NDLI: The epidemiology of atypical mycobacterial diseases in northern England: a space–time clustering and Generalized Linear Modelling approach

Content Provider	PubMed Central
Author	Rushton, S. P. Goodfellow, M. O'donnell, A. G. Magee, J. G.
Copyright Year	2006
Abstract	The incidence of infection by mycobacteria, other than tubercle bacilli (MOTT) is increasing in the United Kingdom, Europe and the United States. These diseases increase morbidity and are an increasing public health concern. However, the epidemiology of disease due to these species is not well characterized. We used space–time clustering approaches and Generalized Linear Modelling to investigate the potential predictors of disease in cases of infection by organisms of the Mycobacterium avium complex (MAC) and M. malmoense recorded in the north of England during 2000–2005. There was significant spatial and temporal clustering in juvenile cases of infection by MAC but not for cases of infection in adults by either species. There were no significant predictors of infection by M. malmoense or juvenile cases of M. avium. Incidence of disease caused by M. avium in adults was significantly related to health deprivation and weakly related to rainfall. We consider possible reasons for the difference in epidemiology in infection by M. avium in adults and juveniles.
Related Links	http://dx.doi.org/10.1017/s0950268806007424
Starting Page	765
File Format	PDF
ISSN	09502688
e-ISSN	14694409
Journal	Epidemiology and Infection
Issue Number	5
Volume Number	135
Language	English
Publisher	Cambridge University Press
Publisher Date	2007-07-01
Access Restriction	Open
Rights Holder	Cambridge University Press
Subject Keyword	Epidemiology Infectious Diseases Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Infectious Diseases Epidemiology

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