Generalizing the spatial relative risk function

被引:17
作者
Fernand, W. T. P. Sarojinie [1 ]
Hazelton, Martin L. [1 ,2 ]
机构
[1] Massey Univ, Inst Fundamental Sci, Private Bag 11222, Palmerston North, New Zealand
[2] Massey Univ, Infect Dis Res Ctr, Palmerston North, New Zealand
关键词
Bandwidth selection; Covariate; Density ratio; Foot and mouth disease; Kernel density estimation; Spatio-temporal;
D O I
10.1016/j.sste.2013.12.002
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The spatial relative risk function is defined as the ratio of densities describing respectively the spatial distribution of cases and controls. It has proven to be an effective tool for visualizing spatial variation in risk in many epidemiological applications over the past 20 years. We discuss the generalization of this function to spatio-temporal case-control data, and also to situations where there are covariates available that may affect the spatial patterns of disease. We examine estimation of the generalized relative risk functions using kernel smoothing, including asymptotic theory and data-driven bandwidth selection. We also consider construction of tolerance contours. Our methods are illustrated on spatio-temporal data describing the 2001 outbreak of foot-and-mouth disease in the United Kingdom, with farm size as a covariate. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 24 条