Prevalence
From Wikipedia, the free encyclopedia
In epidemiology, the prevalence of a disease in a statistical population is defined as
- the total number of cases of the disease in the population at a given time
OR
- the total number of cases in the population, divided by the number of individuals in the population
For example, the prevalence of obesity among American adults in 2001 was estimated by the U. S. Centers for Disease Control (CDC) at approximately 20.9%. In plain English, "prevalence" simply means "proportion" (typically expressed as a percentage).
Prevalence is useful because it is a measure of the commonality of disease. It helps physicians with the probability of certain diagnoses and is routinely used by epidemiologists, health care providers, government agencies, and insurance companies.
Prevalence is distinct from incidence, which is a measure of the number of new cases. Prevalence involves all affected individuals, regardless of the date of contraction; whereas incidence only involves individuals who have newly contracted the disease during a specified time interval.
To illustrate, a disease with a long duration that was spread widely in a community in 2002 will have a high prevalence in 2003 (assuming it has a long duration) but it might have a low incidence rate in 2003. Conversely, a disease that is easily transmitted but has a short duration may have a low prevalence and a high incidence. Prevalence is a useful parameter when talking about long lasting infections, such as HIV, but incidence is more useful when talking about infections of short duration, such as chickenpox.
Lifetime prevalence (LTP) is a ratio of the number of individuals in a statistical population that at some point in their life experiences a "case" (e.g., a disorder) and the total number of individuals. Often, a 12-month prevalence is used in conjunction with lifetime prevalence.
