Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia
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...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
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Blackwell Publishing Ltd
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/20886 |
| _version_ | 1848750435357163520 |
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| author | Naish, S. Hu, W. Nicholls, N. Mackenzie, John Dale, P. McMichael, A. Tong, S. |
| author_facet | Naish, S. Hu, W. Nicholls, N. Mackenzie, John Dale, P. McMichael, A. Tong, S. |
| author_sort | Naish, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:36:47Z |
| format | Journal Article |
| id | curtin-20.500.11937-20886 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:36:47Z |
| publishDate | 2009 |
| publisher | Blackwell Publishing Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-208862023-02-22T06:24:24Z Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia Naish, S. Hu, W. Nicholls, N. Mackenzie, John Dale, P. McMichael, A. Tong, S. 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. 2009 Journal Article http://hdl.handle.net/20.500.11937/20886 10.1111/j.1365-3156.2008.02217.x Blackwell Publishing Ltd unknown |
| spellingShingle | Naish, S. Hu, W. Nicholls, N. Mackenzie, John Dale, P. McMichael, A. Tong, S. Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia |
| title | Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia |
| title_full | Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia |
| title_fullStr | Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia |
| title_full_unstemmed | Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia |
| title_short | Socio-environmental predictors of Barmah forest virus transmission in coastal areas, Queensland, Australia |
| title_sort | socio-environmental predictors of barmah forest virus transmission in coastal areas, queensland, australia |
| url | http://hdl.handle.net/20.500.11937/20886 |