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Occurrence of Disease Morbidity Dr. Swe Mar Myint Lwin Assistant Lecturer Epidemiology Department University of Public Health

Occurrence of disease morbidity

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Page 1: Occurrence of disease morbidity

Occurrence of Disease Morbidity

Dr. Swe Mar Myint LwinAssistant Lecturer

Epidemiology DepartmentUniversity of Public Health

Page 2: Occurrence of disease morbidity

Morbidity

• Morbidity has been defined as “any departure ,subjective or

objective from a state of physiological well-being”.

• The term is used equivalent to such terms as sickness ,illness

,disability etc.

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Tools of Measurements

Basic tools of measurements in epidemiology are-

• Ratios

• Proportions

• Rates

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• Ratio is one number divided by another number

• Numerator is not a component of denominator

• For example-sex ratio, doctor-population ratio , child-women

ratio

X

YX KX:Y (or)

4

Ratios

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aa + b X 100

• Proportion is also one number divided by another, but the

entities represented by these numbers are related to one

another.

• The numerator is always a subset of the denominator.

• It has no dimension because the unit of the numerator cancels

out the unit of the denominator

• Proportion is usually expressed as a percentage.

E.g.

The no. of children with scabies at a certain time X 100 The total no. of children in the village at the same time 5

Proportions

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Rates

• A rate measures the occurrence of some particular event

(development of disease or occurrence of death) in a population

during a given time period.

• Eg: Number of death in one year

Death rate = X 1000

Mid- year population

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Categories of rates

• Crude rates- the actual observed rates such as the birth and

death rates. Crude rates are also known as unstandardized rates.

• Specific rates-These are the actual observed rates due to specific

causes (e.g ;TB) or occurring in specific groups (eg; age or sex

group), or during specific time periods (annual ,monthly ,weekly

rates)

• Standardized rates- These are obtained by direct or indirect

method of standardization or adjustment eg; age or sex

standardized rates.

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The concept of numerator and denominator

Numerator - a component of denominator in rate, but not in ratio.

Denominator - Related to total population

(i) Mid-year population

(ii) Population at risk

(iii) Person-times (eg; person-years,person-months )

(iv) Person-distance (passenger-miles)

(v) Subgroup of the population (age, gender, etc .)

- Related to total events

i.-in IMR; CFR

ii. Per 100 vehicles or per million vehicles-miles in case of

accidents.

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What are they—ratio, proportion, or rate?

• The number of people who ate tuna salad divided by the

number of people who did not eat tuna salad

• The number of sick people who ate tuna salad divided by

the number of people who ate tuna salad

• The number of people diagnosed with influenza on a cruise

ship divided by the number of person-weeks of follow-up of

people on the cruise ship9

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Population: A population is defined as a group of people with a

common characteristic such as place of residence, age, or the

occurrence of an event.

• There are two main types of populations, fixed and dynamic (or

open).

• The membership of a fixed population is defined by a life event and

is permanent, whereas the membership of a dynamic population is

defined by a changeable characteristic and is transient.

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Page 12: Occurrence of disease morbidity

• Three factors should always be considered when

measuring how commonly a disease occurs in a

population:

(1) the number of affected individuals or cases,

(2) the size of the population from which the cases

arise, and

(3) the amount of time that this population is

followed.

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-Same population size and time period should be used for the

compared groups.

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MEASURES OF MORBIDITY

1.Prevalence

a. Period Prevalence

b. Point Prevalence

2.Incidence

a. Cumulative Incidence (Risk)

b. Incidence density or Incidence Rate

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1.Prevalence

• Prevalence is defined as the number of affected persons present

in the population at a specific time divided by the number of

persons in the population at that time.

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Prevalence

Example

• Of 10,000 female residents in town A on 1st January 2006,

1,000 have hypertension.

• The prevalence of hypertension among women in town A on

this date is calculated as:

• 1,000/10,000 = 0.1 or 10%

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Page 18: Occurrence of disease morbidity

• For example, if we are interested in knowing the

prevalence of arthritis in a certain community on a

certain date, we might visit every household in that

community and, using interviews or physical

examinations, determine how many people have

arthritis on that day.

• This number becomes the numerator for prevalence.

• The denominator is the population in the community

on that date.

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A. Point prevalence

• Point prevalence refers to the proportion of the

population that is diseased at a single point of time.

Number of existing cases of disease At a point in time

Number in total population

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• Returning to point prevalence, practically speaking, it is

virtually impossible to survey an entire city on a single day.

• Therefore, although conceptually we are thinking in terms

of a single point in time, in reality, the survey would take

much longer.

• When we see the word prevalence used without any

modifier, it generally refers to point prevalence.

• Although you should always specify the point in time to

which point prevalence refers, prevalence is a proportion so

it is dimensionless (i.e., it has no units).

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B. Period prevalence

• Period prevalence refers to the proportion of the population

that is diseased during a specified duration of time (usually a

month , a year, or 5 year period).

Number of existing cases of disease During a period of time

Number in total population

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Page 23: Occurrence of disease morbidity
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• Prevalence = a photograph (instantaneous record)

• Incidence = a film (continuous record)

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2.Incidence

• The incidence rate of a disease is defined as the number

of new cases of a disease that occur during a specified

period of time in a population at risk for developing the

disease.

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Page 28: Occurrence of disease morbidity

• If we are calculating incidence of uterine cancer, the denominator

must include only women, because men would not have the

potential to become part of the group that is counted by the

numerator, that is, men are not at risk for developing uterine

cancer.

• Another important issue regarding the denominator is the issue of

time.

• Incidence measures can use two types of denominators: people at

risk who are observed throughout a defined time period or, when all

people are not observed for the full time period, person-time (or

units of time when each person is observed).

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People at Risk Who Are Observed throughouta Defined Time Period

• The choice of time period is arbitrary: (can calculate incidence

in 1 week, incidence in 1 month, incidence rate in 1 year,

incidence rate in 5 years, and so on).

• The important point is that whatever time period is used in

the calculation must be clearly specified, and all individuals

included in the calculation must have been observed (at risk)

for the entire period.

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Page 31: Occurrence of disease morbidity

A. Cumulative incidence or Risk

• The incidence calculated using a period of time during which all

of the individuals in the population are considered to be at risk

for the outcome is also called cumulative incidence, which is a

measure of risk.

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• It is important to note that the denominator is the total number of

people who were free of disease at the start of the time period.

• This is defined as the ‘population at risk’.

• Assume that the population at risk is followed over a specified time

period, and that all those who are included at the beginning of the time

period are counted at the end of the period.

• This is called a closed population or a cohort.

• For example, if a group of 100 people were studied for a year, and 25

had caught a cold at some point during the year, you would say that the

risk of catching a cold was 0.25 or 25% in that year in that group.

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When All People Are Not Observed for the Full Time period, Person-Time, or Units of Time When Each Person Is Observed

• When different individuals are observed for different

lengths of time, calculate an incidence rate (also called

an incidence density), in which the denominator consists

of the sum of the units of time that each individual was

at risk and was observed.

• This is called person-time and is often expressed in terms

of person-months or person-years of observation.

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Page 35: Occurrence of disease morbidity

• Let us consider person-years (py):

• One person at risk who is observed for one year = one

person-year.

• One person at risk observed for 5 years = 5 person-years

(py).

• But 5 people at risk, each of whom is observed for only 1

year, also = 5 person-years.

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• If people at risk are observed for different periods of time, the

incidence rate is:

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• Although it is most accurate to determine person-time on an

individual basis, as was done in this study, this method is very

time consuming and labor-intensive.

• In much larger studies, where it might be difficult to measure the

exact person-time for every individual in the study, the mid-

period population can be used as an estimate for the total

person-time at risk.

• In this situation, the average population at the mid-point of the

calendar period of interest is multiplied by the number of years

over which the study took place.

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• Figure: Hypothetical Disease Occurrence

• Point prevalence rate at t1 = 4 / 10

• Point prevalence rate at t2 = 3 / 10

• Incidence cases between t1 and t2 = (4, 6, 7, 8)

• Period prevalence = (Point prevalence t1 + Incidence cases) /10 =

(4 + 4)/10

• Cumulative Incidence Rate for 2004 = (4) / (10-4) = 4/6

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Relationship Between Prevalence and Incidence

• This equation assumes that the population is in steady state

(that is, inflow equals outflow) and that the incidence rate

and duration do not change over time.

P = I x Dwhere ,

• P is prevalence (the proportion of the total population with the disease)

• I is incidence rate

• D is the average duration (or length of time) that an individual has the disease.

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Comment?

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Special Incidence rates

• Attack rate or case rate

• Secondary attack rate

• Hospital admission rate

Attack Rate or case rate

Used only when limited exposure to a risk (during an epidemics)

Reflects the extent of the epidemic.

Attack Rate= No. of New cases of a specific d/s

during a specified time x100

Total population at risk

during the same interval

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Secondary attack rate

It is defined as the number of exposed persons developing the

disease within the range of the incubation period following

exposure to a primary case.

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Uses of prevalence

1. Helps to estimate the magnitude of health or disease problems

in the community

2. Helps to identify potential high risk population.

3. Useful projecting demands for medical services

4. Useful for administrative and planning purposes

e.g. Hospital beds, Manpower needs, Rehabilitation facilities etc.

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Uses of incidence rate

Incidence rate is useful for taking action

1) to control disease &

2) For research into

• Etiology and pathogenesis

• Distribution of diseases

• Effectiveness of preventive and therapeutic measures.

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REVIEW QUESTIONS FOR CHAPTER 3

Q. A prevalence survey conducted from January 1 through

December 31, 2012, identified 1,000 cases of schizophrenia in a

city of 2 million persons. The incidence rate of schizophrenia in

this population is 5/100,000 persons each year. What percent of

the 1,000 cases were newly diagnosed in 2012?

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• Q. Population of the city of Atlantis on March 30, 2012 =

183,000

• No. of new active cases of TB occurring between January 1 and

June 30, 2012 = 26

• No. of active TB cases according to the city register on June 30,

2012 = 264

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6. The incidence rate of active cases of TB for the 6-month period

was:

a. 7 per 100,000 population

b. 14 per 100,000 population

c. 26 per 100,000 population

d. 28 per 100,000 population

e. 130 per 100,000 population

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7. The prevalence rate of active TB as of June 30, 2012,

was:

a. 14 per 100,000 population

b. 130 per 100,000 population

c. 144 per 100,000 population

d. 264 per 100,000 population

e. None of the above

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