Search results for "conditional predictive ordinate"

showing 2 items of 2 documents

Prospective surveillance of multivariate spatial disease data

2012

Surveillance systems are often focused on more than one disease within a predefined area. On those occasions when outbreaks of disease are likely to be correlated, the use of multivariate surveillance techniques integrating information from multiple diseases allows us to improve the sensitivity and timeliness of outbreak detection. In this article, we present an extension of the surveillance conditional predictive ordinate to monitor multivariate spatial disease data. The proposed surveillance technique, which is defined for each small area and time period as the conditional predictive distribution of those counts of disease higher than expected given the data observed up to the previous t…

Statistics and ProbabilityMultivariate statisticsMultivariate analysisEpidemiologyComputer scienceSouth CarolinaBayesian probabilityDiseasemultiple diseasesPoisson distributionArticleDisease Outbreaksshared component modelsymbols.namesakeHealth Information Managementconditional predictive ordinateStatisticsHumansProspective StudiesDisease surveillanceModels StatisticalDisease surveillanceIncidence (epidemiology)IncidenceOutbreakPopulation SurveillanceMultivariate Analysissymbols
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Conditional predictive inference for online surveillance of spatial disease incidence

2011

This paper deals with the development of statistical methodology for timely detection of incident disease clusters in space and time. The increasing availability of data on both the time and the location of events enables the construction of multivariate surveillance techniques, which may enhance the ability to detect localized clusters of disease relative to the surveillance of the overall count of disease cases across the entire study region. We introduce the surveillance conditional predictive ordinate as a general Bayesian model-based surveillance technique that allows us to detect small areas of increased disease incidence when spatial data are available. To address the problem of mult…

multiple comparisonsGeorgiaIncidenceSouth Carolinalagged loss functionBayes TheoremBayesian hierarchical modelspublic health surveillanceArticleconditional predictive ordinatePopulation Surveillancespatial dataSalmonella InfectionsCluster AnalysisHumansComputer SimulationPoisson Distribution
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