2. Objectives of epidemiology
• To identify the cause of disease and risk factors
• To determine the extent of disease found in community
• To study the natural history of disease
• To evaluate existing and new preventive measures
• To provide foundation for developing public policies
4. Diagnostic phase
• Presence of disease is confirmed with evidence of clinical findings and
lab diagnosis
• Root cause of disease is identified
5. Descriptive phase
• Describes population at risk and the distribution of disease,both in
time and place, within this population
• Allows a series of hypothesis to be formed about the likely
determinants of the disease and the effects of these on the
frequency with which the disease occurs in the populations at risk
7. Experimental phase
• Testing hypothesis
• Exposure of drug
• Study the effect of drug /placebo
• Collect the clinical data
• Monitor the effect of drug
9. Intervention phase
• Testing the hypothesis under controlled environment
• Appropriate methods for the control of the disease are examined
either under experimental conditions or in the field
• Interventions in the disease process are effected by manipulating
existing determinants or introducing new ones
10. Decision-making phase
• Knowledge of epidemiology of the disease is used to explore the
various options available for its control
• This often involves the modelling of the effects that these different
options are likely to have on the incidence of the disease
• These models can be combined with other models that examine the
costs of the various control measures and compare them with
benefits, in terms of increased productivity, that these measures are
likely to produce
• Optimum control strategy can be selected as a result of the expected
decrease in disease incidence in the populations of livestock at risk
11. Monitoring phase
• Which takes place during the implementation of the control measures
to ensure that these measures are being properly applied, are having
the desired effect on reducing disease incidence
• Success of control programme are detected
12.
13. Intervention assigned
Comparison group
Experimental/ Interventional study Observational study
Analytical Descriptive
Randomization
Yes No
Present Absent
RCT Non RCT
Yes No
Case Control
Cohort
Cross sectional
Ecological
Case study/report
Case series
Surveillance
Cross sectional
Ecological
Clinical trial - patients
Field trial - Healthy people
Community trial
14.
15. Descriptive studies
• Case study - report of a single patient
• Case series - Similar clinical findings of a group of patient
• Surveillance - Continuous scrutiny of all aspects of a disease pertinent
to its effective control
• Cross sectional - Study of a group of people at a single point of time
• Ecological - Studies of risk modifying factors on health or other
outcomes based on population defined either geographically or
temporally (may cause ecological fallacy)
17. Case Control
• Retrospective
• ODDs ratio is calculated
• Suitable for rare disease
• Less time consuming
• No problem of loss of follow up/ dropout/ attrition
• Recall bias, selection bias present
• Multiple type of exposure leading to same disease can be calculated
18.
19. • If RR = 1 -> No association between exposure and outcome
• If RR > 1 -> Positive association between exposure and outcome
• If RR < 1 -> Negative association between exposure and outcome
20. Cohort
• Prospective
• Absolute risk, relative risk, attributable risk is calculated
• Suitable for rare exposure
• Much time consuming
• Temporality of association can be established
• Natural history of disease can be studied
• Hawthorne effect
• Single exposure leading to multiple disease can be studied
21.
22. Variants of cohort
• Nested case control - Interim data analysis of an ongoing cohort study
• Retrospective or historical cohort
• Mixed cohort - Ambidirectional
23.
24. • Absolute risk - Incidence of disease
How many times the exposed group is at higher risk of disease
compared to non exposed
25. To what extent is the exposure responsible for disease in exposed
group
If the risk factor is eliminated from population, by what % the
incidence of the disease will decline in that population
26. Example
• AR -> a/(a+b)
• RR -> {a/(a+b}/{c/(c+d)}
• OR -> ad/bc
• ARR->{a/(a+b}-{c/(c+d)}
• PAR-> ARR*No exposed
27. Randomized Control Trial
• Phase 0 : Animals
• Phase 1: Healthy individuals to know upper tolerable limit and
pharmacokinetics
• Phase 2: Patients to know the effect of drug
• Phase 3: Patient to compare effect of new drug with pre existing drug
• Phase 4: Patient for long term effect of drug
28. Meta analysis
• Here the data from similar small comparable studies and fresh
analysis of the data is done
• Effective sample size increase, error decrease, power of study
increase, level of confidence increase
• Best method to establish causal inference
Confirmation of presence of the disease
formation of hypothesis
implementation of a series of field field studies to test hypothesis
experiment under controlled conditions to test the hypothesis
analysis of research data
method for control of disease are examined either under experimental condition or field
implementation of control measures