Background With the development and availability of geographic information systems (GIS), there has been an increasing trend in human and animal disease surveillance towards capturing both temporal and spatial data for health and disease outcomes.
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Comparison of covariate adjustment methods using space-time scan statistics for food animal syndromic surveillance.
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