9 - Methods in epidemiology Flashcards
Qualitative research
- 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
Main research methods
- Participant observation (ethnography)
- Qualitative interviewing
- Focus group
- Language-based (including discourse analysis and conversation analysis)
- Documents-based analysis
The main steps in qualitative research
- Define the main research question
- Selection of the relevant site(s) and subjects
- Collection of relevant data
- Interpretation of the data
- Conceptual and theoretical work (grounded theory)
Accuracy
- 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?)
Limitations of Qualitative Approaches
· 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.
Strengths of qualitative approaches
· 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.
Epidemics
- Outbreaks are often explosive, with long tails
- Can persist in some circumstances (endemic)
- Reintroductions
- Seasonal patterns
Epidemiology – life history of infection
- 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
What can modelling be used for?
- understanding (explanation)
- epidemic analysis
- forecasting/ nowcasting
- optimising control (prediction)
- understanding (explanation)
– Elucidate mechanism
– Estimate key biological / epidemiological parameters
- epidemic analysis
– Is current control working?
- forecasting / nowcasting
– Epidemic prediction
– Estimating hidden cases
- optimising control (prediction)
– Identifying most effective strategy with limited resources
– Identifying most cost-effective strategies
The SIR model
• 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
Susceptible
dS/ dt = −𝛽𝑆 (𝑡) x 𝐼(𝑡)/N