Final Study Guide Flashcards

1
Q

Definition of Epidemiology

A

Study of the distribution and determinants of health related states or events in populations and the application of study for control of health problems

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2
Q

Contributions of John snow

A

Contributed association of public habits (ie pump and cholera ) to health and disease
Removing pump handle or changing it helped with disease

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3
Q

Inez Semmelweis was

A

Someone who proposed hygiene rules around childbirth to prevent infection

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4
Q

Primary prevention

A

Preventing disease before it even develops like using condoms

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5
Q

Secondary prevention

A

Catching diagnosis early ie colonoscopy, Pap smear

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6
Q

Tertiary prevention

A

Reducing complications and improve quality of life, clinical symptoms already therequality of life

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7
Q

Epidemiologic Triad

A

Agents bacteria or virus
Host - thing that has the disease
Environments what causes people to get the agent

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8
Q

Sensitivity vs specificity

A

Sensitivity is positive tests are positive for disease, specificity is designating negative test results as negative

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9
Q

Sensitivity equation

A

A/a+c

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10
Q

Specificity equation

A

D/d+b

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11
Q

Positive predictive value

A

Probability that positive test result = having disease
a/a+b

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12
Q

Negative predictive value

A

Ratio of all negatives to negative test results
d/d+c

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13
Q

False positive

A

Tests positive, does not have disease

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14
Q

False negative

A

Tests negative, has disease

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15
Q

Cause specific mortality rate

A

Deaths from disease/population

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16
Q

Proportionate mortality

A

Deaths from disease/total deaths

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17
Q

Case fatality rate

A

Death due to disease/cases of disease

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18
Q

Odds ratio

A

A d/bc

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19
Q

Mortality rate

A

Deaths/population

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20
Q

Morbidity

A

Having a disease

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21
Q

Case fatality rate

A

of deaths due to disease in specific post diagnosis time/ s of indidpvidualts with disease

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22
Q

Prevalence vs incidence

A

Prevalence is the number of cases in the population at a specific time divided by population while incidence is the number of new cases of disease

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23
Q

Risk vs rate

A

Risk- number new cases that occur in time period in at risk pop
Rate number of new cases over total person time

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24
Q

parameter

A

attribute of a population

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25
confidence interval
test how precise the experiment is, the narrower the interval the higher the confidence
26
statistic
attribute of a sample, estimate of a parameter
27
person time
how long someone is followed for thing
28
subclinical disease
not apparent, likely won't be
29
clinical disease
present signs and symptoms
30
herd immunity
when sufficient population is protected against disease, makes person not person spread unlikely
31
sample
subset of population
32
population
all people in an area or group
33
Statistical significance
Comparing to p value to determine if relative to null
34
Accurate vs precise
Accurate is how close to true values values are, precise is how close they are to each other
35
Cohort study
Measures or classifies exposure then outcome
36
Cross sectional
Measures exposure and outcome at the same time
37
Case control study
Works backwards from exposure
38
Experimental design
Allocate group and compare outcomes
39
Observational study
Observes outcomes
40
Ecological study
Studies groups or populations
41
Prospective cohort study
Study followed over time for prospect
42
Risk ratio
A/a+b/c/c+d
43
Incidence rate cohort study
Expose or unexposed over person timeforthing
44
Random control trial
Cohort study where participants ave randomized to unexposed or exposed
45
Internal validity
Gives estimate of parameter in population
46
External validity
Generalize to outside study group
47
Randomization vs random sampling
Randomization is sedating into study groups, random sampling is selecting from population
48
Confounding
When 2groups are not exchangeable
49
Double blind
Both providers and patients ave unaware of placebo status
50
Prevalence ratio
A/a+ b divided by C/c plus
51
Rate ratio
A/pte - c/ptue
52
Relative risk greater than less that equal to one
Greater than is harmful less than protective
53
Odds ratio
Ad/bc
54
absolute vs relative measures
Absolute is a difference of two measures and relative is a difference of two mrasures
55
Risk difference
A/a+b - c/c+d
56
Rate difference
Rate exposed - rate unexposed
57
Prevalence difference
A/a+b - c/c+d
58
DAGs
Chart that shows how variables are related
59
Crude vs adjusted associated
Crude is based on one variable at a time while adjusted is based on model with all variables
60
When to report crude vs adjusted
Report adjusted when there is a cofounder
61
Selection bias
Bias in how subjects are chosen
62
Observation or info bias
Bias in how info is collected
63
Random error
Error in Measurements that can vary
64
How sample size affects error
Increase in sample size decreases random error but not bias
65
Selection bias
Error in retention and recruitment
66
Loss to follow up
When people stop following up
67
Exclusion bias
Different eligibility rules are applied to cases and controls
68
Sampling bias
Using non random sample
69
Participation bias
Different rates of participation across study group
70
Recall bias
Accuracy in recall of information
71
Reporting bias
Inaccurate reporting
72
Interviewer surveillance bias
Differences in obtaining information from participants