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