Sentence examples for outbreak sensitivity from inspiring English sources

For example, after the detection of the first case in an outbreak, sensitivity of detection of subsequent cases typically increases due to intensification of all aspects of surveillance.

When compared to results of an indirect immunofluorescent assay in a limited study comprising 32 case-patients with clinically diagnosed SARS and 977 control serum samples collected before the SARS outbreak, sensitivity and specificity were 100% and 99.8%, respectively.

The two time series (UrgIndex-hospitalisations and ICD10-consultations) can detect all outbreaks exhaustively (sensitivity of 100%).

Other cluster investigation thresholds had outbreak detection sensitivities of 53% 81% and positive predictive values of 23%28%% (Table 3).

For the 6 datasets that contained noise but no outbreaks, no sensitivity or time to detection exist to calculate.

Specifically, the definition of IGI visits exceeding an upper 95% confidence (among all ships reporting) for two consecutive weeks would likely result in missing shorter outbreaks (decreased sensitivity) which are probably more commonly attributable to other common bacterial causes and a point source mode of transmission.

Detection performance decreased with smaller simulated outbreaks, with sensitivity gradually decreasing to 99% for 25 visits-per-day, 94% for 20 visits-per-day, 78% for 15 visits-per-day, 57% for 10 visits-per-day, and 36% for 5 visits-per-day.

The reverse transcription polymerase chain reaction (RT-PCR) specifically detected FMD virus in sample submissions from the UK 2001 FMD outbreak with greater sensitivity than our conventional RT-PCR procedure and our routine diagnostic procedures of ELISA and virus isolation in cell culture.

The SOPS Outbreak case used during the WYD outbreak had a sensitivity of 66%.

However, the effectiveness of this strategy strongly depends on the definition of an outbreak and the sensitivity of detecting outbreaks.

Real time surveillance; outbreak; early warning; sensitivity Disease surveillance is based on methodologies to detect outbreaks as soon as possible, given an acceptable false alarm rate.