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   Where's the risk? Landscape epidemiology of gastrointestinal parasitism in Alberta beef cattle  
   
نویسنده beck m.a. ,colwell d.d. ,goater c.p. ,kienzle s.w.
منبع parasites and vectors - 2015 - دوره : 8 - شماره : 1
چکیده    Background: gastrointenstinal nematodes (gin) present a serious challenge to the health and productivity of grazing stock around the globe. however,the epidemiology of gin transmission remains poorly understood in northern climates. combining use of serological diagnostics,gis mapping technology,and geospatial statistics,we evaluated ecological covariates of spatial and temporal variability in gin transmission among bovine calves pastured in alberta,canada. methods: sera were collected from 1000 beef calves across alberta,canada over three consecutive years (2008-2010) and analyzed for presence of anti-gin antibodies using the svanovir ostertagia osteragi-ab elisa kit. using a gis and bayesian multivariate spatial statistics,we evaluated the degree to which variation in specific environmental covariates (e.g. moisture,humidity,temperature) was associated with variation in spatial and temporal heterogeneity in exposure to gin (nematodirus and other trichostrongyles,primarily ostertagia and cooperia). results: variation in growing degree days above a base temperature of 5°c,humidity,air temperature,and accumulated precipitation were found to be significant predictors of broad-scale spatial and temporal variation in serum antibody concentrations. risk model projections identified that while transmission in cattle from southeastern and northwestern alberta was relatively low in all years,rate of gin transmission was generally higher in the central region of alberta. conclusions: the spatial variability in risk is attributed to higher average humidity,precipitation and moderate temperatures in the central region of alberta in comparison with the hot,dry southeastern corner of the province and the cool,dry northwestern corner. although more targeted sampling is needed to improve model accuracy,our projections represent an important step towards tying treatment recommendations to actual risk of infection. © 2015 beck et al.
کلیدواژه Bayesian; Cattle; Gastrointestinal nematodes; GIS; Multivariate hierarchical models
آدرس department of biological sciences,university of lethbridge,4401 university drive,lethbridge,ab t1k 3 m4, Canada, agriculture and agri-food canada,lethbridge research station,5403 1st ave south,lethbirdge,ab t1j 4b1, Canada, department of biological sciences,university of lethbridge,4401 university drive,lethbridge,ab t1k 3 m4, Canada, department of geography,university of lethbridge,4401 university drive,lethbridge,ab t1k 3 m4, Canada
 
     
   
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