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Basic Concepts in Epidemiology 2

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    Basic Concepts in Epidemiology

    Agnes Segunda F. Gerasmo M.D. DPAFP

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    Topics

    I Disease Causation

    II Some Useful Concepts in Epidemiology(The Natural History of Disease)

    III Ways of Classifying Ill or DisabledPersons

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    Epidemiology

    Study of the distribution and determinants

    of health related states or events in specified

    populations and the application of this study

    to control of health problems.

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    Epidemiology

    * Etiology- Cause or causes of disease.

    * Importance of Causality:1. To understand disease occurrence

    and outcome.

    2. To identify the links in the chain ofcausality that are amenable to

    intervention.

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    Definition of Terms

    1. Causebrings about effect.

    2. Causal Association- a relationship betweencategories of events or characteristics in

    which an alteration in the frequency or

    quality of one category is followed by a

    change in another.

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    Definition of terms

    3. Statistical Association ( association in the

    scientific sense)- the dependence between 2

    or more events or characteristic. An

    association is present if the probability of

    occurrence of an event, depends upon the

    occurrence of one or more other variables.

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    Steps to determine statistical Relationship

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    Statistical Association

    1. Positive Association-

    occurrence of higher values of one variable isassociated with the occurrence of higher

    values of the other.

    2. Negative Association-

    occurrence of higher values of one variable isassociated with lower values of the other.

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    Definition of Terms

    Non-causal ( Secondary) statistical Association-

    results from the association of both variables

    of interest with an extraneous variable.

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    Guidelines for Assessing Causal Association

    A. Prototype Criteria/ Guidelines

    Henle- Kochs Postulates:

    1. The organism is always found in the disease in

    question.

    2. The organism is not found in any other disease.

    3. The organism, isolated from one who has the

    disease, and cultured through several generationsto produce disease (Animals).

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    B. Statistical considerations in

    assessing Causation

    1. Association and Causation

    2 categories of events (exposure and

    disease:

    1. Statistical Association

    2. Non- statistical association

    ( Not statistically associated)-independent.

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    2 Categories

    1. Statistically Associated

    a. No Casual Association

    B. Causal Association

    Indirectly AssociatedDirectly Associated

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    2 Categories:

    2. No statistical association- Independent

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    2.2. Defining Variables in Association

    1. Independent variables and Dependent

    Variables

    2. Confounding Variables

    3. Intermediate Variables

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    Variable

    Variablecharacteristic of a person, object or

    phenomenon that can take on different

    values.

    Numerical Variables- the values of these

    variables are expressed in number.

    Categorical Variables- the values of these

    variables in catergories.

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    Variables

    Independent variable- the variables that areused to describe or measure the factors thatare assumed to cause or at least to influencethe problem.

    - the cause

    Dependent variables-use to describe or

    measure the problem under study.- the effect

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    Variable

    A study of the relationship between smoking

    and lung cancer.

    Smoking-independent variable

    Lung cancer- dependent variable

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    Variable

    Confounding variable- a variable that isassociated with the problem and with apossible cause of the problem.

    It may either strengthen or weaken theapparent relationship between the problemand the possible cause.

    Ex. A STUDY ON LOW LEVEL OF MOTHERSEDUCATION AND MALNUTRITION.

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    Variable

    Intermediate variable- in between the

    independent and dependent variable.

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    2.3 Commonly Used Measures of

    Association

    1. Ratio measures of Association:

    a. Rate Ratio

    b. Risk Ratio

    c. Odds Ratio

    2. Difference measures of Association:

    a. Rate Differences

    b. Risk Differences

    c. Attributable Fraction

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    Evidence of Causality

    A. Experimental Evidence

    B. Non-experimental Characteristics

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    Non- experimental Characteristics:

    1. Temporal Sequence

    2. Strength of Association

    3. Dose-response to biologic agent

    4. Similar Association

    5. Plausible

    6. Absence of Explanations

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    Other Concepts

    1. Necessary cause versus Sufficient Cause

    2. Risk Factor and Risk Indicator

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    II Some Useful Concepts

    ( The Natural History of Disease)

    Natural History of Disease-

    the process by which disease occur andprogress in human host.

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    Agent

    A factor whose presence causes a disease or whose

    absence cause disease.

    Categories:

    Physical, Chemical, Nutrient, Biologic, Genetic and

    Psychological agents.

    Infectious Agents:

    infectivity, pathogenicity, virulence.

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    Agents

    Non-infectious

    Chemical- concentration, toxicity

    Physical agents- size, shape, and intensity.Psychological agents- chronicity and

    suddenness.

    Genetic Agents- homo or heterozygocity.

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    Environment

    All external conditions and influences affecting

    the life of living things.

    Physical, Biological and Socioeconomic.

    Provides reservoirs where agents can reside orreproduce and modes of transmission.

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    Host

    The individual human whom an agent produces

    disease.

    Disease can occur to host that is susceptible.

    Lack of susceptibility maybe due:

    a. Immunity

    b. Inherent Resistance

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    Host

    Immunitya. Humoral

    b. Cellular

    a. Passive

    B. Active

    Inherent Resistance

    a. anatomic or physilogic

    b. Genetic or Acquiredc. Permanent

    d. Temporary

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    Relevant Concepts in Disease

    Causation

    A. Biologic Considerations

    Models of disease Causation ( Ecologicmodels:

    1. Epidemiologic Triangle

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    Models of Disease Causation

    2. Epidemiologic Lever and Fulcrum

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    Models of Disease Causation

    3.Wheel

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    Web of Causation

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    The Disease Process

    2 periods:

    1. Prepathogenesis

    a. Susceptibility

    B. Adaptability

    2. Pathogenesis

    a. Early disease

    b. Early clinical Phase

    c. Late clinical Phase

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    Natural History of Disease

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    Levels of Prevention

    1. Primary Prevention

    2. Secondary prevention

    3. Tertiary Prevention

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    Primary Prevention

    Aimed at intervening before the pathological changesoccur.

    Seeks to keep the agent away from contact with thehost to eliminate or reduce host susceptibility.

    Accomplished: General Health Promotion and Specific

    Protection.

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    Secondary Prevention

    to detect disease early, treat promptly and curedisease at its earliest stage.

    When cure is not possible to slow progression,prevent complications and limit disability.

    Screening the most common form.

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    Tertiary Prevention

    To limit disability and rehabilitation of persons

    for whom residual damage exists.

    Activities are focused on the middle to later

    phases of disease, when irreversible

    pathological damage produces disability.

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    Comparison of Prevention for

    Infectious and Non-infectious

    Prevention of Infectious Dse:

    Primary Prevention for communicable dse:

    1. Preventing the spread of the infectious agent.

    2. Increase host resistance.

    Secondary Prevention

    1. surveillance program

    2. isolation

    3. specific treatment

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    Comparison of Prevention

    Prevention of Non-infectious

    Primary Prevention-Agent is destroyed to

    prevent the illness to happen or agent is

    removed from the environment.

    Secondary Prevention-

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    Thank You