Detecting Disease in a Population Flashcards

1
Q

what are 3 considerations for diagnostic testing of an individual

A
  1. pathogen of concern
    -hx, CS
    -differential list
  2. available tests: how those tests are interpreted
  3. feasibility of testing:
    -cost, ability to collect samples
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2
Q

what are the general types of tests?

A
  1. molecular or genetic material: PCR, RNA seq
  2. immunoassays: antigen/antibody, serology, ELISA, SNAP, etc.
  3. chemical/minerals: heavy metals, renal calculi, selenium
  4. organic compounds: vitamins, toxins, mass spec, chromatography
  5. live/viable things: virus isolation, culture and sensitivity
  6. pathology tests: cytology, biopsy, necropsy
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3
Q

which tests directly assess for a pathogen? which test for the secondary effect of the infection/condition?

A

Directly assess for pathogen:
1. PCR: genetic material
2. antigen-binding immunoassays
3. culture/viral isolation
4. parasitology

secondary effect:
1. antibody response- DELAYED
2. indicative pathology/biochem
3. clinical picture

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4
Q

what are things to consider when developing a diagnostic plan?

A
  1. goal:
    -determine extent of outbreak
    -surveillance: catch outbreaks early
    -eradication programs
  2. population characteristics;
    -size, ages, housing, vaccination
    -at risk population
    -housing factors that could impact transmission
  3. pathogens of concern
  4. available tests: how they are interpreted too
  5. feasibility of testing: cost and ability to collect samples (are animals readily available?)
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5
Q

describe a surveillance program

A

surveillance = data collection + regular intervals + plan of action

general considerations:
1. rigor: minimal vs comprehensive
2. types and considerations:
-active vs. passive
-lab based vs syndromic
-whole population vs targeted

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6
Q

describe active surveillance

A
  1. conducted to find outcome or indicators of interest as part of a formal surveillance effort/program
  2. pros:
    -primary data source
    -accurate and complete
    -rep of a larger population
  3. cons: expensive and time consuming
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7
Q

describe passive surveillance

A
  1. uses info and/or samples collected for another purpose
  2. pros:
    -easy, inexpensive, access to samples
  3. cons:
    -secondary data
    -limited by data quality
    -may not be representative of larger population
    -subject to under reporting
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8
Q

describe laboratory based surveillance

A
  1. rely on diagnostic testing for definitive diagnosis
  2. pros: def dx
  3. cons: expensive and time consuming
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9
Q

describe syndrome surveillance

A
  1. focuses on non-specific indicators of disease that are present before definitive diagnosis

pros: easy and inexpensive

cons: no lab dx, non-specific indicators of disease

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10
Q

describe targeted/risk-based surveillance

A
  1. focused efforts on previously identified hazards or known risk factors for a particular outcome

pros:
-accurate
-focused on population of concern
-helpful in capturing previously identified risks

cons:
-time consuming, expensive
-not all inclusive
-only effective for known risks (need a framework)
-unlikely to ID emerging diseases unless designed for that purpose

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11
Q

describe non-probability sampling versus probability sampling

A

non-probability sampling: based on selection criteria
-consecutive sample: selected based on availability
-convenience sample: selected based on ease of access
-judgement sample: selected based on researcher’s judgement of who is best suited

probability sampling:
-simple random sample
-stratified random sample
-cluster sampling
-multistage sampling (2 stage cluster sampling)

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12
Q

describe a simple random sample

A

each individual in the population has an equal and known probability of being selected for the sample

ex. randomly select 10% of the population

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13
Q

describe stratified sampling

A

subgroups of the population are sampled independently

ex. randomly select 3 from each group or strata in a population

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14
Q

describe cluster sampling

A

the sampling unit is a group rather than an individual

ex. randomly select 3 groups in a population

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15
Q

describe multistage sampling (2 stage cluster sampling)

A

randomly select 3 groups in a population then randomly select 3 individuals from each group

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