title: Using a spatial filter and a geographic information system to improve rabies surveillance data.
abstract: The design and coordination of antirabies measures (e.g., oral vaccine and disease awareness campaigns) often depend on surveillance data. In Kentucky, health officials are concerned that the raccoon rabies epizootic that has spread throughout the east coast since the late 1970s could enter the state. The quality of surveillance data from Kentucky's 120 counties, however, may not be consistent. This article presents a geographic model that can be used with a geographic information system (GIS) to assess whether a county has a lower number of animals submitted for rabies testing than surrounding counties. This technique can be used as a first step in identifying areas needing improvement in their surveillance scheme. This model is a variant of a spatial filter that uses points within an area of analysis (usually a circle) to estimate the value of a central point. The spatial filter is an easy-to-use method of identifying point patterns, such as clusters or holes, at various geographic scales (county, intraurban), by using the traditional circle as an area of analysis or a GIS to incorporate a political shape (county boundary).
authors.affiliation: Howe/Russell Geoscience Complex, Louisiana State University, Baton Rouge, LA 70803-4105, USA. acurti1@lsu.edu
authors.forename: A
authors.initials: A
authors.lastname: Curtis
mesh_terms: D000818:Animals; D004812:Epidemiologic Methods; D007629:Kentucky / Q000453:epidemiology; D011159:Population Surveillance / Q000379:methods*; D011818:Rabies / Q000453:epidemiology*; D011821:Raccoons