Covid lecture 21 Flashcards
Factors influencing response to pandemics
How transmissible
severity
Controllability
how certain is the information and how stable is the threat
How do we choose a response strategy
can either do:
no public health strategy
control: reduce incidence/ prevalence
eliminate: reduce to zero in country or region
what is the basic reproductive number
mean number of infections directly generated by 1 case where all individuals are susceptible to infection
How would you measure the success of your Pandemic response
what the epidemic curve is doing.
Population level looking at the death rate
MEasuring the economic impact
What is the key parameter that drives protection/ herd immunity
the reproductive number
disinformation
deliberate try to provide false information
disinformation can kill
How will we know when the pandemic ends?
Control - endemic infection
Progressive elimination
reduce to zero.
Lessons for improving public health
- improving evidence informed decision making
- adapt responses to future threats
- build effective public health infrastructure
- supporting effective global health institutions
- seizing public health opportunities
Implications of using big data
Control over your data
Anonymity is not guaranteed
Bias
3 key areas for big data presents
data governance
Data generation
Data output
Deterministic methods of Data linkage
exact matches of personal information
probablistic
probabilistic method of Data linkage
uses statistical weights for data that may not exactly match
Strengths of IMD
uses IDI- includes more people than the census
Explores drivers of deprevation
better small area information
forms more specific solutions
Weaknesses of IMD
IDI is a transactional dataset
Stregths of NZDEP
weights the domains
widespread and well known to analysts and policy makers
