Assessing the heterogeneity of a disease spread through a community
作者:
Paul S.F. Yip,
期刊:
Stochastic Analysis and Applications
(Taylor Available online 1997)
卷期:
Volume 15,
issue 5
页码: 839-857
ISSN:0736-2994
年代: 1997
DOI:10.1080/07362999708809510
出版商: Marcel Dekker, Inc.
关键词: Cox-Regression Model;Infection Rate;Multivariate Counting Process;Weight Function;Zero-Mean Martingale
数据来源: Taylor
摘要:
A multivariate non-parametric test and a semi-parametric regression model via counting process are proposed for detecting the heterogeneity of a disease spread through a community. The infection rates are allowed to depend on time in an arbitrary manner. Infectious data usually are not completely observed, nevertheless only partial information of the epidemic is needed for the suggested methods. The testing procedures and the associated methods of analysis are illustrated with reference to epidemics of respiratory disease on the Island of Tristan da Cunha in the South Atlantic
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