The document outlines various models of disease causation, including the epidemiological triad, wheel, and web models, emphasizing the complex interactions between agents, hosts, and environmental factors. It defines necessary and sufficient causes in epidemiology, illustrating how multiple factors contribute to disease outcomes. Additionally, it aims to enhance understanding of disease mechanisms for prevention and control in both infectious and non-infectious diseases.
Introduction to disease causation concepts, objectives to explain disease etiology and causal criteria in epidemiology.
Defining cause in epidemiology as an effect-altering factor, and understanding disease as a functional derangement in organisms.
Models like the epidemiological triad, wheel, and web explore the interplay of agents, hosts, and environments in disease causation.
Explores the complex, multi-factorial nature of chronic diseases, emphasizing no single cause.
Mausner & Kramer’s model emphasizes the complex interplay of various factors beyond the agent alone in causing diseases.Concepts of necessary and sufficient causes; examples illustrate the distinction and application in disease causation.
Rothman’s model illustrates diseases as a result of various component causes represented as pieces of a pie.
Application of models like the epidemiologic triad and web of causation for disease prevention, control, and understanding.
Assessment topics include definitions, models, factors, and case constructs related to disease causation.
Triad , Wheel,Web
and Pie concepts of
disease causation
By
Dr. Bhoj R Singh
Principal Scientist & Head Division of Epidemiology,
ICAR-Indian Veterinary Research Institute, Izatnagar-
243122, Bareilly, UP, India.
Email: [email protected]
2.
Objectives
To explainbasic models of disease
causation.
To understand the etiology or causes of
disease & altered production.
To understand the applicability of causal
criteria as applied to epidemiological
studies
3.
A cause?
Webster’sdictionary defines a cause as
‘something which has an effect’.
In epidemiology a cause can be considered
to be something that alters the frequency of
disease, health & production status or
associated factors in a population.
4.
CONCEPT OF DISEASE
A condition of the body or some part
or organ of the body in which its
functions are deranged.
It is a mal-adjustment of an
organism to the environment.
It is deviation from normal function &
purpose.
5.
5
In epidemiology,there are several models of disease
causation that help understand disease process.
The most widely applied models are:
The epidemiological triad (triangle),
the wheel, and
the web. And
The sufficient cause and component causes models
(Rothman’s component causes model)
General Models of Causation
6.
The epidemiologic triadModel
The epidemiologic triangle or triad is the traditional
model of infectious disease causation.
It has three components: an external agent, a
susceptible host, and environmental factors that
interrelate in a variety of complex ways to produce
disease & alter production & utility in animals.
7.
7
The Epidemiological Triad
HOST
AGENTENVIRONMENT
Genetic make up (breed,
strain, variety.
Nutritional status
Immunological status etc.
Virulence
Pathovar
Biovar
ID50,LD50
Climate
Radiations
Rainfall
Winds
8.
Agent factors
•Infectious agents:agent might be microorganism—virus,
bacterium, parasite, prions, other microbes and others
(poisonous creatures). Generally, these agents must be present
for disease to occur as essential causal factor.
•Nutritive: Excesses or deficiencies (Cholesterol, vitamins,
proteins)
•Chemical agents: (carbon monoxide, drugs, medications)
•Physical agents (Ionizing radiation,…
8
9.
More about agentfactors
Living organisms:
Adaptability
Host range
Virulence
Pathogenicity
Dose: ID50, LD50
etc.
Chemical agents (Toxins and pollutants)
Toxicity dose,
Pnetrability,
Stability
Half-life etc.
Physical agents (Radiations, sound, winds, floods, draughts, soil etc)
Compositions
Magnitude,
Exposure time
10.
Host factors
•Host factorsare intrinsic factors that influence an individual’s
exposure, susceptibility, or response to a causative agent.
•Host factors that affect a individual's risk of exposure to an
agent:
•Age, race, sex, breed, strain, purpose of domestication, feed
and feeding habits, breeding practices sociological status, etc..
•Host factors which affect susceptibility & response to an agent:
•Genetic composition, nutritional and immunologic status,
anatomic structure, presence of other disease or medications,
purpose & use of domestication, method of rearing & husbandry
practices and psychological makeup.10
11.
Environmental factors
Environmental factorsare extrinsic factors which affect the agent
as well as the host and the opportunity for exposure.
Environmental factors include:
Physical factors such as geology, climate,..
Biologic factors such as insects that transmit an agent; and
Socioeconomic factors such as crowding, sanitation, and the
availability of health services.
11
12.
Web of Causation
Web of Causation is devised to address chronic
disease – can also be applied to communicable
disease) due to multi-factorial/ multi-etiologic nature
of causation in many diseases
There is no single cause / multi-factorial causes
Causes of disease are interacting in various pathways
Illustrates the interconnectedness of possible causes
Here the disease is usually well-defined from a clinical point
of view (e.g. lung cancer, Mastitis) but the etiologic
perspective is more complex.
14
The Wheel ofDisease Causation
Mausner & Kramer,1985
The Wheel of Causation de-emphasizes the
agent as the sole cause of disease,
It emphasizes the interplay of physical, biological
and social (production) environments. It also
brings genetics into the mix.
A disease model which discriminates between
'necessary' and 'sufficient' factors.
15.
15
Necessary and sufficientcauses
A necessary cause is a causal factor whose presence is
required for the occurrence of the effect. If disease does
not develop without the factor being present, then we term
the causative factor “necessary”.
Sufficient cause is a “minimum set of conditions, factors or
events needed to produce a given outcome.
The factors or conditions that form a sufficient cause are
called component causes.
16.
16
Example
The tuberclebacillus is required to cause
tuberculosis but, alone, does not always
cause it.
Thus tubercle bacillus is a necessary,
not a sufficient cause.
This true for most the infectious causes.
17.
17
Rothman's modelhas emphasised that the causes of disease
comprise a collection of factors.
These factors represent pieces of a pie, the whole pie
(combinations of factors) is the sufficient cause for a
disease. May be several pies for a disease or syndrome.
It shows that a disease may have more that one sufficient
cause, with each sufficient cause being composed of several
factors.
Rothman’s Component Causes and
Causal Pies Model
18.
18
The factorsrepresented by the pieces of the pie in this model
are called component causes.
Each single component cause is rarely a sufficient cause by
itself, but may be necessary for causation of the disease.
Control of the disease could be achieved by removing one of
the components in each "pie" and if there were a factor
common to all "pies“ (necessary cause) the disease would be
eliminated by removing that alone.
Rothman’s
Component Causes and Causal Pies
19.
19
Causal Complement
(Causal Pie)
Causal complement ≡
the set of factors that
completes a sufficient
causal mechanism
Example: Typhoid
Necessary agent
Salmonella enterica ser
Typhi
Causal complement
“Susceptibility”
20.
Causal pies representingall sufficient causes of a
particular disease
20 A given disease can have multiple sufficient mechanisms
Necessary
cause =
found in all
cases (B)
Contributing
cause =
needed in
some cases
(A, C, D, E,
F) but not in
all cases.
Sufficient
cause = the
set of
necessary &
contributing
causes that
make disease
inevitable in
an individual
21.
Applications
Epidemiologic Triad(devised to enhance
search for understanding communicable
disease). Model works with both infectious or
non-infectious diseases.
Web of Causation (devised to address chronic
disease – can also be applied to communicable
disease)
22.
Applications
The purposeof studying cause and effect
in epidemiology is to generate knowledge
to prevent and control disease.
Distinguishing natural from other causes of
death & loss or reduced production/ utility.
Establishing modes of transmission &
spread.
23.
Quiz
1. Define thecause and disease.
2. Name the different models to explain the
causation of disease.
3. Give Trriad factors of HS and FMD.
4. Define sufficient and necessary & component
causes.
5. Differentiate between Mausner & Kramer’s Wheel
and Rothman’s causal Pie Model.
6. Construct Pies for Mastitis & Infertility in cows.
7. Construct web model for repeat breeding in
buffaloes.