Sentence examples for extreme prevalence from inspiring English sources

The phrase "extreme prevalence" is correct and usable in written English.
It can be used to describe a situation or condition that occurs very frequently or is widespread.
Example: "The extreme prevalence of obesity in certain regions has raised concerns among health officials."
Alternatives: "high prevalence" or "widespread occurrence."

Exact(8)

Emilio has unwittingly answered our question as to why the extreme prevalence of goats in the Guajira.

Some experts, for example, wonder whether its extreme prevalence in Ethiopia is a result of cultural factors, such as washing habits or diet.

To the other extreme, prevalence in Germany was just 4.82%.

One of the outstanding questions is what allows wBol1 to achieve its extreme prevalence.

Statistics from country after country show increasing prevalence of obesity, with extreme prevalence in some areas.

Third, the extreme prevalence seen on some islands (99% in Samoa) is incompatible with transmission rates below 99.5% [ 2].

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Similar(52)

The accuracy of this transformation has been questioned for extreme prevalences (Yang et al., 2011), so to test its appropriateness for our study, we simulate phenotypes with K = 0.005 and P = 1258/6387 (the values we use when analysing the phenotype all epilepsy).

The genetic SD for bTB susceptibility, estimated using the linear animal model, was lowest for the extreme bTB prevalence categories, with the genetic SD of very low (<0.25 prevalence) and very high (>0.75 prevalence) prevalence categories being approximately equal to half that of the low (0.25 to 0.5 prevalence) and high (0.5 to 0.75 prevalence) prevalence categories (Table  3).

These two extreme groups prevalence were quite different in terms of socio-demographic characteristics and risk factors.

Anselin Local Moran's I [ 46] allowed us to detect core clusters/outliers of districts with extreme HIV prevalence values unexplained by random variation, and to classify them into hotspots (high values next to high, HH), "coldspots" (low values next to low, LL) and spatial outliers (high amongst low, HL or vice versa, LH).

The Kappa coefficient corrects for chance agreement, but is sensitive to extremes in prevalence [ 13].

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