A spatial epidemiological analysis of nontuberculous mycobacterial infections in Queensland, Australia
1 University of Queensland, Infectious Disease Epidemiology Unit, School of Population Health, Brisbane, Australia
2 Gallipoli Medical Research Centre, Greenslopes Private Hospital, Brisbane, Australia
3 CHRISP-TB, Queensland Health, Brisbane, Australia
4 School of Population Health, University of Queensland, Level 2, Public Health Building, Herston Road, Herston, QLD 4006, Australia
BMC Infectious Diseases 2014, 14:279 doi:10.1186/1471-2334-14-279Published: 21 May 2014
The epidemiology of infections with nontuberculous mycobacteria (NTM) has been changing and the incidence has been increasing in some settings. The main route of transmission to humans is considered to be from the environment. We aimed to describe spatial clusters of cases of NTM infections and to identify associated climatic, environmental and socio-economic variables.
NTM data were obtained from the Queensland Mycobacterial Reference Laboratory for the period 2001–2011. A Bayesian spatial conditional autoregressive model was constructed at the postcode level, with covariates including soil variables, maximum, mean and minimum rainfall and temperature, income (proportion of population earning < $32,000 and < $52,000) and land use category.
Significant clusters of NTM infection were identified in the central Queensland region overlying the Surat sub-division of the Great Artesian Basin, as well as in the lower North Queensland Local Government Area known as the Whitsunday region. Our models estimated an expected increase of 21% per percentage increase of population earning < $52,000 (95% CI 9–34%) and an expected decrease of 13% for every metre increase of average topsoil depth for risk of Mycobacterium intracellulare infection (95% CI -3 – -22%). There was an estimated increase of 79% per mg/m3 increase of soil bulk density (95% CI 26–156%) and 19% decrease for every percentage increase in population earning < $32,000 for risk of M. kansasii infection (95% CI -3 – -49%).
There were distinct spatial clusters of M. kansasii, M. intracellulare and M. abscessus infections in Queensland, and a number of socio-ecological, economic and environmental factors were found to be associated with NTM infection risk.