Developments in general and syndromic surveillance for small area health data

被引：6

作者：

Lawson, A ^{[1
]}

Clark, A ^{[1
]}

Rodeiro, CLV ^{[1
]}

机构：

[1] Univ S Carolina, Norman J Arnold Sch Publ Hlth, Columbia, SC 29208 USA

来源：

JOURNAL OF APPLIED STATISTICS | 2004年 / 31卷 / 08期

基金：

美国国家卫生研究院;

关键词：

syndromic; surveillance; statistics; small area; health;

D O I：

10.1080/0266476042000270568

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this paper we examine a range of issues related to the analysis of health surveillance data when it is spatially-referenced The importance of considering alarm functions derived from likelihood or Bayesian models is stressed. In addition, we focus on some new developments in predictive distribution residuals in the analysis.

引用

页码：951 / 966

页数：16

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