CIC Epidemiology Flashcards

1
Q

Epidemiological triangle

A
host
                            / \
                          /     \
                        /         \
                      /             \
           agent -----------environment
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2
Q

Resevoir

A

-place where infectious agent can survive, but might not multiply

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3
Q

Herd Immunity

A

-high proportion of group resistant to infectious agent

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4
Q

Qualitative research

A
  • understanding human experience

- interpretative approach to subject and context

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5
Q

Fomite

A

inanimate object where organisms can reside; transmission risk

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6
Q

Quantitative research

A

-causative relationship suggested by numerical data, at least two variables

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7
Q

Cross-sectional study

A
  • prevalence, correlation or survey study
  • population’s risk factors and outcomes reviewed at given point of time
  • incidence rates cannot be determined
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8
Q

Case-control study

A
  • population with and without chosen outcome studied for exposure to one or more risk factors
  • quick, inexpensive
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9
Q

Clinical Trial

A

-interventions randomly assigned to participants
usually double blinded (participants and investigator not aware of who is assigned to intervention or control group)
-considered gold standard for casual relationship
-expensive, time consuming
-random assignment results in variable participant characteristics

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10
Q

Attack rate

A
  • (number of new cases with disease or condition/population at risk) x 100
  • expressed as a percentage, e.g., 5% of population, or cases per 100 population
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11
Q

Cohort study

A

-prospective or longitudinal study
population sample with and without exposure to select risk factors studies for outcomes incidence
-stronger casual relationship

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12
Q

Incidence rate

A

-(number of new cases/population at risk) x constant

constant = multiples of 10 to achieve whole number

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13
Q

Incidence density

A

-(number of new cases/exposure time, e.g., device days) x constant

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14
Q

Prevalence rate

A

-(number of existing cases at given moment in time/population at risk at same moment in time) x 100

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15
Q

Sensitivity

A

-percentage of persons with true POSITIVE results when persons WITH disease tested

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16
Q

specificity

A

-percentage of persons with true NEGATIVE results when persons WITHOUT disease tested

17
Q

Nominal scale

A
  • words used to describe groups or categories
  • one category is not considered to be higher or lower than another
    e. g., nurses, physicians, EVS, etc
18
Q

Mortality rate

A

-(number of deaths/population at risk) x 100

19
Q

Outbreak Investigation

A
  1. suspect
  2. outbreak exists
  3. collaborate with key persons
    a. case definition
    b. investigation period
    c. case finding methods
  4. formulate hypothesis
  5. implement and evaluate
  6. prepare and send reports
20
Q

Ordinal scale

A

-numbers used to rank classifications
-relationship between classifications
e.g., likert scale
first, second, third
cancer staging, etc

21
Q

Range

A
  • difference between largest and smallest number in data set
    e. g., data set: 2,3,7,8,21
    range: 21-2=19
22
Q

“Out of Control” data

A
  • data point above UCL or below LCL
  • nine consecutive points on one side of mean
  • six consecutive points increasing or decreasing
  • 14 consecutive points alternating up and down
  • 15 consecutive points 1 SD above or below mean
  • 2 of 3 consecutive points within 2 to 3 SD
  • 4 of 5 consecutive points within 1 to 2 SD
23
Q

Interval scale

A

-original data with difference between any two observations
e.g., 1-3, 4-6, 7-9
age, BP, weight, temperature, etc.

24
Q

Deviation

A

-actual difference between data point and mean

25
Q

Prospective study

A
  • usually require long follow up period

- looks forward

26
Q

Chi square test

A
  • evaluated effect of variable on outcomes
  • calculates odds ratio or relative risk
  • data in each cell needs to be greater than 5
27
Q

Surveillance

A
  • includes data collection, data analysis & correlation

- does not include causation

28
Q

Mean
Mode
Median

A
  • average
  • most frequent number in data set
  • middle
29
Q

Epidemiology

A
  • study of distribution & determinants of disease
  • studies frequency, types and factors that influence illness and injury in groups
  • body of knowledge
  • method of study
30
Q

Fisher’s Exact test

A

-used when numbers are small

31
Q

Normal distribution (graphed)

A
  • continuous, symmetrical distribution, both tails extend to infinity
  • shape of curve determined by mean and SD
  • 95.5% data lies between mean & +/- 2 SD
32
Q

Casual association

A
  • one factor increases probability of occurrence

- determined by strength of identification, consistency & biological plausibility

33
Q

Positive predictive value

A

-percentage of POSITIVE tests when disease PRESENT

34
Q

Epidemic curve

A
  • Helps determine if source of infection common, and/or continuing
  • identify probable exposure to source
  • identify probable incubation period
  • determine if problem is ongoing
35
Q

Standard deviation

A

-measure of dispersion that reflects data variability around mean

36
Q

Negative predictive value

A

-percentage of NEGATIVE tests when DISEASE IS NOT PRESENT