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Preferential sampling in veterinary parasitological surveillance.
- Source :
-
Geospatial health [Geospat Health] 2016 Apr 18; Vol. 11 (1), pp. 412. Date of Electronic Publication: 2016 Apr 18. - Publication Year :
- 2016
-
Abstract
- In parasitological surveillance of livestock, prevalence surveys are conducted on a sample of farms using several sampling designs. For example, opportunistic surveys or informative sampling designs are very common. Preferential sampling refers to any situation in which the spatial process and the sampling locations are not independent. Most examples of preferential sampling in the spatial statistics literature are in environmental statistics with focus on pollutant monitors, and it has been shown that, if preferential sampling is present and is not accounted for in the statistical modelling and data analysis, statistical inference can be misleading. In this paper, working in the context of veterinary parasitology, we propose and use geostatistical models to predict the continuous and spatially-varying risk of a parasite infection. Specifically, breaking with the common practice in veterinary parasitological surveillance to ignore preferential sampling even though informative or opportunistic samples are very common, we specify a two-stage hierarchical Bayesian model that adjusts for preferential sampling and we apply it to data on Fasciola hepatica infection in sheep farms in Campania region (Southern Italy) in the years 2013-2014.
- Subjects :
- Animals
Bayes Theorem
Fasciola hepatica
Fascioliasis epidemiology
Fascioliasis veterinary
Italy epidemiology
Livestock parasitology
Sheep parasitology
Sheep Diseases epidemiology
Sheep Diseases parasitology
Parasitic Diseases, Animal epidemiology
Population Surveillance methods
Sampling Studies
Subjects
Details
- Language :
- English
- ISSN :
- 1970-7096
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Geospatial health
- Publication Type :
- Academic Journal
- Accession number :
- 27087037
- Full Text :
- https://doi.org/10.4081/gh.2016.412