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The difficulty in defining timeliness, when put in a judicial context, also explains why the Federal Court has little ground to stand on to merit punishing government departments that choose to delay.
This consensus indicates that a solid ground exists for defining timeliness of care between the different parties in the health care setting.
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It follows that the optimal way to define timeliness would be to base it on the generation interval, i.e. the time between infection of the index case and infection of its secondary case.
Removing preemption gives the ability to define the timeliness in our architecture and removes the need of storing states and variables of ongoing events and loading them back, which significantly reduces the memory usage and time needed for transitions.
As sensitivity was defined as the signalling of the algorithm at any point during the defined outbreak periods, timeliness was determined only for outbreaks that were detected, and defined as the number of days between the first nominated outbreak day, and the day of the first signal during the outbreak period.
The policy defines applicability of timeliness for the data source (Twitter).
The algorithms' performance was assessed using sensitivity, specificity and timeliness defined by Hutwagner et al. and Cowling and al [ 15, 17].
Hulton et al., in relation to facility-based maternal health services, suggest quality of care is defined by effectiveness, timeliness, as well as the upholding of basic reproductive rights [ 7, 11].
At Dow Theory Forecasts, timeliness is defined using three category scores from our Quadrix® stock-rating system: Historically, all three of these category scores have been helpful in picking year-ahead winners.
The mean timeliness was defined as the mean number of complete days that occurred between the beginning of an outbreak and the first day the outbreak was flagged.
Timeliness was defined as the delay between the date of onset of jaundice (reported by the patient) and the date of ELISA result.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com