OBJECTIVE: To determine the epidemiologic plausibility of a sylvatic transmission cycle for Neospora caninum between wild canids and beef cattle. DESIGN: Spatial analysis study. ANIMALS: 1,009 weaned beef steers from 94 beef herds in Texas. PROCEDURE: Calves were grouped on the basis of seroprevalence for N caninum and ecologic region in Texas. The Morans I test was used to evaluate spatial interdependence for adjusted seroprevalence by ecologic region. Cattle density (Number of cattle/259 km2 [Number of cattle/100 mile2] of each ecologic region) and abundance indices for gray foxes and coyotes (Number of animals/161 spotlight-transect [census] km [Number of animals/100 census miles] of each ecologic region) were used as covariates in spatial regression models, with adjusted seroprevalence as the outcome variable. A geographic information system (GIS) that used similar covariate information for each county was used to validate spatial regression models. Results-Spatial interdependence was not detected for ecologic regions. Three spatial regression models were tested. Each model contained a variable for cattle density for the ecologic regions. Results for the 3 models revealed that seroprevalence was associated with cattle density and abundances of gray foxes, coyotes, or both. Abundances of gray foxes and coyotes were collinear. Results of a GIS-generated model validated these spatial models. CONCLUSIONS AND CLINICAL RELEVANCE: In Texas, beef cattle are at increased risk of exposure to N caninum as a result of the abundance of wild canids and the density of beef cattle. It is plausible that a sylvatic transmission cycle for neosporosis exists.
OBJECTIVE: To determine the epidemiologic plausibility of a sylvatic transmission cycle for Neospora caninum between wild canids and beef cattle. DESIGN: Spatial analysis study. ANIMALS: 1,009 weaned beef steers from 94 beef herds in Texas. PROCEDURE: Calves were grouped on the basis of seroprevalence for N caninum and ecologic region in Texas. The Morans I test was used to evaluate spatial interdependence for adjusted seroprevalence by ecologic region. Cattle density (Number of cattle/259 km2 [Number of cattle/100 mile2] of each ecologic region) and abundance indices for gray foxes and coyotes (Number of animals/161 spotlight-transect [census] km [Number of animals/100 census miles] of each ecologic region) were used as covariates in spatial regression models, with adjusted seroprevalence as the outcome variable. A geographic information system (GIS) that used similar covariate information for each county was used to validate spatial regression models. Results-Spatial interdependence was not detected for ecologic regions. Three spatial regression models were tested. Each model contained a variable for cattle density for the ecologic regions. Results for the 3 models revealed that seroprevalence was associated with cattle density and abundances of gray foxes, coyotes, or both. Abundances of gray foxes and coyotes were collinear. Results of a GIS-generated model validated these spatial models. CONCLUSIONS AND CLINICAL RELEVANCE: In Texas, beef cattle are at increased risk of exposure to N caninum as a result of the abundance of wild canids and the density of beef cattle. It is plausible that a sylvatic transmission cycle for neosporosis exists.
Authors: Gregory A Ballash; Mark C Jenkins; O C H Kwok; J P Dubey; Abigail B Shoben; Terry L Robison; Tom Kraft; Erik E Shaffer; Patricia M Dennis Journal: Ecohealth Date: 2019-01-09 Impact factor: 3.184
Authors: Germán J Cantón; Fabiana Moreno; María A Fiorentino; Yanina P Hecker; Maximiliano Spetter; Franco Fiorani; María G Monterubbianesi; Juan A García; Erika González Altamiranda; Karina M Cirone; Enrique L Louge Uriarte; Andrea E Verna; Maia Marin; Felipe Cheuquepán; Rosana Malena; Claudia Morsella; Fernando A Paolicchi; Eleonora L Morrell; Dadin P Moore Journal: Trop Anim Health Prod Date: 2022-07-30 Impact factor: 1.893
Authors: Cheryl Waldner; Brian K Wildman; Bruce W Hill; R Kent Fenton; Tom J Pittman; Oliver C Schunicht; G Kee Jim; P Timothy Guichon; Calvin W Booker Journal: Can Vet J Date: 2004-03 Impact factor: 1.008
Authors: Shannon L Donahoe; Scott A Lindsay; Mark Krockenberger; David Phalen; Jan Šlapeta Journal: Int J Parasitol Parasites Wildl Date: 2015-04-24 Impact factor: 2.674