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