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pubmed-article:17567912pubmed:abstractTextFor real time surveillance, detection of abnormal disease patterns is based on a difference between patterns observed, and those predicted by models of historical data. The usefulness of outbreak detection strategies depends on their specificity; the false alarm rate affects the interpretation of alarms.lld:pubmed
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pubmed-article:17567912pubmed:articleTitleAutomated real time constant-specificity surveillance for disease outbreaks.lld:pubmed
pubmed-article:17567912pubmed:affiliationDepartment of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA. shann@mit.edu <shann@mit.edu>lld:pubmed
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