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PROFESSOR DR AB RAJAR 1
LEARNING OBJECTIVES
β€Ί At the end of this lecture, the students of the 4th
year MBBS will be able to understand:
– Introduction.
– Modern epidemiology
– Definitions and their components.
– Aims of epidemiology
– Uses of epidemiology
– Scope of epidemiology.
– Basic Measurements in Epidemiology
– Tools of measurements
PROFESSOR DR AB RAJAR 2
EPIDEMIOLOGY
PROFESSOR DR AB RAJAR 3
INTRODUCTION
β€Ί Epidemiology is the basic science of Preventive and
Social Medicine.
β€Ί Epidemiology is the scientific discipline of public
health to study diseases in the community to
acquire knowledge for the health care of society
including:
– Prevention
– Control
– Treatment
PROFESSOR DR AB RAJAR 4
INTRODUCTION
Epidemiological principles and methods are applied
in β€”
β€’ Clinical Research,
β€’ Disease prevention,
β€’ Health promotion,
β€’ Health protection and
β€’ Health services research.
The results of epidemiological studies are also used by
other scientists, including health economists, health
policy analysts, and health services managers.
PROFESSOR DR AB RAJAR 5
MODERN EPIDEMIOLOGY
Infectious disease Epidemiology.
Chronic Disease Epidemiology.
Clinical Epidemiology.
Genetic Epidemiology.
Occupational Epidemiology.
Cancer Epidemiology.
Neuro-Epidemiology.
PROFESSOR DR AB RAJAR 6
DEFINITION
β€Ί "The study of the distribution and determinants
of health-related states or events in specified
populations, and the application of this study to the
prevention and control of health problems ".
1 2 3
4 5
6
PROFESSOR DR AB RAJAR 7
COMPONENTS OF DEFINITION.
β€Ί Study:
β€Ί Systematic collection, analysis, and interpretation
of data.
β€Ί Including observation, hypothesis testing, analytical
research, and experiments.
1
PROFESSOR DR AB RAJAR 8
COMPONENTS OF DEFINITION.
β€Ί Distribution:
β€Ί Refer to the analysis of an event by person, place &
time Epidemiology studies the distribution of
diseases it answers the question:
 Who, where, and when?
 Who? Where? When.
2
PROFESSOR DR AB RAJAR 9
COMPONENTS OF DEFINITION.
Epidemiology is concerned with the frequency and pattern
of health events in a population.
β€Ί A-Frequency:
β€Ί refers not only to the number of cases but also to the
relationship between the number of cases and the size of
the population
β€Ί B-Pattern:
β€Ί Refers to the occurrence of health-related events by time,
place, and person.
2
PROFESSOR DR AB RAJAR 10
COMPONENTS OF DEFINITION.
β€Ί Time patterns may be:
– annual,
– seasonal,
– weekly,
– or daily.
β€Ί Place patterns include:
– geographic variation,
– urban/rural differences,
– and location of work sites or schools.
β€Ί Personal characteristics such as age, sex, marital
status, and socioeconomic status, as well as behaviors
and environmental exposures.
PROFESSOR DR AB RAJAR 11
COMPONENTS OF DEFINITION.
β€Ί Determinant:
β€Ί It is any factor that influences health as chemical, physical,
social, biological, economic, genetic, or behavioral.
β€Ί Epidemiology is also used to search for determinants, which
are the causes and other factors that influence the
occurrence of disease and other health-related events.
3
PROFESSOR DR AB RAJAR 12
COMPONENTS OF DEFINITION.
β€Ί To search for these determinants, epidemiologists
use analytic epidemiology or epidemiologic studies
to provide the "Why?" and "How?" of such events.
Why? How?
PROFESSOR DR AB RAJAR 13
COMPONENTS OF DEFINITION.
β€Ί Health-related state or event :
β€Ί It is defined as anything that affects the well-being
of a population.
β€Ί As: disease, cause of death, behaviors, etc.
4
PROFESSOR DR AB RAJAR 14
COMPONENTS OF DEFINITION.
β€Ί Specified populations :
β€Ί Although epidemiologists and direct healthcare providers
(clinicians) are both concerned with the occurrence and
control of disease, they differ greatly in how they view "the
patient."
 The clinician is concerned about the health of an individual.
 The epidemiologist is concerned about the collective health of the
people in a community or population.
5
PROFESSOR DR AB RAJAR 15
COMPONENTS OF DEFINITION.
β€Ί Application of this study to the control:
β€Ί Epidemiological studies have direct and practical
applications for the prevention of diseases &
promotion of health Epidemiology is a science and
practice Epidemiology is an applied science.
6
PROFESSOR DR AB RAJAR 16
BASIC CONCEPT
β€Ί Risk: The probability of having a bad outcome.
β€Ί Risk factors: A condition, physical characteristic,
or behavior that increases the probability that a
currently healthy individual will develop a particular
disease. "
PROFESSOR DR AB RAJAR 17
BASIC CONCEPT
Modifiable risk factors:
β€Ί A risk factor that can be reduced or controlled by
intervention, thereby reducing the probability of
disease.
– As : (Physical inactivity, Tobacco use, AIcohoI use,
Unhealthy diets).
Non-modifiable risk factors:
β€Ί A risk factor that cannot be reduced or controlled
by intervention, for example, Age, Gender, Race, or
Family history (genetics).
PROFESSOR DR AB RAJAR 18
ULTIMATE AIM OF EPIDEMIOLOGY
I. To eliminate or reduce the health problems of the
community.
II. To promote the health and well-being of society
as a whole.
PROFESSOR DR AB RAJAR 19
AIMS & OBJECTIVES OF EPIDEMIOLOGY
To describe the distribution and magnitude of health and
disease problems in the human population.
To identify etiological factors (risk factors) in the pathogenesis
of the disease.
To provide data essential to the planning, implementation, and
evaluation of services for the prevention, control, and
treatment of disease and setting priorities among those
services.
PROFESSOR DR AB RAJAR 20
SCOPE OF EPIDEMIOLOGY
Causation of the disease.
Natural history of the disease.
Health status of the population.
Evaluation of Interventions.
PROFESSOR DR AB RAJAR 21
CAUSATION OF THE DISEASE.
β€Ί Most diseases are caused by interaction between
genetic and environmental factors. (Diabetes)
β€Ί Personal behaviors affect this interplay.
β€Ί Epidemiology is used to study their influence and
the effects of preventive interventions through
health promotion.
PROFESSOR DR AB RAJAR 22
1-CAUSATION OF THE DISEASE.
PROFESSOR DR AB RAJAR 23
2-NATURAL HISTORY OF THE DISEASE
β€Ί Epidemiology is also concerned with the course and
outcome (natural history) of diseases in individuals
and groups.
PROFESSOR DR AB RAJAR 24
2-Natural History of the Disease
PROFESSOR DR AB RAJAR 25
3-HEALTH STATUS OF THE POPULATION
 Epidemiology is often used to describe the health
status of the population.
 Knowledge of the disease burden in populations is
essential for health authorities.
 To use limited resources to the best possible effect
by identifying priority health programs for
prevention and care.
PROFESSOR DR AB RAJAR 26
3- THE HEALTH STATUS OF THE POPULATION
PROFESSOR DR AB RAJAR 27
4. EVALUATION OF THE INTERVENTIONS
 To evaluate the effectiveness and efficiency of
health services.
 This means determining things such as β€”
 Impact of Contraceptive use on Population Control.
 The efficiency of sanitation measures to control diarrheal
diseases and
 The impact of reducing lead additives in petrol.
PROFESSOR DR AB RAJAR 28
4-EVALUATION OF INTERVENTIONS
PROFESSOR DR AB RAJAR 29
CLINICAL EPIDEMIOLOGY
β€Ί Applying epidemiological
principles and methods to
problems encountered in
the practice of medicine
has led to the
development of-
PROFESSOR DR AB RAJAR 30
APPLICATIONS OF EPIDEMIOLOGY IN PUBLIC
HEALTH
I. Preventing disease and promoting health.
II. Community health assessment (Community
Diagnosis) and priority setting.
III.Improving diagnosis. treatment and prognosis of
clinical diseases.
IV.Evaluating health interventions and programs.
PROFESSOR DR AB RAJAR 31
EPIDEMIOLOGY AND PUBLIC HEALTH
β€Ί Public health, refers to collective actions to improve
population health.
β€Ί Epidemiology, one of the tools for improving public
health, is used in several ways.
PROFESSOR DR AB RAJAR 32
EPIDEMIOLOGY & CLINICAL MEDICINE
β€Ί 1. In Clinical Medicine the unit of study is a 'case',
but in Epidemiology the unit of study is a 'defined
population ' or 'population at risk'.
β€Ί Physician is concerned with the disease in the
individual patient, whereas Epidemiologist is
concerned with the disease pattern in the entire
population.
β€Ί So, Epidemiology is concerned with both the Sick &
Healthy.
PROFESSOR DR AB RAJAR 33
EPIDEMIOLOGY & CLINICAL MEDICINE
β€Ί 2 In Clinical Medicine, the physician seeks to
diagnose for which he derives a prognosis and
prescribes specific treatment.
β€Ί The Epidemiologist is confronted with the relevant
data derived from the particular epidemiological
study. (Community Diagnosis)
β€Ί He seeks to identify the source of infection, mode
of transmission, and an etiological factor to
determine future trends, prevention and control
measures.
PROFESSOR DR AB RAJAR 34
EPIDEMIOLOGY & CLINICAL MEDICINE
β€Ί 3. In Clinical Medicine patient comes to the Doctor.
β€Ί Epidemiologist, goes to the community to find out
the disease pattern and suspected causal factors in
the question.
PROFESSOR DR AB RAJAR 35
EPIDEMIOLOGICAL APPROACH.
l. Asking
questions.
2. Making
Comparisons.
PROFESSOR DR AB RAJAR 36
1. ASKING QUESTIONS
RELATED TO HEALTH
EVENTS
β€Ί What is the event? (Problem)
β€Ί What is magnitude?
β€Ί Where did happen?
β€Ί When did happen?
β€Ί Who is affected?
β€Ί Why did it happen?
RELATED TO HEALTH
ACTION
β€Ί What can be done to reduce
the problem?
β€Ί How can be prevented in the
future?
β€Ί What action should be taken
by the community?
β€Ί What resources are required?
β€Ί How are activities to be
organized?
β€Ί What difficulties may arise?
Epidemiology is "a means of learning by asking questions and
getting answers that lead to further questions."
PROFESSOR DR AB RAJAR
37
These questions can be referred to as:
Case definition [what]
Person [who]
Place [where]
Time [when]
Causes [why]
PROFESSOR DR AB RAJAR 38
2. MAKING COMPARISONS
β€Ί To find out the differences in the AGENT, HOST, and
ENVIRONMENT conditions between the two groups.
β€Ί Weighs. balances and contrasts give clues to
ETIOLOGICAL HYPOTHESIS.
PROFESSOR DR AB RAJAR 39
Basic Measurements in
Epidemiology
PROFESSOR DR AB RAJAR 40
DEFINING HEALTH AND DISEASE.
β€Ί Definition
β€’ β€œHealth is a state of complete physical, mental,
and social well-being and not merely the absence
of disease or infirmity "
(WHO in 1948)
PROFESSOR DR AB RAJAR 41
DEFINING HEALTH AND DISEASE.
β€Ί This definition β€” criticized because of the difficulty
in defining and measuring well-being β€” remains an
ideal.
β€Ί The World Health Assembly resolved in 1977
that all people should attain:
β€’ level of health permitting them to lead socially and
economically productive lives by the year 2000.
(Health for All by 2000)
PROFESSOR DR AB RAJAR 42
DEFINING HEALTH AND DISEASE.
β€Ί Practical definitions of health and disease are
needed in epidemiology, which concentrates on
aspects of health that are easily measurable and
amenable to improvement.
β€Ί Definitions of health states used by epidemiologists
tend to be simple, for example,
– "disease present" or "disease absent'
PROFESSOR DR AB RAJAR 43
DEFINING HEALTH AND DISEASE.
β€Ί There is often no clear distinction between normal
and abnormal.
β€Ί Especially, for normally distributed continuous
variables that may be associated with several
diseases. β€’
 Examples:
 Cut of point for Blood Pressure- HTN.
 Cut of point of Hemoglobin- Anemia.
 Normal Range of Blood Cholesterol.
PROFESSOR DR AB RAJAR 44
Serum Cholesterol (mg%) Frequency
125-135 5
135-145 22
145-155 25
155-165 130
165-175 140
175-185 260
185-195 274
195-200 282
200-210 268
210-220 270
220-230 135
230-245 135
245-255 24
255-265 24
265-275 8
Total 2000
PROFESSOR DR AB RAJAR 45
MEASURING DISEASE FREQUENCY
PROFESSOR DR AB RAJAR 46
INCIDENCE AND PREVALENCE
 These are fundamentally different ways of
measuring disease frequency.
 The incidence of disease represents the rate of
occurrence of new cases arising in a given period
in a specified population,
while
 Prevalence is the number of existing cases
(old+ new) in a defined population at a given point
in time.
PROFESSOR DR AB RAJAR 47
INCIDENCE
β€Ί "Number of new cases occurring in a defined
population during the specified period of
time"
 Incidence = Number of new cases during a given period
/ Population at risk x 1000.
PROFESSOR DR AB RAJAR 48
SPECIAL INCIDENCES
β€’Rate at which acute
disease is
spreading.
Attack Rate
β€’ % of exposed persons
developing disease after
primary case exposure.
Secondary
Attack Rate
PROFESSOR DR AB RAJAR 49
PREVALENCE
β€Ί Prevalence is the total no of existing cases ( old
+ new) in a defined population at a particular point
in time or specified period.
 Prevalence = Total no of cases at a given point in time
/ Estimated population at time x 100
PROFESSOR DR AB RAJAR 50
RELATION BETWEEN INCIDENCE & PREVALENCE
β€Ί Prevalence = Incidence x Mean duration of d/se.
β€’ P= I x D
β€Ί Exampleβ€” If
β€’ I=10 cases per 1000 per year.
β€’ D = 5 years.
– P= 10 ᕁ 5
οƒ˜50 cases per 1000 population
PROFESSOR DR AB RAJAR 51
TYPES OF PREVALENCE
1. Point Prevalence:
β€’Prevalence for a given point of time.
2. Period Prevalence:
β€’Prevalence for a specified period.
PROFESSOR DR AB RAJAR 52
RELATION BETWEEN INCIDENCE & PREVALENCE
PROFESSOR DR AB RAJAR 53
RELATION BETWEEN INCIDENCE & PREVALENCE
PROFESSOR DR AB RAJAR 54
RELATION BETWEEN INCIDENCE & PREVALENCE
PROFESSOR DR AB RAJAR 55
Activity
PROFESSOR DR AB RAJAR 56
Cases of cold infections in class 4th : Class
size = 20
January February March
β€Ί What is the period prevalence during February?
β€Ί What is the point prevalence on the 28th of February?
β€Ί What is the incidence in February?
PROFESSOR DR AB RAJAR 57
SOLUTION
What is the period prevalence during February?
– 6/20=30.00%
What is the point prevalence on the 28th of
February?
– 1/20=5.0%
What is the incidence in February?
– 4/18=22.20%
PROFESSOR DR AB RAJAR 58
FACTORS INFLUENCING THE PREVALENCE
INCREASED BY
β€’ Longer duration of the disease
β€’ Prolongation of life of patients without
cure
β€’ Increase in new cases (increase in
incidence)
β€’ In-migration of cases
β€’ Out-migration of healthy people.
β€’ In-migration of susceptible people
β€’ Improved diagnostic facilities
β€’ (better reporting)
DECREASED BY
β€’ Shorter duration of the disease
β€’ High case-fatality rate from the disease
β€’ Decrease in new cases (decrease in
incidence)
β€’ In-migration of healthy people
β€’ Out-migration of cases
β€’ Improved cure rate of cases
PROFESSOR DR AB RAJAR 59
PROFESSOR DR AB RAJAR 60
SCOPE OF MEASUREMENTS
IN EPIDEMIOLOGY
PROFESSOR DR AB RAJAR 61
MEASUREMENTS IN EPIDEMIOLOGY
i. Measurement of mortality.
ii. Measurement of morbidity.
iii. Measurement of disability.
iv. Measurement of natality.
v. Measurement of presence or absence of attributes.
vi. Measurement of health care need.
vii. Measurement of environmental & other risk factors.
viii.Measurement of demographic variables.
PROFESSOR DR AB RAJAR 62
TOOLS OF
MEASUREMENTS
PROFESSOR DR AB RAJAR 63
TOOLS OF MEASUREMENTS
Rate
Ratio
Proportion
β€Ί Basic tools are -
β€Ί Used for expression of disease magnitude
PROFESSOR DR AB RAJAR 64
RATE…..
β€Ί RATE:
β€Ί A rate measures the occurrence of some particular
event in a population during a given time period.
–A rate comprises of following four elements:
β€Ί Numerator.
β€Ί Denominator.
β€Ί Time specification.
β€Ί Multiplier, (E.g. death rate).
PROFESSOR DR AB RAJAR 65
NUMERATOR
β€Ί Numerator refers to the number of times an event (
e.g. sickness, birth, episodes of sickness) has occurred
in a population, during a specific time period.
β€Ί Note: Numerator is a component of the denominator in
calculating a rate, but not in a ratio.
PROFESSOR DR AB RAJAR 66
DENOMINATOR
β€Ί Numerator has little meaning unless it is related to the
denominator; therefore epidemiologists has to choose
an appropriate denominator while calculating a rate.
β€Ί It may be:
– Related to the population or
– Related to the total events.
PROFESSOR DR AB RAJAR 67
DENOMINATOR
β€Ί Related to the population:
– Mid-year population
– Population at risk
– Person-time
– Person – distance
– Sub-groups of the population
β€Ί Related to the total events:
– Eg : number of accidents per 1000 vehicle owners
PROFESSOR DR AB RAJAR 68
POPULATION AT RISK:
β€Ί Population at risk:
β€Ί Portion of a population that is susceptible to a
disease
β€Ί Can be defined on the basis of demographic or
environmental factors Prevalence.
β€Ί Population at risk: Examples:
– Population at risk of developing carcinoma of the cervix: Female
population Age > 30 and < 70 years.
– Population at risk of hepatitis B Those individuals anti-HBc negative
Prevalence
PROFESSOR DR AB RAJAR 69
TYPES OF RATE….
 DEATH RATE:
–Death Rate =
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑖𝑛 π‘œπ‘›π‘’ π‘¦π‘’π‘Žπ‘Ÿ
𝑀𝑖𝑑 π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘›
x 1000.
–Various categories of rate are:
a. Crude Death Rate.
b. Specific death rate.
c. Adjusted or standardized Rates.
PROFESSOR DR AB RAJAR 70
CRUDE DEATH RATE:
– CRUDE DEATH RATE:
β€Ί These are actual observed rates such as the birth rate
& death rates.
β€Ί The denominator is whole population.
β€Ί Known as Unstandardized rate ( E.g. Crude Birth Rate).
– CBR=
π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘œ π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Ž π‘Žπ‘‘ π‘Ž π‘π‘™π‘Žπ‘π‘’ 𝑖𝑛 π‘Ž π‘¦π‘’π‘Žπ‘Ÿ
π‘‡π‘œπ‘‘π‘Žπ‘™ 𝑀𝑖𝑑 π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘› π‘œπ‘“ π‘‘β„Žπ‘’ π‘ π‘Žπ‘šπ‘’ π‘π‘™π‘Žπ‘π‘’ π‘¦π‘’π‘Žπ‘Ÿ
x 1000.
β€Ί Note: Population of 1st January is less & at 30th
more, so we take mid-year ( 1st July) population.
PROFESSOR DR AB RAJAR 71
SPECIFIC RATES:
β€Ί These are specific rated due to:
–Specific causes (e.g. Tuberculosis) or
–Occurring in specific groups (age or sex groups )
or
–During specific time period (e.g. annual, monthly
or weekly rates).
β€Ί So, in this denominator is a specific segment of
population e.g., some specific rates are:
–IMR
–MMR
–Neonatal Mortality rate.
PROFESSOR DR AB RAJAR 72
CASE FATALITY RATE
β€Ί Percentage of particular cases dying during a
particular disease epidemic.
β€Ί Killing power of disease, particularly acute diseases.
–CFR=
π‘π‘œ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Ž 𝑑𝑒𝑒 π‘‘π‘œ π‘β„Žπ‘œπ‘™π‘’π‘Ÿπ‘Ž
π‘‡π‘œπ‘‘π‘Žπ‘™ π‘π‘œ π‘œπ‘“ π‘β„Žπ‘œπ‘™π‘’π‘Ÿπ‘Ž π‘π‘Žπ‘ π‘’π‘ 
ᕁ100
PROFESSOR DR AB RAJAR 73
PROPORTIONAL MORTALITY RATE
β€Ί Proportion of % of death due to particular cause
out of total deaths.
– It measures the disease burden.
Under-5,Proportional mortality=
π‘π‘œ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Ž π‘π‘’π‘™π‘œπ‘€ 5 π‘¦π‘’π‘Žπ‘Ÿπ‘ 
π‘‡π‘œπ‘‘π‘Žπ‘™ π‘π‘œ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
ᕁ100
PROFESSOR DR AB RAJAR 74
SURVIVAL RATE
β€Ί Percentage of the treated
patients remaining alive at the
end of 5 years of treatment.
β€Ί Yard stick for assessing the
standing of therapy in
cancer.
– Survival Rate=
𝑝𝑑𝑠 π‘Žπ‘™π‘–π‘£π‘’ π‘Žπ‘‘ π‘‘β„Žπ‘’ 𝑒𝑛𝑑 π‘œπ‘“ 5 π‘¦π‘Ÿπ‘ 
π‘‡π‘œπ‘‘π‘Žπ‘™ π‘π‘œ π‘œπ‘“ 𝑝𝑑𝑠 π‘‘π‘Ÿπ‘’π‘Žπ‘‘π‘’π‘‘
ᕁ100
PROFESSOR DR AB RAJAR 75
ADJUSTED OR STANDARDIZED RATES
β€Ί These are obtained by the
direct and indirect method
of standardization or
adjustment – age & sex
standardized rates.
PROFESSOR DR AB RAJAR 76
COUNT:
β€Ί Count No. of new AIDS cases:
–City A 58
–City B 35
PROFESSOR DR AB RAJAR 77
DIVIDE
No. of new AIDS cases
No. Year Population
City A 58 2004 25,000
City B 35 2004-2005 7,000
β€’ City A: 58/25,000/ 1 year
β€’ City B: 35/7000/ 2 years Divide
PROFESSOR DR AB RAJAR 78
RATIO
β€Ί It expresses a relation in size between two random
quantities.
β€Ί Ratio is the result of dividing one quantity by
another.
β€Ί It is expressed in the form of x/y or x:y.
β€Ί In ratio, the numerator is not a component of the
denominator.
PROFESSOR DR AB RAJAR 79
RATIO Cont….
β€Ί The ratio of white blood cells relative to red blood
cells is 1;600, meaning that for each WBC there are
600 RBSs.
–Others as:
–Sex-ratio i.e. male to female ratio.
–Doctor-population ratio.
–Child-women ratio.
PROFESSOR DR AB RAJAR 80
RATIO.
β€Ί In a class that has 20 male students and 80 female
students.
β€Ί We can think about this in several ways.
β€Ί The ratio of boys to girls as 20:80 or 20/80.
β€Ί Aa 1:4 ratio (or 1/4 ratio). [This indicates that for every
boys, there are four girls].
β€Ί From the inverse perspective, i.e., the number of girls
relative to the number of boys; in this case the ratio of girls
to boys is 80/20 which is equivalent to 4 to 1, i.e., there are
four girls for every boys.
PROFESSOR DR AB RAJAR 81
PROPORTION
β€Ί A proportion is a ratio, which indicates the relation
in the magnitude of a part of the whole.
β€’ The numerator is always included in the denominator.
β€’ A proportion is usually expressed as a percentage (%)
e.g.:
P=
π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘œ π‘œπ‘“ 𝑆𝑐𝑏𝑖𝑒𝑠 π‘Žπ‘‘ π‘Ž π‘π‘’π‘Ÿπ‘‘π‘–π‘Žπ‘› π‘‘π‘–π‘šπ‘’
π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘β„Žπ‘–π‘™π‘‘π‘Ÿπ‘’π‘› 𝑖𝑛 π‘‘β„Žπ‘Žπ‘‘ π‘Žπ‘Ÿπ‘’π‘Ž π‘Žπ‘‘ π‘‘β„Žπ‘’ π‘ π‘Žπ‘šπ‘’ π‘‘π‘–π‘šπ‘’.
x 100.
PROFESSOR DR AB RAJAR 82
PROPORTIONS
β€Ί The mortality from bird flu was 44 from total number of
infected 123 persons in last year in China.
β€Ί In total, 123 people were infected, and 44 of these died.
β€Ί Therefore, the proportion who died was 44/123, which could
be expressed as a decimal fraction (0.36) or as a
percentage (36%).
β€Ί This proportion is referred to as the "case-fatality" rate,
although strictly speaking, it is a proportion and not a rate.
PROFESSOR DR AB RAJAR 83
PROFESSOR DR AB RAJAR 84

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BASIC PRINCIPLES OF EPIDEMIOLOGY.pptx

  • 1. PROFESSOR DR AB RAJAR 1
  • 2. LEARNING OBJECTIVES β€Ί At the end of this lecture, the students of the 4th year MBBS will be able to understand: – Introduction. – Modern epidemiology – Definitions and their components. – Aims of epidemiology – Uses of epidemiology – Scope of epidemiology. – Basic Measurements in Epidemiology – Tools of measurements PROFESSOR DR AB RAJAR 2
  • 4. INTRODUCTION β€Ί Epidemiology is the basic science of Preventive and Social Medicine. β€Ί Epidemiology is the scientific discipline of public health to study diseases in the community to acquire knowledge for the health care of society including: – Prevention – Control – Treatment PROFESSOR DR AB RAJAR 4
  • 5. INTRODUCTION Epidemiological principles and methods are applied in β€” β€’ Clinical Research, β€’ Disease prevention, β€’ Health promotion, β€’ Health protection and β€’ Health services research. The results of epidemiological studies are also used by other scientists, including health economists, health policy analysts, and health services managers. PROFESSOR DR AB RAJAR 5
  • 6. MODERN EPIDEMIOLOGY Infectious disease Epidemiology. Chronic Disease Epidemiology. Clinical Epidemiology. Genetic Epidemiology. Occupational Epidemiology. Cancer Epidemiology. Neuro-Epidemiology. PROFESSOR DR AB RAJAR 6
  • 7. DEFINITION β€Ί "The study of the distribution and determinants of health-related states or events in specified populations, and the application of this study to the prevention and control of health problems ". 1 2 3 4 5 6 PROFESSOR DR AB RAJAR 7
  • 8. COMPONENTS OF DEFINITION. β€Ί Study: β€Ί Systematic collection, analysis, and interpretation of data. β€Ί Including observation, hypothesis testing, analytical research, and experiments. 1 PROFESSOR DR AB RAJAR 8
  • 9. COMPONENTS OF DEFINITION. β€Ί Distribution: β€Ί Refer to the analysis of an event by person, place & time Epidemiology studies the distribution of diseases it answers the question:  Who, where, and when?  Who? Where? When. 2 PROFESSOR DR AB RAJAR 9
  • 10. COMPONENTS OF DEFINITION. Epidemiology is concerned with the frequency and pattern of health events in a population. β€Ί A-Frequency: β€Ί refers not only to the number of cases but also to the relationship between the number of cases and the size of the population β€Ί B-Pattern: β€Ί Refers to the occurrence of health-related events by time, place, and person. 2 PROFESSOR DR AB RAJAR 10
  • 11. COMPONENTS OF DEFINITION. β€Ί Time patterns may be: – annual, – seasonal, – weekly, – or daily. β€Ί Place patterns include: – geographic variation, – urban/rural differences, – and location of work sites or schools. β€Ί Personal characteristics such as age, sex, marital status, and socioeconomic status, as well as behaviors and environmental exposures. PROFESSOR DR AB RAJAR 11
  • 12. COMPONENTS OF DEFINITION. β€Ί Determinant: β€Ί It is any factor that influences health as chemical, physical, social, biological, economic, genetic, or behavioral. β€Ί Epidemiology is also used to search for determinants, which are the causes and other factors that influence the occurrence of disease and other health-related events. 3 PROFESSOR DR AB RAJAR 12
  • 13. COMPONENTS OF DEFINITION. β€Ί To search for these determinants, epidemiologists use analytic epidemiology or epidemiologic studies to provide the "Why?" and "How?" of such events. Why? How? PROFESSOR DR AB RAJAR 13
  • 14. COMPONENTS OF DEFINITION. β€Ί Health-related state or event : β€Ί It is defined as anything that affects the well-being of a population. β€Ί As: disease, cause of death, behaviors, etc. 4 PROFESSOR DR AB RAJAR 14
  • 15. COMPONENTS OF DEFINITION. β€Ί Specified populations : β€Ί Although epidemiologists and direct healthcare providers (clinicians) are both concerned with the occurrence and control of disease, they differ greatly in how they view "the patient."  The clinician is concerned about the health of an individual.  The epidemiologist is concerned about the collective health of the people in a community or population. 5 PROFESSOR DR AB RAJAR 15
  • 16. COMPONENTS OF DEFINITION. β€Ί Application of this study to the control: β€Ί Epidemiological studies have direct and practical applications for the prevention of diseases & promotion of health Epidemiology is a science and practice Epidemiology is an applied science. 6 PROFESSOR DR AB RAJAR 16
  • 17. BASIC CONCEPT β€Ί Risk: The probability of having a bad outcome. β€Ί Risk factors: A condition, physical characteristic, or behavior that increases the probability that a currently healthy individual will develop a particular disease. " PROFESSOR DR AB RAJAR 17
  • 18. BASIC CONCEPT Modifiable risk factors: β€Ί A risk factor that can be reduced or controlled by intervention, thereby reducing the probability of disease. – As : (Physical inactivity, Tobacco use, AIcohoI use, Unhealthy diets). Non-modifiable risk factors: β€Ί A risk factor that cannot be reduced or controlled by intervention, for example, Age, Gender, Race, or Family history (genetics). PROFESSOR DR AB RAJAR 18
  • 19. ULTIMATE AIM OF EPIDEMIOLOGY I. To eliminate or reduce the health problems of the community. II. To promote the health and well-being of society as a whole. PROFESSOR DR AB RAJAR 19
  • 20. AIMS & OBJECTIVES OF EPIDEMIOLOGY To describe the distribution and magnitude of health and disease problems in the human population. To identify etiological factors (risk factors) in the pathogenesis of the disease. To provide data essential to the planning, implementation, and evaluation of services for the prevention, control, and treatment of disease and setting priorities among those services. PROFESSOR DR AB RAJAR 20
  • 21. SCOPE OF EPIDEMIOLOGY Causation of the disease. Natural history of the disease. Health status of the population. Evaluation of Interventions. PROFESSOR DR AB RAJAR 21
  • 22. CAUSATION OF THE DISEASE. β€Ί Most diseases are caused by interaction between genetic and environmental factors. (Diabetes) β€Ί Personal behaviors affect this interplay. β€Ί Epidemiology is used to study their influence and the effects of preventive interventions through health promotion. PROFESSOR DR AB RAJAR 22
  • 23. 1-CAUSATION OF THE DISEASE. PROFESSOR DR AB RAJAR 23
  • 24. 2-NATURAL HISTORY OF THE DISEASE β€Ί Epidemiology is also concerned with the course and outcome (natural history) of diseases in individuals and groups. PROFESSOR DR AB RAJAR 24
  • 25. 2-Natural History of the Disease PROFESSOR DR AB RAJAR 25
  • 26. 3-HEALTH STATUS OF THE POPULATION  Epidemiology is often used to describe the health status of the population.  Knowledge of the disease burden in populations is essential for health authorities.  To use limited resources to the best possible effect by identifying priority health programs for prevention and care. PROFESSOR DR AB RAJAR 26
  • 27. 3- THE HEALTH STATUS OF THE POPULATION PROFESSOR DR AB RAJAR 27
  • 28. 4. EVALUATION OF THE INTERVENTIONS  To evaluate the effectiveness and efficiency of health services.  This means determining things such as β€”  Impact of Contraceptive use on Population Control.  The efficiency of sanitation measures to control diarrheal diseases and  The impact of reducing lead additives in petrol. PROFESSOR DR AB RAJAR 28
  • 30. CLINICAL EPIDEMIOLOGY β€Ί Applying epidemiological principles and methods to problems encountered in the practice of medicine has led to the development of- PROFESSOR DR AB RAJAR 30
  • 31. APPLICATIONS OF EPIDEMIOLOGY IN PUBLIC HEALTH I. Preventing disease and promoting health. II. Community health assessment (Community Diagnosis) and priority setting. III.Improving diagnosis. treatment and prognosis of clinical diseases. IV.Evaluating health interventions and programs. PROFESSOR DR AB RAJAR 31
  • 32. EPIDEMIOLOGY AND PUBLIC HEALTH β€Ί Public health, refers to collective actions to improve population health. β€Ί Epidemiology, one of the tools for improving public health, is used in several ways. PROFESSOR DR AB RAJAR 32
  • 33. EPIDEMIOLOGY & CLINICAL MEDICINE β€Ί 1. In Clinical Medicine the unit of study is a 'case', but in Epidemiology the unit of study is a 'defined population ' or 'population at risk'. β€Ί Physician is concerned with the disease in the individual patient, whereas Epidemiologist is concerned with the disease pattern in the entire population. β€Ί So, Epidemiology is concerned with both the Sick & Healthy. PROFESSOR DR AB RAJAR 33
  • 34. EPIDEMIOLOGY & CLINICAL MEDICINE β€Ί 2 In Clinical Medicine, the physician seeks to diagnose for which he derives a prognosis and prescribes specific treatment. β€Ί The Epidemiologist is confronted with the relevant data derived from the particular epidemiological study. (Community Diagnosis) β€Ί He seeks to identify the source of infection, mode of transmission, and an etiological factor to determine future trends, prevention and control measures. PROFESSOR DR AB RAJAR 34
  • 35. EPIDEMIOLOGY & CLINICAL MEDICINE β€Ί 3. In Clinical Medicine patient comes to the Doctor. β€Ί Epidemiologist, goes to the community to find out the disease pattern and suspected causal factors in the question. PROFESSOR DR AB RAJAR 35
  • 36. EPIDEMIOLOGICAL APPROACH. l. Asking questions. 2. Making Comparisons. PROFESSOR DR AB RAJAR 36
  • 37. 1. ASKING QUESTIONS RELATED TO HEALTH EVENTS β€Ί What is the event? (Problem) β€Ί What is magnitude? β€Ί Where did happen? β€Ί When did happen? β€Ί Who is affected? β€Ί Why did it happen? RELATED TO HEALTH ACTION β€Ί What can be done to reduce the problem? β€Ί How can be prevented in the future? β€Ί What action should be taken by the community? β€Ί What resources are required? β€Ί How are activities to be organized? β€Ί What difficulties may arise? Epidemiology is "a means of learning by asking questions and getting answers that lead to further questions." PROFESSOR DR AB RAJAR 37
  • 38. These questions can be referred to as: Case definition [what] Person [who] Place [where] Time [when] Causes [why] PROFESSOR DR AB RAJAR 38
  • 39. 2. MAKING COMPARISONS β€Ί To find out the differences in the AGENT, HOST, and ENVIRONMENT conditions between the two groups. β€Ί Weighs. balances and contrasts give clues to ETIOLOGICAL HYPOTHESIS. PROFESSOR DR AB RAJAR 39
  • 41. DEFINING HEALTH AND DISEASE. β€Ί Definition β€’ β€œHealth is a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity " (WHO in 1948) PROFESSOR DR AB RAJAR 41
  • 42. DEFINING HEALTH AND DISEASE. β€Ί This definition β€” criticized because of the difficulty in defining and measuring well-being β€” remains an ideal. β€Ί The World Health Assembly resolved in 1977 that all people should attain: β€’ level of health permitting them to lead socially and economically productive lives by the year 2000. (Health for All by 2000) PROFESSOR DR AB RAJAR 42
  • 43. DEFINING HEALTH AND DISEASE. β€Ί Practical definitions of health and disease are needed in epidemiology, which concentrates on aspects of health that are easily measurable and amenable to improvement. β€Ί Definitions of health states used by epidemiologists tend to be simple, for example, – "disease present" or "disease absent' PROFESSOR DR AB RAJAR 43
  • 44. DEFINING HEALTH AND DISEASE. β€Ί There is often no clear distinction between normal and abnormal. β€Ί Especially, for normally distributed continuous variables that may be associated with several diseases. β€’  Examples:  Cut of point for Blood Pressure- HTN.  Cut of point of Hemoglobin- Anemia.  Normal Range of Blood Cholesterol. PROFESSOR DR AB RAJAR 44
  • 45. Serum Cholesterol (mg%) Frequency 125-135 5 135-145 22 145-155 25 155-165 130 165-175 140 175-185 260 185-195 274 195-200 282 200-210 268 210-220 270 220-230 135 230-245 135 245-255 24 255-265 24 265-275 8 Total 2000 PROFESSOR DR AB RAJAR 45
  • 47. INCIDENCE AND PREVALENCE  These are fundamentally different ways of measuring disease frequency.  The incidence of disease represents the rate of occurrence of new cases arising in a given period in a specified population, while  Prevalence is the number of existing cases (old+ new) in a defined population at a given point in time. PROFESSOR DR AB RAJAR 47
  • 48. INCIDENCE β€Ί "Number of new cases occurring in a defined population during the specified period of time"  Incidence = Number of new cases during a given period / Population at risk x 1000. PROFESSOR DR AB RAJAR 48
  • 49. SPECIAL INCIDENCES β€’Rate at which acute disease is spreading. Attack Rate β€’ % of exposed persons developing disease after primary case exposure. Secondary Attack Rate PROFESSOR DR AB RAJAR 49
  • 50. PREVALENCE β€Ί Prevalence is the total no of existing cases ( old + new) in a defined population at a particular point in time or specified period.  Prevalence = Total no of cases at a given point in time / Estimated population at time x 100 PROFESSOR DR AB RAJAR 50
  • 51. RELATION BETWEEN INCIDENCE & PREVALENCE β€Ί Prevalence = Incidence x Mean duration of d/se. β€’ P= I x D β€Ί Exampleβ€” If β€’ I=10 cases per 1000 per year. β€’ D = 5 years. – P= 10 ᕁ 5 οƒ˜50 cases per 1000 population PROFESSOR DR AB RAJAR 51
  • 52. TYPES OF PREVALENCE 1. Point Prevalence: β€’Prevalence for a given point of time. 2. Period Prevalence: β€’Prevalence for a specified period. PROFESSOR DR AB RAJAR 52
  • 53. RELATION BETWEEN INCIDENCE & PREVALENCE PROFESSOR DR AB RAJAR 53
  • 54. RELATION BETWEEN INCIDENCE & PREVALENCE PROFESSOR DR AB RAJAR 54
  • 55. RELATION BETWEEN INCIDENCE & PREVALENCE PROFESSOR DR AB RAJAR 55
  • 57. Cases of cold infections in class 4th : Class size = 20 January February March β€Ί What is the period prevalence during February? β€Ί What is the point prevalence on the 28th of February? β€Ί What is the incidence in February? PROFESSOR DR AB RAJAR 57
  • 58. SOLUTION What is the period prevalence during February? – 6/20=30.00% What is the point prevalence on the 28th of February? – 1/20=5.0% What is the incidence in February? – 4/18=22.20% PROFESSOR DR AB RAJAR 58
  • 59. FACTORS INFLUENCING THE PREVALENCE INCREASED BY β€’ Longer duration of the disease β€’ Prolongation of life of patients without cure β€’ Increase in new cases (increase in incidence) β€’ In-migration of cases β€’ Out-migration of healthy people. β€’ In-migration of susceptible people β€’ Improved diagnostic facilities β€’ (better reporting) DECREASED BY β€’ Shorter duration of the disease β€’ High case-fatality rate from the disease β€’ Decrease in new cases (decrease in incidence) β€’ In-migration of healthy people β€’ Out-migration of cases β€’ Improved cure rate of cases PROFESSOR DR AB RAJAR 59
  • 60. PROFESSOR DR AB RAJAR 60
  • 61. SCOPE OF MEASUREMENTS IN EPIDEMIOLOGY PROFESSOR DR AB RAJAR 61
  • 62. MEASUREMENTS IN EPIDEMIOLOGY i. Measurement of mortality. ii. Measurement of morbidity. iii. Measurement of disability. iv. Measurement of natality. v. Measurement of presence or absence of attributes. vi. Measurement of health care need. vii. Measurement of environmental & other risk factors. viii.Measurement of demographic variables. PROFESSOR DR AB RAJAR 62
  • 64. TOOLS OF MEASUREMENTS Rate Ratio Proportion β€Ί Basic tools are - β€Ί Used for expression of disease magnitude PROFESSOR DR AB RAJAR 64
  • 65. RATE….. β€Ί RATE: β€Ί A rate measures the occurrence of some particular event in a population during a given time period. –A rate comprises of following four elements: β€Ί Numerator. β€Ί Denominator. β€Ί Time specification. β€Ί Multiplier, (E.g. death rate). PROFESSOR DR AB RAJAR 65
  • 66. NUMERATOR β€Ί Numerator refers to the number of times an event ( e.g. sickness, birth, episodes of sickness) has occurred in a population, during a specific time period. β€Ί Note: Numerator is a component of the denominator in calculating a rate, but not in a ratio. PROFESSOR DR AB RAJAR 66
  • 67. DENOMINATOR β€Ί Numerator has little meaning unless it is related to the denominator; therefore epidemiologists has to choose an appropriate denominator while calculating a rate. β€Ί It may be: – Related to the population or – Related to the total events. PROFESSOR DR AB RAJAR 67
  • 68. DENOMINATOR β€Ί Related to the population: – Mid-year population – Population at risk – Person-time – Person – distance – Sub-groups of the population β€Ί Related to the total events: – Eg : number of accidents per 1000 vehicle owners PROFESSOR DR AB RAJAR 68
  • 69. POPULATION AT RISK: β€Ί Population at risk: β€Ί Portion of a population that is susceptible to a disease β€Ί Can be defined on the basis of demographic or environmental factors Prevalence. β€Ί Population at risk: Examples: – Population at risk of developing carcinoma of the cervix: Female population Age > 30 and < 70 years. – Population at risk of hepatitis B Those individuals anti-HBc negative Prevalence PROFESSOR DR AB RAJAR 69
  • 70. TYPES OF RATE….  DEATH RATE: –Death Rate = π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑖𝑛 π‘œπ‘›π‘’ π‘¦π‘’π‘Žπ‘Ÿ 𝑀𝑖𝑑 π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘› x 1000. –Various categories of rate are: a. Crude Death Rate. b. Specific death rate. c. Adjusted or standardized Rates. PROFESSOR DR AB RAJAR 70
  • 71. CRUDE DEATH RATE: – CRUDE DEATH RATE: β€Ί These are actual observed rates such as the birth rate & death rates. β€Ί The denominator is whole population. β€Ί Known as Unstandardized rate ( E.g. Crude Birth Rate). – CBR= π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘œ π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Ž π‘Žπ‘‘ π‘Ž π‘π‘™π‘Žπ‘π‘’ 𝑖𝑛 π‘Ž π‘¦π‘’π‘Žπ‘Ÿ π‘‡π‘œπ‘‘π‘Žπ‘™ 𝑀𝑖𝑑 π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘› π‘œπ‘“ π‘‘β„Žπ‘’ π‘ π‘Žπ‘šπ‘’ π‘π‘™π‘Žπ‘π‘’ π‘¦π‘’π‘Žπ‘Ÿ x 1000. β€Ί Note: Population of 1st January is less & at 30th more, so we take mid-year ( 1st July) population. PROFESSOR DR AB RAJAR 71
  • 72. SPECIFIC RATES: β€Ί These are specific rated due to: –Specific causes (e.g. Tuberculosis) or –Occurring in specific groups (age or sex groups ) or –During specific time period (e.g. annual, monthly or weekly rates). β€Ί So, in this denominator is a specific segment of population e.g., some specific rates are: –IMR –MMR –Neonatal Mortality rate. PROFESSOR DR AB RAJAR 72
  • 73. CASE FATALITY RATE β€Ί Percentage of particular cases dying during a particular disease epidemic. β€Ί Killing power of disease, particularly acute diseases. –CFR= π‘π‘œ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Ž 𝑑𝑒𝑒 π‘‘π‘œ π‘β„Žπ‘œπ‘™π‘’π‘Ÿπ‘Ž π‘‡π‘œπ‘‘π‘Žπ‘™ π‘π‘œ π‘œπ‘“ π‘β„Žπ‘œπ‘™π‘’π‘Ÿπ‘Ž π‘π‘Žπ‘ π‘’π‘  ᕁ100 PROFESSOR DR AB RAJAR 73
  • 74. PROPORTIONAL MORTALITY RATE β€Ί Proportion of % of death due to particular cause out of total deaths. – It measures the disease burden. Under-5,Proportional mortality= π‘π‘œ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Ž π‘π‘’π‘™π‘œπ‘€ 5 π‘¦π‘’π‘Žπ‘Ÿπ‘  π‘‡π‘œπ‘‘π‘Žπ‘™ π‘π‘œ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  ᕁ100 PROFESSOR DR AB RAJAR 74
  • 75. SURVIVAL RATE β€Ί Percentage of the treated patients remaining alive at the end of 5 years of treatment. β€Ί Yard stick for assessing the standing of therapy in cancer. – Survival Rate= 𝑝𝑑𝑠 π‘Žπ‘™π‘–π‘£π‘’ π‘Žπ‘‘ π‘‘β„Žπ‘’ 𝑒𝑛𝑑 π‘œπ‘“ 5 π‘¦π‘Ÿπ‘  π‘‡π‘œπ‘‘π‘Žπ‘™ π‘π‘œ π‘œπ‘“ 𝑝𝑑𝑠 π‘‘π‘Ÿπ‘’π‘Žπ‘‘π‘’π‘‘ ᕁ100 PROFESSOR DR AB RAJAR 75
  • 76. ADJUSTED OR STANDARDIZED RATES β€Ί These are obtained by the direct and indirect method of standardization or adjustment – age & sex standardized rates. PROFESSOR DR AB RAJAR 76
  • 77. COUNT: β€Ί Count No. of new AIDS cases: –City A 58 –City B 35 PROFESSOR DR AB RAJAR 77
  • 78. DIVIDE No. of new AIDS cases No. Year Population City A 58 2004 25,000 City B 35 2004-2005 7,000 β€’ City A: 58/25,000/ 1 year β€’ City B: 35/7000/ 2 years Divide PROFESSOR DR AB RAJAR 78
  • 79. RATIO β€Ί It expresses a relation in size between two random quantities. β€Ί Ratio is the result of dividing one quantity by another. β€Ί It is expressed in the form of x/y or x:y. β€Ί In ratio, the numerator is not a component of the denominator. PROFESSOR DR AB RAJAR 79
  • 80. RATIO Cont…. β€Ί The ratio of white blood cells relative to red blood cells is 1;600, meaning that for each WBC there are 600 RBSs. –Others as: –Sex-ratio i.e. male to female ratio. –Doctor-population ratio. –Child-women ratio. PROFESSOR DR AB RAJAR 80
  • 81. RATIO. β€Ί In a class that has 20 male students and 80 female students. β€Ί We can think about this in several ways. β€Ί The ratio of boys to girls as 20:80 or 20/80. β€Ί Aa 1:4 ratio (or 1/4 ratio). [This indicates that for every boys, there are four girls]. β€Ί From the inverse perspective, i.e., the number of girls relative to the number of boys; in this case the ratio of girls to boys is 80/20 which is equivalent to 4 to 1, i.e., there are four girls for every boys. PROFESSOR DR AB RAJAR 81
  • 82. PROPORTION β€Ί A proportion is a ratio, which indicates the relation in the magnitude of a part of the whole. β€’ The numerator is always included in the denominator. β€’ A proportion is usually expressed as a percentage (%) e.g.: P= π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘œ π‘œπ‘“ 𝑆𝑐𝑏𝑖𝑒𝑠 π‘Žπ‘‘ π‘Ž π‘π‘’π‘Ÿπ‘‘π‘–π‘Žπ‘› π‘‘π‘–π‘šπ‘’ π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘β„Žπ‘–π‘™π‘‘π‘Ÿπ‘’π‘› 𝑖𝑛 π‘‘β„Žπ‘Žπ‘‘ π‘Žπ‘Ÿπ‘’π‘Ž π‘Žπ‘‘ π‘‘β„Žπ‘’ π‘ π‘Žπ‘šπ‘’ π‘‘π‘–π‘šπ‘’. x 100. PROFESSOR DR AB RAJAR 82
  • 83. PROPORTIONS β€Ί The mortality from bird flu was 44 from total number of infected 123 persons in last year in China. β€Ί In total, 123 people were infected, and 44 of these died. β€Ί Therefore, the proportion who died was 44/123, which could be expressed as a decimal fraction (0.36) or as a percentage (36%). β€Ί This proportion is referred to as the "case-fatality" rate, although strictly speaking, it is a proportion and not a rate. PROFESSOR DR AB RAJAR 83
  • 84. PROFESSOR DR AB RAJAR 84