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Spatial Scan Statistics for Models with Excess Zeros and Overdispersion
Content Type: Abstract
Spatial Scan Statistics [1] usually assume Poisson or Binomial distributed data, which is not adequate in many disease surveillance scenarios. For example, small areas distant from hospitals may exhibit a smaller number of cases than expected in… read more… data collection or the difficulty to access remote sites. Those factors generate excess zero case counts or … data collection or the difficulty to access remote sites. Those factors generate excess zero case counts or … -
Delineating Spatial Clusters with Artificial Neural Networks
Content Type: Abstract
Multiple or irregularly shaped spatial clusters are often found in disease or syndromic surveillance maps. We develop a novel method to delineate the contours of spatial clusters, especially when there is not a clearly dominating primary cluster,… read more… data set maps. BACKGROUND The solution of computationally hard problems with artificial neural networks normally …