Sentence examples for prevalence projection from inspiring English sources

Exact(4)

Using PbB prevalence projection techniques based on the Second National Health and Nutrition Examination Survey (NHANES II), we first generated projected 1984 prevalences of these PbB levels in white and black women of childbearing age, ages 15 to 19 and 20 to 44. White women in the two age bands had rates of PbBs greater than 10 micrograms/dL of 9.2 and 9.7%, respectively.

The original HIV prevalence projection was 18.75% under the high scenario, and 10.1% under the low scenario (Table 1), for all adults over 15 years of age in the year 2000.

Parameter sets were included if the HIV prevalence projection fell within the 95% CI uncertainty range for the ANC estimate, obtained through the 2008 sentinel surveillance survey which collected HIV data from 300 women in Cross River.

Using blood lead (PbB) prevalence projection modeling and data of the Second National Health and Nutrition Examination Surgery (NHANES II), it is estimated for 1984 that 2.4 million black and white children 0.5 to 5 years old in metropolitan U.S. had PbB levels greater than 15 micrograms/dL.

Similar(56)

14 For cancer prevalence projections, we will first project numbers of new cases for a further 10 years using observed incidence data for 1979 2008 by fitting age-period-cohort (APC) models.

To present a predictive model of alcohol abuse among adolescents based on prevalence projections in various population subgroups.

The trend and growth rate in AF incidence and prevalence was projected by a dynamic age-period cohort simulation progression model that included all diagnosed AF cases in future prevalence projections regardless of follow-up treatment, as well as those cases expected to be chronic in nature.

As seen from this study's comparison of the adjusted 1992 HIV prevalence projections with the 2003 NAC official estimates (Figure 2), there is a divergence of the projected high scenario from the actual NAC official estimates around 1995.

In most cases, each projection scenario resulted in substantially different prevalence projections.

Finally, prevalence projections will be estimated from model-based incidence and survival estimates, implemented using PIAMOD (Prevalence, Incidence, Analysis MODel) software.

Moreover, the risk score's moderate sensitivity and specificity may cause the model to under- or potentially overestimate future prevalence projections.

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