Epidemiology Flashcards
Epi Triangle Components
Host, Agent, and Environment.
The host, the agent, and the environment where the agent lives affect one another
Changes in any one of the 3 can influence the occurrence of disease by increasing or decreasing risk
Understanding the elements can help focus on specific areas
Incident
Number of new cases in given time
Prevalence
Number of cases occurring in a population
Endemic
Usual presence of disease in a specific population or area. Plague in sw us
Epidemic / outbreak
Occurrence of more cases than expected in a given area or group during specific time
Pandemic
An epidemic spread over a wide geographical area
Reservoir
Place where infectious agent can survive- but may not multiply
Fomite
Inanimate object where organisms can live for a period of time
Herd immunity
Resistance of a group to invasion and spread of an organism (based on immunity in high proportion of population
Risk
Probably of an event occurring
Risk Factor
Characteristics, behavior or experience that increases the likelihood of developing negative health status
True/False: statistics prove causality
False. They can suggest that an association exists
Quantitative research
numerical data usually seeks to establish causal relationship between two or more variables using statistical methods to test the strength and significance of relationships.
Observational studies, experimental studies
Qualitative research
Seeks to provide understanding of human experience, behaviors, perceptions, etc.
Chaos theory, grounded theory, etc
Normal distribution percents 1, 2, and 3 standard deviations
1: 68.2
2: 95.5
3: 99.7
At normal distribution the mean, median and mode are all equal
Positive skewed has a long tail on the ———————
Right
Negative skew has elongated tail to the:
Left
Kurtosis:
How peaked or flat the curve is.
Leptokuric: positive- high peak
Platykuric: negative- flat peak
Incident rate
New cases/ population at risk
8 caps, 72 vent days
8/72 * 1000 = 111 cap rate per 1000
Prevalence rate
Existing cases / population at risk * 100
38 patients screened, 12 positive: 12/38 * 100 = 32
Standardized infection ratio
Number observed infections / number expected
Risk ratio
A/(A+B) / C/(C+D)
Odds ratio
AD / BC