1. Before the dawn of the 21st Century and
before the advent of antibiotics , Public
health since aegis
has waged war against
greatest threat to mankind, Plague,
cholera & small pox and has won
convincingly …… .
2. Association ,Causation
Cause and effect in Epidemiology
D R D E O D AT T M S U R YAW A N S H I
(MD COMMUNITY MEDICINE ,KEM,MUMBAI )
A S S I S TA N T P R O F E S S O R
COMMUNITY MEDICINE
DSMCH
3. The work of epidemiology is related to
unanswered questions ,but also
unquestioned answers.
4. Learning Objectives
What is Association?.
Types of association.
Criteria for causation.
Uses of Epidemiology.
5. Association
Find the cause of disease
Hypothesis : two or more variables related /associated
Proceed to measure the association between the two .
6. Definition of association
Concurrence of two variables more often than would be
expected by chance.
Association does not always means casual relationship.
Measure by correlation coefficient
+ 1 to – 1
+ 1 positive correlation
- 1 negative correlation
8. Theories of causation of disease
Supernatural theory – Old and medieval period
Contagion theory (miasma)- Renaissance
Germ theory (Koch postulates)-Early 19th century
Epidemiological triad theory
BEINGS model
Web of causation
Epidemiological wheel theory
The theory of necessary and sufficient cause.
9. Types of association
Spurious association.
Indirect association.
Direct association.
One to one causal
Multi factorial causation
16. Direct
causation
: one to one
causation
Change in one
causes change in
another variable
It is cause one to
one causal
relationship .
Cause effect
relation ship
Factor A must be
present to cause the
outcome B
19. Multi factorial causation
High fat
diet
Cumulative effect of
factors causing disease
Lack of
exercise
Uncontrolled
diabetes
CHD
20. Criteria for judging causality
Temporal association.
Strength of association.
Specificity of association.
Consistency of association
Biological plausibility
Coherence of association
22. Strength of association
How much is the association : measure
Relative risk & Odds ratio
Dose response relationship
Duration response relationship
Cessation relationship.
25. Biological plausibility
Is the cause effect phenomena commensurate with
already known facts
Should stand to reasoning of present day knowledge.
26. Coherence
Rise in tobacco consumption has led to rise in lung
cancer deaths.
So when smoking and tobacco consumption was
stopped ,the trend decreased.