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Assessing the heterogeneity of a disease spread through a community 

Author: Paul S. F. Yip a
Affiliation:   a Department of Statistics, University of Hong Kong, Hong Kong
DOI: 10.1080/07362999708809510
Publication Frequency: 6 issues per year
Published in: journal Stochastic Analysis and Applications, Volume 15, Issue 5 1997 , pages 839 - 857
Formats available: PDF (English)
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Abstract

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
Keywords: Cox-Regression Model; Infection Rate; Multivariate Counting Process; Weight Function; Zero-Mean Martingale
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