NDLI: Hierarchical space-time modelling of epidemic dynamics: an application to measles outbreaks

Content Provider	Springer Nature Link
Author	Chiogna, Monica Gaetan, Carlo
Copyright Year	2004
Abstract	How infectious diseases spread in space and time is an important question that has received considerable theoretical attention. There are, however, few empirical studies to support theoretical approaches, because data is scarce. In this paper we propose to model the epidemic spread of measles in the London boroughs between 1960 and 1970 by an extension of the Kriged Kalman filter (Mardia et al. , 1998) to count data. Results show the flexibility of our approach in describing complex spatio-temporal dynamics.
Starting Page	55
Ending Page	71
Page Count	17
File Format	PDF
ISSN	16182510
Journal	Statistical Methods and Applications
Volume Number	13
Issue Number	1
e-ISSN	1613981X
Language	English
Publisher	Springer-Verlag
Publisher Date	2004-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Count data Kriged Kalman filter Time-varying model
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistics, Probability and Uncertainty

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Hierarchical space-time modelling of epidemic dynamics: an application to measles outbreaks