measures of epidemiology

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Epidemiology Frequency Measures

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Page 1: Measures of Epidemiology

Epidemiology Frequency Measures

Page 2: Measures of Epidemiology

Introduction

Page 3: Measures of Epidemiology

Introduction In epidemiology only 2 categories

(dichotomous variables) are used; e.g.: alive or dead, case or control, exposed or unexposed…etc

Applied dichotomous variables for epidemiology are “Ratios, proportions and rates”.

Page 4: Measures of Epidemiology

Formula Ratio, proportion, rate =X/Y*10n X&Y are 2 quantities that are being

compared The size of n equals 1, 10, 100,

1000… depending upon the value of n.

Page 5: Measures of Epidemiology

Ratios, Proportions, and Rates Compared

All are ratios In a ratio, the values of x and y may be completely

independent, or x may be included in y. For example, the sex of children attending an

immunization clinic could be compared in either of the following ways:

(1) Female/Males (2) Female/All In the first option, x (female) is completely

independent of y (male). In the second, x (female) is included in y (all). Both examples are ratios

Page 6: Measures of Epidemiology

A proportion“A particular type of ratio”

Is a ratio in which x is included in y The 1st example was a “ratio” (x is

not part of y) The 2nd example was a

“proportion” (x is part of y).

Page 7: Measures of Epidemiology

Rate Proportion, with an added dimension. Measures the occurrence of an event

in a population overtime. The basic formula for a rate:no of cases (events) occurring during a

given time period/population at risk during the same time period*10n

Page 8: Measures of Epidemiology

Aspects to notice in this formula The persons in the denominator

must reflect the population from which the cases in the numerator arose.

The counts in the numerator and denominator should cover the same time period.

persons in the denominator must be “at risk” for the event.

Page 9: Measures of Epidemiology

Example175 persons were affected by

specifichealth event. 25 of them were

females.Calculate female-to-male ratio and

thefemales proportion

Page 10: Measures of Epidemiology

•To calculate the ratio:Define x and YX is the females=25Y is the Males=150. Ratio=25/150=1/6Female:male ratio is 1:6

Page 11: Measures of Epidemiology

To calculate the proportion:Define X and YX is the Females=25Y is the total=175The proportion of affected Females=25/175=1/7=0.14

Page 12: Measures of Epidemiology

Rate Is a proportional ratio that measures

anevent in a population over time.

Page 13: Measures of Epidemiology

Uses of Ratios, Proportions, and Rates

To characterize populations by age, sex, race, exposures, and other variables.

describe three aspects of the human condition: morbidity (disease), mortality (death) and natality (birth).

Page 14: Measures of Epidemiology

Morbidity Frequency Measures

Incidence rate Attack rate Secondary attack rate. Point prevalence Period prevalence All of these can be further elaborated

into specific measures for age, race, sex, or some other characteristics.

Page 15: Measures of Epidemiology

Incidence rate “a new case of illness, occurs in a population over a period of time (measure of risk)”.

when one population has a higher incidence of disease than another, i.e.: the first population is at a higher risk of developing disease than the second, all other factors being equal “the first population is a high-risk group relative to the second population”.

Page 16: Measures of Epidemiology

Incidence rate New cases occurring during a

given time period/pop at risk during the same time*10n.

Page 17: Measures of Epidemiology

Notice!!!

the denominator is the population at riskThe period of time must be specified.

Page 18: Measures of Epidemiology

the most appropriate denominator will be one of thefollowing:

Average size of the population over the time period

Size of the population (either total or at risk) at the middle of the time period

Size of the population at the start of the time period

Page 19: Measures of Epidemiology
Page 20: Measures of Epidemiology

Prevalence

The proportion of persons in a population who have a particular disease or attribute at a specified point in time or over a specified period of time

Page 21: Measures of Epidemiology

Formula all new and pre - existing cases

during a given time period/population during the same time period*10n

Page 22: Measures of Epidemiology

Incidence rates the most common way of

measuring and comparing the frequency of disease in populations.

It adjust for differences in population sizes.

expresses the probability or risk of illness in a population over a period of time.

Page 23: Measures of Epidemiology

Point period prevalence

The amount of a disease in a population at a single point in time

Provides “snapshot” look at the population with regard to that disease.

The numerator is the number of persons with a particular disease or attribute on a particular date.

Page 24: Measures of Epidemiology

is not an incidence rate, because the numerator includes pre-existing cases

it is a proportion, because the persons in the numerator are also in the denominator.

Point period prevalence

Page 25: Measures of Epidemiology

Period prevalence.

To know how much of a particular disease is present in a population over a longer period

The Numerator: the number of persons who had a particular disease or attribute at any time during a particular interval (week, month, year, decade…etc)

Page 26: Measures of Epidemiology

Comparison of prevalence and incidence

Numerator of Incidence = new cases occurring during a given time period

Numerator of Prevalence = all cases present during a given time period (regardless of when the illness began)

Page 27: Measures of Epidemiology

Attack Rate

A variant of an incidence rate, applied to a narrowly defined population observed for a limited time, such as during an epidemic.

is a proportion—the persons in the numerator are also in the denominator

Measures the probability or risk of becoming a case

Page 28: Measures of Epidemiology

Formula Number of new cases among the

population during the period/Population at risk at the beginning of the period*100

Page 29: Measures of Epidemiology