2014
DOI: 10.5194/isprsarchives-xl-8-197-2014
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Hot spot detection and spatio-temporal dynamics of dengue in Queensland, Australia

Abstract: Commission VI, WG VI/4KEY WORDS: Clusters, Dengue, Geographical information systems, Spatiotemporal, Spatial autocorrelation ABSTRACT:Dengue has been a major public health concern in Australia since it re-emerged in Queensland in 1992Queensland in -1993. This study explored spatio-temporal distribution and clustering of locally-acquired dengue cases in Queensland State, Australia and identified target areas for effective interventions. A computerised locally-acquired dengue case dataset was collected from Que… Show more

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Cited by 23 publications
(16 citation statements)
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“…As for the SaTScan approach where larger clusters were detected, the maximum likelihood ratio of cases was calculated with relation to the underlying population in the area to identify the cluster of LAOs considered as having elevated or lower rates [ 42 , 43 ]. Similar findings were recognized in previous studies [ 29 , 42 , 44 , 45 ].…”
Section: Resultssupporting
confidence: 93%
“…As for the SaTScan approach where larger clusters were detected, the maximum likelihood ratio of cases was calculated with relation to the underlying population in the area to identify the cluster of LAOs considered as having elevated or lower rates [ 42 , 43 ]. Similar findings were recognized in previous studies [ 29 , 42 , 44 , 45 ].…”
Section: Resultssupporting
confidence: 93%
“…The presence of statistically significant spatial hotspots/clusters of low birth weight) was tested by using spatial scan statistical analysis. It uses a scanning window that moves across the study area (26,27). Low birth weight newborns were taken as cases and those were not born being LBW were taken as controls to fit the Bernoulli model.…”
Section: Spatial Scan Statistical Analysismentioning
confidence: 99%
“…Thus, the presence of statistically signi cant spatial hotspots/clusters of low birth weight was tested by using spatial scan statistical analysis. This method uses a scanning window that moves across the study area (25,26). Low birth weight newborns were taken as cases and those were not born being LBW were taken as controls to t the Bernoulli model.…”
Section: Spatial Scan Statistical Analysismentioning
confidence: 99%