"prevalent concept" is correct and usable in written English.
You can use it to refer to an idea or idea that is widely accepted or generally believed in a particular context. For example, "The belief that there is a correlation between wealth and happiness is a prevalent concept in our society."
Within forward distribution, we first provide an overview of prevalent concepts existing in practice and develop a typology.
While the latter dimensions of these prevalent concepts of the self are explored more fully in other encyclopedia articles, these problems cannot be disentangled from the larger critique and efforts at reconceptualizing a self that do not duplicate the modernist Anglo-European structures of dominance.
We report a new taxonomy of more complex reasons for late antenatal booking than the prevalent concepts of denial, concealment and disadvantage.
Since Vittadini established Hymenogaster in 1831 [25], a variety of prevalent taxonomical concepts introduced large numbers of hardly identifiable taxa, often lacking information on diagnostic characters [26], [32], [68], [69], [16].
The prevalence pool concept proposed by Rothman is applied to prevalent screen-detected cases to estimate parameters dispensing with the exponential assumptions used in previous studies.
For instance, shared fleet models may become prevalent, rendering the concept of private car ownership obsolete for many.
Physicists were unique in their prevalent adoption of concept inventories, just-in-time teaching, interactive demonstrations, think-pair-share, and computer simulations.
These stelae are of extraordinary interest, for they contain a wealth of information on Late Formative religious concepts prevalent on the border of the Maya area.
The chapter also introduces several nucleus replacement design concepts prevalent in degenerative disc disease.
More recently, CNNs have been used for end-to-end discriminative text classification tasks involving the identification of high-level concepts prevalent throughout an entire document; however, most implementations are built on top of existing feature engineering and extraction methodologies.
