Sentence examples for realistic prevalence from inspiring English sources

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Pre- and post-MDA individual level infection data for hookworm, A. lumbricoides and T. trichiura were used to simulate age-specific and spatially realistic prevalence data for 6,653 schools in Western, Nyanza, and Coast provinces.

This study was conducted using a DSM IV criteria performed by means of face to face interviews undertaken by trained clinicians and therefore more likely to give us more realistic prevalence rates in the region.

The DAWBA interview has shown good ability to discriminate between children from community and clinical settings [ 27], and it has generated realistic prevalence estimates of mental disorders when used in public health services [ 32, 45].

Recalculating based on a more realistic prevalence of GCK-MODY representing 5% of the diabetes cases would halve the positive test rate to 12.5%, which would probably still be an acceptable pick-up rate given the changes in management and prognosis that result from rediagnosing type 1 or type 2 diabetes as a GCK mutation.

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Entries marked with '*' indicate that the parameter has been adjusted in the model calibration process in order to generate realistic prevalences for gonorrhoea and chlamydia.

The random mixing model, when assuming a gamma distributed rate of partner change, suggested decreases in male prevalence of at least 40%, but for realistic prevalences perhaps appreciably higher, with approximately a 60% reduction in prevalence among men and 30% among women.

With targeted optimistic and realistic scenarios, the prevalence of resistance was modestly reduced with considerable erosion (up to 70%) of infections prevented.

Both in Norway and Great Britain, the DAWBA generates realistic estimates of prevalence for psychiatric illnesses as well as high predictive validity when used in public health services [ 2, 23].

Using sensitivity analysis (Schlesselman, 1978) we developed realistic scenarios of prevalence and strength of these risk factors on screened and not screened groups, and explored the impact of residual confounding bias.

Although our recommendations are based on arbitrarily considering the specific percentiles of effectiveness, and although the absence of secondary transmissions depends also on the absolute number of incoming individuals, we believe that our findings (with realistic ranges of prevalence and the number of travellers) provide evidence-based estimates that can be used for pandemic planning.

We considered this latter figure to be a more realistic estimate of the prevalence of CD and, therefore, adopted this figure for our base case prevalence assumption; 23,037 patients were used as the upper limit of the range (Ipsen Biopharm Ltd ,unpublished data, October 2012).

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