Measurement of health and disease
INTRODUCTION TO EPIDEMIOLOGY
B Y A L E M N E W D E S TAW ( M P H , P H D F E L L O W )
Session 1: General Principles of Epidemiology
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History, definition, uses, scope, and assumptions
Disease causation: concepts and factors
Models: Epidemiological triangle, web of causation,
wheel model
Time, Place and Person concept in disease causation
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Learning Objectives
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By the end of this session, students should be able to:
Define epidemiology
Describe the history of epidemiology
Explain the basic assumptions of epidemiology
Identify the scope of epidemiology
Describe basic models of disease causation.
Identify the classification of epidemiology
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Definition
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Epidemiology is the study of the
frequency,
distribution, and
determinants of health-related states
in specified populations, and the application of this
study to the control of health problems.
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Definition…
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Is concerned with the collective health of individuals
in communities and in getting appropriate solution to
alleviate the health problems.
It provides useful tools and methods
to describe variations in disease occurrence and
identify factors that influence the occurrence of disease among
population groups.
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Terms from the definition
Study: Epidemiology is6 a scientific discipline,
sometimes called “the basic science of public health”.
Frequency : Epidemiology is a quantitative science.
Distribution: refers to the occurrence of health-related
events by time, place, and personal characteristics.
Determinants: used to search for causes and other
factors that influence the occurrence of health-related
events.
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Health-related states or events.
Endemic communicable diseases
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and non communicable
diseases.
Chronic disease, injuries, birth defects, Maternal and
child health, occupational health, and environmental
health.
behaviors related to health and well-being (eg. amount of
exercise, seat-belt use, etc.)
Thus ,we use the term “disease” to refer the range of
health-related states or events.
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Application: Epidemiology Provides the base for
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directing practical and appropriate public health action.
“Epidemiology is practical science”
Specified populations: Focus on the population.
Epidemiologists and physicians in clinical practice differ
greatly in how they view “the patient.”
Clinician usually focuses on diagnosing & treating the
individual.
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The epidemiologist focuses on assessing ;
The level of health related event in
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The number of other persons who may have been similarly exposed to
the factor
The type and source of exposure to the factor
The potential for further spread of the disease in the community
Interventions to prevent additional cases or recurrences of the problem.
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Epidemiology Classification
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1. Descriptive epidemiology - describing the frequency
and distribution of diseases and other health related
conditions by Person, Place and Time (PPT)
It answers the questions Who, Where and When.
Person (Who were affected? )
Young Vs Old
Female Vs Male
Rich Vs Poor
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Descriptive cont‟d
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Place (Where was the problem occurred? )
Lowland Vs Highland
Urban Vs Rural
Time ( When was the problem occurred? )
Seasonal Variations
Long term variations
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2. Analytic epidemiology
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Concerned with identification of causes and other
factors that influence the occurrence of health-related
events in the population
It answers the questions WHY and HOW.
Involves explicit comparison of groups of individuals
for the level of health related event to identify
determinants of health and diseases.
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Descriptive and analytic 13classification is more of a
continuum than a dichotomy. They go together.
Many studies have both descriptive and analytic
aspects.
Data collected in one mode may end up being used in
the other as well.
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History of Epidemiology
Hippocrates (400 B.C.): 14
attempted to explain disease rationally rather than
through supernatural beliefs.
Wrote the essay „„On Airs, Waters, and Places‟‟:
Emphasized the role of environmental factors
(like air, water, and living conditions) in disease
causation.
Considered as the first epidemiologist
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John Graunt (1662)
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The most important advances in epidemiology are
attributed to the Englishman John Graunt (1620–1674).
He was the first epidemiologist to quantify patterns of
birth, death, and disease occurrence
Observed male-female disparities, high infant
mortality, urban-rural differences, and seasonal
variations.
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James Lind (1747)
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First person to conduct an experimental study in human
populations.
In 1747, conducted a controlled trial aboard a British
naval ship.
Identified that scurvy (gum bleeding) was caused by a
deficiency of citrus fruits (vitamin C).
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Edward Jenner (1749-1823)
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Pioneered the smallpox vaccine.
His work laid the foundation for vaccination programs
and contributed to the eradication of smallpox in the 20th
century.
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William Farr (1839-1883)
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Father of Modern Vital Statistics:
Established the use of vital statistical data for evaluating health
problems.
Developed concepts like population at risk and choosing
appropriate comparison groups, still in use today.
Extended John Graunt's Work:
Systematically collected and analysed Britain‟s mortality
statistics.
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John Snow (1853):The First Modern Epidemiologist
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Formulated and tested a hypothesis about the origin of a
cholera epidemic in London.
Postulated that cholera was transmitted by contaminated water.
During the cholera outbreak in Golden Square, London, Snow
investigated where cholera patients lived and worked.
Then he mapped the locations of cholera cases on a spot map.
Identified the source of the outbreak as a specific water pump
on Broad Street.
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Scope of Epidemiology
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Currently Epidemiology deals with health related
problems whether they belong to;
Communicable,
Non-communicable Or
Any Type Of Injury Category.
Its scope in public health ranges from routine
surveillance to research strategies
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Use/applications of Epidemiology
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Elucidate the natural history of disease.
Describe the health status of the population.
Establish disease causation
Provide basic information about what causes or
sustains disease in populations.
Guide healthcare policy and health planning.
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Assist in the management and care of health and
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disease in individual
Evaluations of preventive, diagnostic and therapeutic
programmes and technologies.
Define standards and ranges for normal values of
biological and social measures.
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Basic Epidemiologic Assumptions
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The two basic assumptions in epidemiology are:
1. Human disease does not occur at random
2. Human disease has causal and preventive factors
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Basic epidemiological assumptions….
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Human disease does not occur at random:
There are patterns of occurrence in which some behavioral
and environmental factors (exposures) increase the risk of
acquiring/developing a particular disease among group of
individuals.
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Basic epidemiological assumptions……
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Human disease has causal and preventive factors
identified through systematic investigation of populations
or group of individuals within a population in different
places or at different times.
Thus, identifying these factors creates opportunity for
prevention and control of diseases in Human population
either by eliminating the cause or introducing appropriate
treatment.
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Epidemiological Concepts of Disease Causation
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Learning objectives
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At the end of the session the students will be able to:
Describe the concept of disease causation
Explain Models of disease causation
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Introduction
Cause of Disease 28
is an event, condition, characteristic or a combination of
these factors which plays an important role in producing
the disease.
Characteristics of a cause
1. Must precede the effect
2. Can be either host or environmental factors
e.g., conditions, actions of individuals, events, natural,
social or economic phenomena
3. Positive (presence of a causative exposure –smoking
for lung ca) or negative (lack of a preventive exposure-
immunization for measles)
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Classification of Causes of Disease
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1. Primary Cause / Necessary Cause: A factor that
must be present for the disease to occur. If it is
absent, the disease will not develop.
In infectious diseases, this is referred to as the
etiologic agent.
Example: Mycobacterium tuberculosis is the primary
cause (etiologic agent) of pulmonary TB.
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2. Sufficient Cause: A set of conditions that inevitably
produce a disease when present.
A disease may have multiple sufficient causes.
Eg. Rabies virus is a sufficient cause of clinical rabies.
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Risk Factors :
Increases the likelihood of31disease, but are not the
necessary causes.
Predisposing Factors: Make individuals more
susceptible to disease (Age, genetic susceptibility).
Contributing (Enabling) Factors: Help facilitate the
onset of disease by affecting exposure or resistance
E.g. Poor nutrition
Aggravating (Precipitating) Factors: Trigger or
worsen the disease condition. e.g stress
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Risk factors can be categorized
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as:
Modifiable: smoking, alcohol use, seat belt etc
Non-Modifable: E.g Age, sex, genetics etc
Etiology of Disease: is the sum total of all factors
(primary causes and risk factors) that contribute to the
occurrence of the disease.
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Models of disease causation
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Epidemiologists use various models to illustrate the
multifactorial nature of disease causation.
While there are several disease causation models, some
of the most well-known include: Epidemiological
Triangle, Web of Causation, and Wheel Model.
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Epidemiological Triangle
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The most familiar disease model illustrates the
relationship among three key factors in the occurrence
of disease or injury: Agent, Environment, and Host.
From the perspective of the Epidemiological Triangle,
the Host, Agent, and Environment must coexist
harmoniously for health to be maintained.
Disease or injury occurs only when there is an altered
equilibrium or imbalance between these three factors.
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Agent: A factor whose presence, absence, excess, or
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deficiency is necessary for a particular disease or
injury to occur.
Host: Host factors influence an individual‟s exposure,
susceptibility, or response to a causative agent.
Examples include age, sex, race, socioeconomic
status, and behaviours (e.g., smoking, drug use,
lifestyle, eating habits).
Environment: All external factors, other than the
agent, that can influence health. These include social,
physical, and biological environments.
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Epidemiologic Triad (Balance Beam)
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Web of Causation Model
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This model explains that diseases result from a
complex interplay of multiple interrelated factors.
It is particularly useful for understanding chronic
diseases, such as CVD, which are influenced by
factors like stress, diet, heredity, and physical activity
This model emphasizes that diseases develop through
a chain of causation and can also be applied to injuries
and communicable diseases.
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Web of causation model
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Wheel Model
Core (Host): The center of the 39
wheel represents the host (human)
and their genetic make-up, which plays a central role in disease
susceptibility.
The environment is divided into three sectors:
1. Biological: Includes pathogens (e.g., bacteria, viruses) and other
biological factors that contribute to disease.
2. Social: Factors such as culture, lifestyle, socioeconomic status,
and social interactions that impact health.
3. Physical: The physical environment, including pollution, climate,
and physical surroundings that affect health.
The model stresses the unity and interaction of these factors in the
development of diseases.
The relative size of the components depends on the disease.
e.g. For hereditary diseases, the genetic core is large.
For measles, the biological sector and host immunity are larger.
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Wheel Model
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Thank you!
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SESSION 2: Concepts in Infectious Disease
Epidemiology
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Topics
Chain of infection and mechanisms of transmission
Transmission probability
Infection timeline & natural history
Levels of prevention
Disease outcomes: Infectiousness, pathogenicity,
virulence
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Learning Objectives
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By the end of this session, students should be able to:
Describe the chain of infection and transmission types.
Understand transmission probability and apply it to real-world
settings.
Outline the stages in the natural history of diseases.
Classify preventive interventions by level.
Differentiate key disease outcome terms: infectiousness,
pathogenicity, and virulence.
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