9 - Methods in epidemiology Flashcards

1
Q

Qualitative research

A
  • Tends to focus on words instead of numbers
  • Inductive view (generating new theories from the data)
  • Interpreting data rather than modelling data
  • Social properties are outcomes of the interactions between individuals
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2
Q

Main research methods

A
  • Participant observation (ethnography)
  • Qualitative interviewing
  • Focus group
  • Language-based (including discourse analysis and conversation analysis)
  • Documents-based analysis
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3
Q

The main steps in qualitative research

A
  1. Define the main research question
  2. Selection of the relevant site(s) and subjects
  3. Collection of relevant data
  4. Interpretation of the data
  5. Conceptual and theoretical work (grounded theory)
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4
Q

Accuracy

A
  • Reliability (external = replicability, very difficult; internal = more than one investigators)
  • Validity (external = can results be generalized? internal = did other researchers came with the same conclusions?)
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5
Q

Limitations of Qualitative Approaches

A

· The problem of adequate validity or reliability is a major criticism.
· Context can’t be replicated to any extent/generalisations be made to a wider context than the one studied.
· Time required for data collection, analysis and interpretation is lengthy.
· The researcher’s presence has a profound effect on the subjects of study.
· Issues of anonymity and confidentiality present problems when selecting findings.
· The viewpoints of both researcher and participants have to be identified and elucidated because of issues of bias.

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6
Q

Strengths of qualitative approaches

A

· researcher gains an insider’s view of the field.
· Qualitative descriptions can play the important role of suggesting possible relationships, causes, effects and dynamic processes.
· Because statistics are not used, but rather qualitative research uses a more descriptive, narrative style, this research might be more accessible.

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7
Q

Epidemics

A
  • Outbreaks are often explosive, with long tails
  • Can persist in some circumstances (endemic)
  • Reintroductions
  • Seasonal patterns
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8
Q

Epidemiology – life history of infection

A
  • Timings are pathogen-specific, and may be affected by host health
  • The point at which an infected individual is registered as a case may be many days following their infection date
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9
Q

What can modelling be used for?

A
  1. understanding (explanation)
  2. epidemic analysis
  3. forecasting/ nowcasting
  4. optimising control (prediction)
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10
Q
  1. understanding (explanation)
A

– Elucidate mechanism

– Estimate key biological / epidemiological parameters

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11
Q
  1. epidemic analysis
A

– Is current control working?

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12
Q
  1. forecasting / nowcasting
A

– Epidemic prediction

– Estimating hidden cases

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13
Q
  1. optimising control (prediction)
A

– Identifying most effective strategy with limited resources

– Identifying most cost-effective strategies

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14
Q

The SIR model

A
• Individuals belong to one of three disease states: 
– Susceptible
– Infected
– Recovered, or removed
• Infected individuals infect susceptible individuals
• Infected individuals recover
𝑁 = population size
𝛽 (beta) = transmission rate
𝛾(gamma) = recovery rate
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15
Q

Susceptible

A

dS/ dt = −𝛽𝑆 (𝑡) x 𝐼(𝑡)/N

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16
Q

Infectious

A

dI/dt = −𝛽𝑆 (𝑡) x 𝐼(𝑡)/N − 𝛾𝐼(𝑡)

17
Q

Recovered

A

dR/dt = dI/dt = 𝛾𝐼(𝑡)

18
Q

𝑹𝟎 – the basic reproduction number

A

• The average number of cases generated by a single infected individual introduced into a totally susceptible population.
𝑅0 =𝛽/𝛾
• Knowing 𝑅0 allows us to estimate the final epidemic size of an outbreak and how hard it will be to control

19
Q

R0 meanings

A
  • If 𝑅0 < 1 : the epidemic will die out
  • If 𝑅0 = 1 : endemicity
  • If 𝑅0 > 1 : the epidemic will take off