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    • Observational studies
      The epidemiologist simply observes the exposure and disease status of each study participant and is often the first step in an epidemiological investigation
    • Types of Observational studies
      • Descriptive Epidemiology
      • Analytic Epidemiology
    • Descriptive Epidemiology
      Covers the 5W's: What, Who, Where, When, Why/how
    • The 5W's of descriptive epidemiology
      • What = health problem of concern
      • Who = person
      • Where = place
      • When = time
      • Why/how = causes, risk factors, modes of transmission
    • Epidemiologists strive for similar comprehensiveness in characterizing an epidemiologic event
    • Synonyms for the 5 W's
      • Case definition
      • Person
      • Place
      • Time
      • Causes/risk factors/modes of transmission
    • Descriptive epidemiology

      • Covers time, place, and person
    • Time
      The occurrence of disease changes over time, some regularly, others unpredictably
    • Diseases with seasonal patterns
      • Influenza (winter)
      • West Nile virus infection (August-September)
    • Diseases without seasonal patterns
      • Hepatitis B
      • Salmonellosis
    • Place
      Describing the occurrence of disease by place provides insight into the geographic extent of the problem and its geographic variation
    • Person
      Personal characteristics may affect illness, so data is organized and analyzed by attributes like age, sex, ethnicity, socioeconomic status
    • Age
      The single most important "person" attribute, as almost every health-related event varies with age
    • Sex
      Males have higher rates of illness and death than females for many diseases, due to genetic, hormonal, anatomic, or other inherent differences
    • Ethnic and racial groups
      Differences in racial, ethnic, or other group variables may reflect differences in susceptibility, exposure, or other factors that influence disease risk
    • Socioeconomic status
      Difficult to quantify, made up of variables like job, family income, educational achievement, and living conditions
    • Cross-sectional study
      A sample of persons from a population is enrolled and their exposures and health outcomes are measured at the same time, assessing the prevalence of the health outcome at that point in time
    • Analytic Epidemiology
      Concerned with the search for causes and effects, using quantitative methods to identify associations between exposures and outcomes and test hypotheses about causal relationships
    • Types of Analytical studies
      • Cohort study
      • Case-control study
      • Experimental studies
    • Cohort study
      The epidemiologist records whether each study participant is exposed or not, and then tracks the participants to see if they develop the disease of interest
    • Case-control study
      Investigators enroll a group of people with disease (cases) and a group without disease (controls), then compare previous exposures between the two groups
    • Experimental studies
      The investigator determines the exposure for each individual or community through a controlled process, and then tracks them over time to detect the effects of the exposure
    • Clinical trials
      Research studies performed in people that are aimed at evaluating a medical, surgical, or behavioral intervention
    • Community trials
      The treatment groups are communities rather than individuals, appropriate for diseases influenced by social conditions and prevention efforts targeting group behavior
    • Observational studies
      The epidemiologist simply observes the exposure and disease status of each study participant and is often the first step in an epidemiological investigation
    • Types of Observational studies
      • Descriptive Epidemiology
      • Analytic Epidemiology
    • Descriptive Epidemiology
      Covers the 5W's: What, Who, Where, When, Why/how
    • The 5W's of descriptive epidemiology
      • What = health problem of concern
      • Who = person
      • Where = place
      • When = time
      • Why/how = causes, risk factors, modes of transmission
    • Epidemiologists strive for similar comprehensiveness in characterizing an epidemiologic event, whether it be a pandemic of influenza or a local increase in all-terrain vehicle crashes
    • Descriptive epidemiology covers time, place, and person
    • Time
      The occurrence of disease changes over time. Some changes occur regularly, while others are unpredictable
    • Diseases with seasonal patterns
      • Influenza (winter)
      • West Nile virus infection (August– September)
    • Diseases without seasonal patterns
      • Hepatitis B
      • Salmonellosis
    • Place
      Describing the occurrence of disease by place provides insight into the geographic extent of the problem and its geographic variation
    • Person
      Personal characteristics may affect illness, so data is organized and analyzed by attributes like age, sex, biologic characteristics, acquired characteristics, activities, or living conditions
    • Age
      The single most important "person" attribute, because almost every health-related event varies with age
    • Sex
      Males have higher rates of illness and death than females for many diseases, due to genetic, hormonal, anatomic, or other inherent differences
    • Ethnic and racial groups

      Analyzing data by biologic, cultural or social grouping may reflect differences in susceptibility, exposure, or other risk factors
    • Socioeconomic status
      Difficult to quantify, made up of variables like job, family income, education, and living conditions
    • Cross-sectional study

      A sample of persons is enrolled and their exposures and health outcomes are measured at the same time, assessing the prevalence of the health outcome at that point in time
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