Evaluating Policy Approaches Under Different Types of Uncertainty
Consider two distinct challenges facing a public health agency:
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Scenario A: Deciding on the budget for the annual influenza vaccination campaign. The agency has decades of data on vaccine effectiveness, seasonal flu strains, and hospitalization rates, allowing them to reliably estimate the probability of different levels of public health impact and the associated economic costs.
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Scenario B: Formulating a response strategy for the potential emergence of a novel airborne pathogen, 'Pathogen X', which has never been seen before. Scientists cannot predict its transmissibility, severity, or when it might appear, meaning there are no reliable probabilities to assign to any potential outcome.
Critique the use of a standard economic cost-benefit analysis for policymaking in both scenarios. Justify which scenario is more suitable for this type of analysis and propose a different guiding principle for the scenario where it is less suitable.
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