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    Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia

    Access Status
    Open access via publisher
    Authors
    Naish, S.
    Hu, W.
    Nicholls, N.
    Mackenzie, John
    Dale, P.
    McMichael, A.
    Tong, S.
    Date
    2009
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Naish, S. and Hu, W. and Nicholls, N. and Mackenzie, J. and Dale, P. and McMichael, A. and Tong, S. 2009. Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia. Tropical Medicine and International Health. 14 (2): pp. 247-256.
    Source Title
    Tropical Medicine and International Health
    DOI
    10.1111/j.1365-3156.2008.02217.x
    ISSN
    1360-2276
    Faculty
    Faculty of Health Sciences
    URI
    http://hdl.handle.net/20.500.11937/20886
    Collection
    • Curtin Research Publications
    Abstract

    Objective : To assess the socio-environmental predictors of Barmah forest virus (BFV) transmission in coastal areas, Queensland, Australia. Methods : Data on BFV notified cases, climate, tidal levels and socioeconomic index for area (SEIFA) in six coastal cities, Queensland, for the period 1992-2001 were obtained from the relevant government agencies. Negative binomial regression models were used to assess the socio-environmental predictors of BFV transmission. Results : The results show that maximum and minimum temperature, rainfall, relative humidity, high and low tide were statistically significantly associated with BFV incidence at lags 0-2 months. The fitted negative binomial regression models indicate a significant independent association of each of maximum temperature (ß = 0.139, P = 0.000), high tide (ß = 0.005, P = 0.000) and SEIFA index (ß = -0.010, P = 0.000) with BFV transmission after adjustment for confounding variables. Conclusions : The transmission of BFV disease in Queensland coastal areas seemed to be determined by a combination of local social and environmental factors. The model developed in this study may have applications in the control and prevention of BFV disease in these areas. © 2009 Blackwell Publishing Ltd.

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