Spatio-temporal patterns of Barmah Forest virus disease in Queensland, Australia - PubMed (original) (raw)
Spatio-temporal patterns of Barmah Forest virus disease in Queensland, Australia
Suchithra Naish et al. PLoS One. 2011.
Abstract
Background: Barmah Forest virus (BFV) disease is a common and wide-spread mosquito-borne disease in Australia. This study investigated the spatio-temporal patterns of BFV disease in Queensland, Australia using geographical information system (GIS) tools and geostatistical analysis.
Methods/principal findings: We calculated the incidence rates and standardised incidence rates of BFV disease. Moran's I statistic was used to assess the spatial autocorrelation of BFV incidences. Spatial dynamics of BFV disease was examined using semi-variogram analysis. Interpolation techniques were applied to visualise and display the spatial distribution of BFV disease in statistical local areas (SLAs) throughout Queensland. Mapping of BFV disease by SLAs reveals the presence of substantial spatio-temporal variation over time. Statistically significant differences in BFV incidence rates were identified among age groups (χ(2) = 7587, df = 7327,p<0.01). There was a significant positive spatial autocorrelation of BFV incidence for all four periods, with the Moran's I statistic ranging from 0.1506 to 0.2901 (p<0.01). Semi-variogram analysis and smoothed maps created from interpolation techniques indicate that the pattern of spatial autocorrelation was not homogeneous across the state.
Conclusions/significance: This is the first study to examine spatial and temporal variation in the incidence rates of BFV disease across Queensland using GIS and geostatistics. The BFV transmission varied with age and gender, which may be due to exposure rates or behavioural risk factors. There are differences in the spatio-temporal patterns of BFV disease which may be related to local socio-ecological and environmental factors. These research findings may have implications in the BFV disease control and prevention programs in Queensland.
Conflict of interest statement
Competing Interests: The authors have declared that no competing interests exist.
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References
- Olano JP, Walker DH, Alan DTB, Lawrence RS. Vaccines for Biodefense and Emerging and Neglected Diseases. London: Academic Press; 2009. Agents of Emerging Infectious Diseases. pp. 1–20.
- Lafferty KD. The ecology of climate change and infectious diseases. Ecology. 2009;90:888–900. - PubMed
- Russell RC. Mosquito-borne disease and climate change in Australia: time for a reality check. Aust J Entomol 48: 2009;1 - 7
- Doherty RL. Arboviruses of Australia. Aust Vetô J. 1972;48:172–180. - PubMed
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