The phrase "a prevalence at which" is correct and usable in written English.
It can be used to describe a specific level or rate of occurrence of something, often in a statistical or scientific context.
Example: "The study found a prevalence at which the disease affects the population significantly."
Alternatives: "a rate at which" or "a level at which".
We investigated how different criteria influence the frequency with which the "plateau phenomenon" is detected and the prevalence at which "false" plateau phenomena occurs during sub-maximal exercise.
Moreover, uncertainty exists about the threshold resistance prevalence at which indications should be withdrawn.
Rather, to question the prevalence at which routine screening of all pregnant women for HIV and, in particular, syphilis is no longer advisable and to describe the situation from a low prevalence, low resource setting.
The main reason to write this manuscript is not to explore risk factors but to question the prevalence at which syphilis testing is not viable for resource constrained settings.
With 10% HIV prevalence, the minimum prevalence at which WHO allows the use of sputum HIV testing [ 3], the corresponding proportions false-positive would be as high as 69%and75%5%, whereas they would still be 19%and25%5% at a very high prevalence of 50%.
In this study, autoimmune and allergic conditions were diagnosed at a prevalence of 3%%, which appears lower than what has been reported in developed countries.
Orofacial clefting (OFC) is a common developmental genetic disorder that occurs with a prevalence which has been estimated at between 1 in 500 and 1 in 2500 live births depending on geographic origin, racial and ethnic variation, and socio-economic status (1, 2).
The four parameters include the year the epidemic started, the force of infection which describes how quickly the prevalence trend will rise, the peak prevalence, and the rate at which prevalence declines over time.
The Centers for Disease Control and Prevention CDCC) received de-identified study data in aggregate, so multivariable regression techniques to adjust for co-factors beyond HIV prevalence at laboratories, which were related to pregnancy and false-positive HIV EIA test results, could not be performed.
In 2006, Uganda's Ministry of Health (MoH) estimated MC prevalence at 25%%, which was among the lowest in sub-Saharan Africa; however, the country's HIV prevalence at 6.5 % was among the highest in sub-Saharan Africa [ 13].
