorferi in Experimentally Infected Beagle Dogs

Baum

Grosenbaugh²,

Barbour

2014

Clin Vaccine Immunol

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Canine surveillance system for Lyme borreliosis in Wisconsin and northern Illinois: geographic distribution and risk factor analysis.

Cited by 56 publications

References 34 publications

Spatiotemporal Patterns of Host-Seeking Ixodes scapularis Nymphs (Acari: Ixodidae) in the United States

Spatiotemporal Patterns of Host-Seeking Ixodes scapularis Nymphs (Acari: Ixodidae) in the United States

Modeling the Spatial Distribution of Mosquito Vectors for West Nile Virus in Connecticut, USA

Diversity of Antibody Responses to Borrelia burgdorferi in Experimentally Infected Beagle Dogs

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