This dataset comes from a study which sought to forecast the future risk of Barmah Forest virus disease (BFV) under climate change scenarios.

The study was conducted in Queensland, Australia, an area covering 1,727,200 km² (22·5% of the country) with 7,400 km of continental coastline and 9,800 km including islands. The estimated population was 4,580,725 on 30 June, 2011 for Queensland, Australia.

To complete the forecast several existing datasets were drawn upon: data on notified BFV cases covering the period 2000–2008 were obtained from Queensland Health. Gridded (5 km×5 km) climate data with complete records of annual average maximum and minimum temperature and rainfall were provided by Australian Bureau of Meteorology for the same period. Data on socio-economic indicator (i.e., SEIFA index) and tides were obtained from Australian Bureau of Statistics and Queensland Transport, respectively.

This data was used to model the current geographical distribution of BFV disease transmission across Queensland coastal regions and to project the potential changes in the risk of geographical distribution of BFV disease transmission for the years 2025, 2050 and 2100 in Queensland, Australia, using the medium level A1B climate change scenario.

This dataset presents the odds ratios of climate, socio-economic and tidal variables associated with Barmah Forest virus disease outbreaks in the entire coastal region in Queensland.