Analysing post-alarm data in a monitoring system in order to accept or reject the alarm.
In a disease monitoring system embracing several diseases and communities, alarms indicating a significant increase in disease incidence will frequently occur even though the false alarm rate has been set quite low. An approach is presented by which an alarm is determined as either confirmed or rejected according to data observed subsequent to the alarm. The suggested procedure is expected to weed out a substantial proportion (say about 75 per cent) of the false alarms at the expense of some delay in detecting a true alarm.
Chen
R
R
Department of Applied Mathematics, Israel Institute for Biological Research, Ness-ziona.
Connelly
R R
RR
Mantel
N
N
D016000:Cluster Analysis; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D005189:False Positive Reactions; D006801:Humans; D007484:Iowa / Q000453:epidemiology; D007680:Kidney Neoplasms / Q000453:epidemiology; D011336:Probability