Epidemiology Flashcards
Study (scientific, schematic, data-driven) of the distribution (frequency and pattern) and determinants (causes, risk factors) of health-related stages or events in specified populations and the application to the control of health problems
Epidemiology
Epidemiology is concerned with two key factors of health events:
Frequency
Pattern
Number of health events (such as number of cases of meningitis or diabetes) but also to the relationship of that number to the size of the population
The rate allows epidemiologists to compare disease occurence across different populations
Frequency
Occurence of health related events by time, place and person
May be annual, seasonal, weekly, daily, hourly, weekday vs any other breakdown of time that may influence disease or injury occurence (time pattern)
Geographical variation, urban/rural differences, location of work site or schools (place pattern)
Pattern
Characterizing health events by time, place and person
Descriptive epidemiology
Any factor, whether event, characteristic or other definable entity, that brings about a change in health condition or other defined characteristic
Causes and other factors that influence the occurence of disease and other health-related events
Determinant
Anything that affects the well-being of a population
Health-related states or events
ex. disease
Concerned about collective health of the people in a community or population
Epidemiologist
Focuses on identifying the exposure or source that caused illness, number of persons similarly exposed; the potential for further spread in the community and interventions to prevent additional cases or recurrence
Explained disease from rarional rather than supernatural point of view
“On airs, waters and places”
Environmental and host factors such as behavior might influence development of disease
Hippocrates
Haberdasher and councilman who published a landmark analysis of mortality data in 1662
First to quantify patterns of birth, death and disease occurence noting disparities between males and females, high infant mortality, urban/rural differences and seasonal variations
John Graunt 1662
Father of modern vital statistics and surveillance
William Farr 1800
Anesthesiologist
Father of field epidemiology
Studied cholera outbreaks discovering cause and prevention of disease
Descriptive epi -> hypothesis generation -> hypothesis testing (analytic) -> application
John Snow
John Snow developed this tool showing the geographic distribution of cases
Spot map
Rotavirus vaccine SE
intusucception
Set of standard criterua for classifying whether a person has a particularly disease, syndrome or other health condition
Case definition
Graphing annual cases or rate of a disease over period of years
Long term
Secular trend
Disease occurence can be graphed by week or month over the course of a year or more to show its seasonal pattern
Seasonality
Suggests hypothesis about the time and source of exposure, the mode of transmission and causative agent
Uses histogram
Epidemic period
Single most important “person” attribute
Age
Key feature of analytic epidemiology
Comparison group
Quantifies the association between exposures and outcomes and to test hypotheses about casual relationships
Analytic epidemiology
Two kinds of analytic epidemiology
Experimental
Observational
Investigator determines through a controlled process the exposure for each indivdual (clinical trial) or community (community trial) and then tracks the individuals or communities over time to detect the effects of the exposure
Experimental studies
Epidemiologist simply observes the exposure and disease status of each participant
Observational studies