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Interactions of viral pathogens on hospital admissions for pneumonia, croup and chronic obstructive pulmonary diseases: results of a multivariate time-series analysis

Published online by Cambridge University Press:  20 April 2006

R. E. G. UPSHUR ,
R. MOINEDDIN ,
E. J. CRIGHTON  and
M. MAMDANI
R. E. G. UPSHUR
Affiliation:
Primary Care Research Unit, Sunnybrook and Women's College Health Sciences Centre, Toronto, ON, Canada Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada Department of Public Health Sciences, University of Toronto, Toronto, ON, Canada Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
R. MOINEDDIN
Affiliation:
Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada Department of Public Health Sciences, University of Toronto, Toronto, ON, Canada
E. J. CRIGHTON
Affiliation:
Primary Care Research Unit, Sunnybrook and Women's College Health Sciences Centre, Toronto, ON, Canada
M. MAMDANI
Affiliation:
Institute for Clinical Evaluative Sciences, Toronto, ON, Canada Health Policy Management and Evaluation, University of Toronto, Toronto, ON, Canada Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
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Abstract

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Co-circulation of respiratory syncytial virus (RSV) and influenza has made the partitioning of morbidity and mortality from each virus difficult. Given the interaction between chronic obstructive lung disease (COPD) and pneumonia, often one can be mistaken for the other. Multivariate time-series methodology was applied to examine the impact of RSV and influenza on hospital admissions for bronchiolitis, pneumonia, and COPD. The Granger Causality Test, used to determine the causal relationship among series, showed that COPD and pneumonia are not influenced by RSV (P=0·2999 and 0·7725), but RSV does influence bronchiolitis (P=0·0001). Influenza was found to influence COPD, pneumonia, and bronchiolitis (P<0·0001). The use of multivariate time series and Granger causality applied to epidemiological data clearly illustrates the significant contribution of influenza and RSV to morbidity in the population.

Type
Research Article
Information
Epidemiology & Infection , Volume 134 , Issue 6 , December 2006 , pp. 1174 - 1178
Copyright
2006 Cambridge University Press