Basic Epi Flashcards

(36 cards)

1
Q

epidemiology

A

study of distribution and determinants of health or disease in a population, and application of this study to control health problems

it is a young science!

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2
Q

objectives of epi

A
  1. determine etiology or cause of disease + risk factors that increase risk
  2. determine extent of disease in community
  3. study natural history and prognosis of disease
  4. evaluate existing and new preventive and therapeutic measures and modes of healthcare delivery
  5. provide foundation for public policy and decisions on environmental problems
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3
Q

3 types of prevention

A
  1. primary
  2. secondary
  3. tertiary
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4
Q

primary prevention

A

prevent initial development
EX: immunization, limit exposure to risk factor

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5
Q

secondary prevention

A

early detection of existing disease to reduce severity and complications
EX: screen for cancer

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6
Q

tertiary prevention

A

reduce impact of disease
EX: rehab for stroke

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7
Q

surveillance

A

ongoing, systematic collection, analysis, and interpretation of data essential to planning, implementing and evaluating public health practices, and dissemination of info

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8
Q

what is surveillance useful for

A

identify changes in disease
planning
help identify risk factors

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9
Q

surveillance methods

A

passive
active
sentinel

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10
Q

passive surveillance

A

data from doctors, labs, hospitals
cheap, but may have underreporting

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11
Q

active surveillance

A

data actively collected during outbreaks by surveys and medical professionals
expensive and labor intenstive

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12
Q

sentinel surveillance

A

early warning system by focused activities on early detection
cheap and fast, but only works for some diseases

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13
Q

prevalence

A

disease burden
number of cases in pop. at point / period of time
accounts for duration
snapshot of time

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14
Q

prevalence =

A

incidence x duration

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15
Q

duration includes

A

death and cure rate

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16
Q

incidence

A

disease risk
new case / ppl at risk x 1000
measures risk or probability individual will get disease in a given period of time

17
Q

confounding

A

other risk factors that impact disease

18
Q

how can we control for confounders

A

in data analysis
in study design

19
Q

bias

A

any systematic error in design, conduct, or analysis that results in mistake estimate of exposure’s effect on risk of disease

20
Q

endemic

A

natural/normal occurrence of disease in certain area
EX: malaria in Africa

21
Q

epidemic

A

occurrence of disease beyond what is expected or considered normal (must measure normal)
EX: smallpox, measles, polio

22
Q

pandemic

A

epidemic that occurs over wide area
EX: global flu, AIDS, COVID-19

23
Q

if disease occurrence is greater than epidemic level, we investigate

A

who was attacked (sex, age race)
when did it occur (season, trends overtime)
where did cause arise (clusters? EX: Lyme disease, West Nile Virus, COVID-19)

24
Q

infectious disease 2 types of transmission

A

direct and indirect transmission

25
direct infectious disease transmission
physical contact, touch, sex, droplets
26
indirect infectious disease transmission
contaminated surfaces/objects: air, water, food vectors: mosquitoes, flies, ticks, pests
27
basic reproduction number
R0
28
R0 describes
contagiousness of infectious agents OR number of secondary cases 1 case would produce in a completely susceptible population
29
3 parameters for R0
1. duration of contagiousness after a person is infected 2. likelihood of infection per contact btwn. susceptible and infectious person 3. contact rate
30
R0 only applies when...
everyone in population is completely vulnerable
31
what is required for whole population to be vulnerable
no one has been vaccinates no one had disease before there's no way to control spread of disease
32
R0 is NOT:
a biological constant, a rate over time, or a measure of severity
33
can R0 measure severity?
no!
34
incubation period
internal from receipt of infection to time of onset of clinical illness
35
carrier status
individual harbors organism, but isn't infected by symptoms or serologic studies CAN infect others EX: Typhoid Mary (chef infected others for years)
36
herd immunity
resistance of a group to an attack by a disease to which a large proportion of group are immune (EX: polio)