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It is obviously important to know what kinds of illness and disease are prevalent in an area and how these prevalence rates vary with time.
The interpretation of these prevalence curves becomes clearer when we look at the frequency curves.
These prevalence rates are very low even if we consider these two as point prevalence.
Several authors believe that these prevalence values are underestimated because FMD is frequently asymptomatic [10, 11, 12].
These differences in number of non-victims account for differences in victimization concentration in these prevalence curves.
These disorders cause high disability at individual level (discussed further below); even after discounting to allow for likely overestimation, these prevalence estimates are indicative of very substantial population ill-health.
From these prevalence values for BMI, we then generated classification thresholds for FMI that gave the same prevalences as BMI in this population at age 25.
These prevalence estimates may be inflated, since we did not further stratify the subgroups by age and other determinants of CIN2+.
We hesitate to interpret these prevalence differences as meaningful, because different and imperfect instruments were used to query exercise in the seven countries.
These prevalence results are similar to those in Western countries.
These prevalence of allergy confirm those from previous studies.
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