Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia
dc.contributor.author | Naish, S. | |
dc.contributor.author | Hu, W. | |
dc.contributor.author | Nicholls, N. | |
dc.contributor.author | Mackenzie, John | |
dc.contributor.author | Dale, P. | |
dc.contributor.author | McMichael, A. | |
dc.contributor.author | Tong, S. | |
dc.date.accessioned | 2017-01-30T12:21:51Z | |
dc.date.available | 2017-01-30T12:21:51Z | |
dc.date.created | 2016-09-12T08:36:24Z | |
dc.date.issued | 2009 | |
dc.identifier.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. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/20886 | |
dc.identifier.doi | 10.1111/j.1365-3156.2008.02217.x | |
dc.description.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. | |
dc.publisher | Blackwell Publishing Ltd | |
dc.title | Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia | |
dc.type | Journal Article | |
dcterms.source.volume | 14 | |
dcterms.source.number | 2 | |
dcterms.source.startPage | 247 | |
dcterms.source.endPage | 256 | |
dcterms.source.issn | 1360-2276 | |
dcterms.source.title | Tropical Medicine and International Health | |
curtin.accessStatus | Open access via publisher | |
curtin.faculty | Faculty of Health Sciences |
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