This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 42
Type: Contributed
Date/Time: Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #309003
Title: Mapping Local Risk Ratios of Rare Infectious Diseases with Aggregate Data
Author(s): Nong Shang*+
Companies: CDC
Address: 1600 Clifton Rd, Atlanta, GA, 30333,
Keywords: Disease mapping ; intersection of polygons ; nearest neighbor ; population at risk ; risk ratio
Abstract:

Most morbidity studies aggregate data at geographic units (counties, zip-codes) with usually spatial coordinators of the centroids. Statistical approaches such as Bayesian modeling of spatial dependence, statistical smoothing of the rates, have been applied to stabilize the rate estimations and to obtain better visual interpretation of the disease trend. If additional information such as the boundaries of the geographic units is available, then these methods can be further refined. We propose an approach that based on the idea of the nearest neighbor method with initial smoothing of data over the entire units. Algorithms from computation geometry are applied to identify the nearest neighborhoods as well as their interactions with the geographic units. The method stabilizes the estimations of risk ratios and automatically adjusts the effect of the heterogeneous distribution of population.


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