# Prevalence and incidence relationship poems

TABLE Characteristics of Incidence and Prevalence New cases occurring during a period of time among a group initially free of 2 The Relationships. The Relationship of Ocular Factors to the Incidence and Progression of Participants in the study had a lower prevalence of cataract surgery than did. The diagnosis of POEMS syndrome is made with 3 of the major . of the high prevalence of diabetes mellitus and thyroid abnormalities, this .. Despite the relationship between disease response and dropping monoclonal gammopathy and skin changes syndrome: incidence, treatment and outcome.

Example Of 10, female residents in town A on 1st January1, have hypertension. The prevalence of hypertension among women in town A on this date is calculated as: Incidence In contrast to prevalence, incidence is a measure of the number of new cases of a disease or other health outcome of interest that develops in a population at risk during a specified time period.

There are two main measures of incidence: Risk or cumulative incidence Is related to the population at risk at the beginning of the study period Is related to a more precise measure of the population at risk during the study period and is measured in person-time units. Risk Risk is the proportion of individuals in a population initially free of disease who develop the disease within a specified time interval. Incidence risk is expressed as a percentage or if small as per persons.

The incidence risk assumes that the entire population at risk at the beginning of the study period has been followed for the specified time period for the development of the outcome under investigation.

However, in a cohort study participants may be lost during follow-up. For example, some participants may: Develop the outcome under investigation Refuse to continue to participate in the study Migrate Die Enter the study some time after it starts To account for these variations during follow up, a more precise measure can be calculated, the incidence rate.

Incidence Rate Incidence rates also measure the frequency of new cases of disease in a population. However, incidence rates take into account the sum of the time that each person remained under observation and at risk of developing the outcome under investigation.

Calculation of person-time at risk The denominator in an incidence rate is the sum of each individual's time at risk and is commonly expressed in person years at risk. The incidence rate is the rate of contracting the disease among those still at risk. When a study subject develops the disease, dies or leaves the study they are no longer at risk and will no longer contribute person-time units at risk. Person-time at risk Person-time at risk is a measure of the number of persons at risk during the given time-period.

In the graph below, different numbers of persons are at risk N-d during the time-period t. The total person-time at risk is represented by the area below the line Y. Persons who have developed the disease d are no longer considered at risk as they already have the disease. Person-time years at risk for 5 individuals in a hypothetical cohort study between In the above example the incidence rate for disease X is calculated as: Note that for most rare diseases, risks and rates are numerically similar because the number at risk will approximately equal the total population at all times.

## Measures of disease frequency and disease burden

Issues in defining the population at risk For any measure of disease frequency, precise definition of the denominator is essential for accuracy and clarity [1] The population at risk denominator should include all persons at risk of developing the outcome under investigation. Therefore, individuals who currently have the disease under study or who are immune e.

So, the prevalence of lung cancer was fairly low. In contrast, diabetes has a long average duration, since it can't be cured, but it can be controlled with medications, so the average duration of diabetes is long, and the prevalence is fairly high.

If the population is initially in a "steady state," meaning that prevalence is fairly constant and incidence and outflow [cure and death] are about equalthen the relationship among these three parameters can be described mathematically as: Duration is the average time that people have the disease from diagnosis until they are either cured or die. If the frequency of disease is rare i.

### Measures of disease frequency and disease burden | Health Knowledge

Similarly, if the incidence remained constant, then developing a cure would reduce the average duration of disease, and this would also reduce the prevalence of disease. In the late s anti-retroviral therapy was introduced and greatly improved the survival of people with HIV. However, they weren't cured of their disease, meaning that the average duration of disease increased. As a result, the prevalence of HIV increased during this period.

The relationship can be visualized by thinking of inflow and outflow from a reservoir.

The fullness of the reservoir can be thought of as analogous to prevalence. Raindrops might represent incidence or the rate at which new cases of a disease are being added to the population, thus becoming prevalent cases. Water also flows out of the reservoir, analogous to removal of prevalent cases by virtue of either dying or being cured of the disease.

Imagine that incidence rainfall and the rate of cure or death are initially equal; if so, the height of water in the reservoir will remain constant.

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If outflow from the reservoir rates of cure or death among prevalent cases remains constant and rainfall incidence of new disease increases, then the height of water in the reservoir will rise. Conversely, if incidence rainfall declines, then the water level will fall. If we start from steady state again, and the rate of rainfall remains constant, but the outflow rate of cure or rate of death increases, then the height of the water prevalence will fall.