Sentence examples for predictor of prevalence from inspiring English sources

We find that in the epidemic area studied, central point sampling is a good predictor of prevalence in surrounding villages, but not in endemic areas.

Gillespie and Chapman (12 ) documented that the degree of disturbance of a fragment (measured as the density of tree stumps) was an accurate predictor of prevalence of infection of red colobus with parasitic nematodes.

Practices in CPRD are slightly larger than the UK average (this might not cause bias as list size was not a significant predictor of prevalence) but are representative in terms of patient level deprivation and ethnicity.

The predictors of prevalence and health-seeking pattern were analyzed through a multivariable logistic regression analysis.

Lower CD4+ T-cell counts of below 350 cells/μl, HIV infection, multiple sexual partnership, early age at first sexual contact, parity greater than three and long term OCP use were significant predictors of prevalence of ECA.

Temperature and rainfall were important predictors of prevalence of S. haematobium infection also in Tanzania [ 45] and such statistical relationships are consistent with the known biology of freshwater snails, the intermediate hosts for schistosomes.

It is worth noting that the most powerful predictor of low prevalence search accuracy was high prevalence search performance.

Finding that high prevalence search performance is a good predictor of low prevalence search performance would provide an efficient method for predicting who would be good at low prevalence search tasks.

However, if high prevalence search performance is a good predictor of low prevalence search performance, then one could gather data about an individual's performance very quickly at a high prevalence rate and use that as a predictor of the unobserved low prevalence performance.

High prevalence performance was a significant predictor of low prevalence target-absent reaction time, t = 7.16, p < 0.001, β = 0.51.

Among women aged 25 29 years (node 6) accounting for 3% of the study population with HIV prevalence of 27%, age remains the only significant and final predictor of HIV prevalence.