Project Details
Abstract
Vaccination is the front-line of epidemic prevention, posing a crucial influence on disease
control. Mass vaccination not only provides direct effects that reduce disease incidence in
those immunized but also protects the unvaccinated against infection, which is known as
indirect effects or herd-immunity effects. Although vaccine effectiveness is a major concern,
the limited government budget and medical resources remain important for the policy
makers. Methodologies in pharmacoeconomics such as cost-effectiveness analysis (CEA)
and cost-utility analysis (CUA) are commonly used for economic evaluations of health
prevention and intervention. Moreover, the results of both CEA and CUA are shown to be
greatly affected by herd-immunity effects, a phenomenon which is difficult to quantify. In
view of this, we propose a statistical and mathematical model to quantify herd-immunity
effects using Susceptible-Infected-Recovered (SIR) model and to incorporate the results to
pharmacoeconomic analysis. Empirical data analyses will also be applied to
cost-effectiveness analysis of Pneumococcal Conjugate Vaccine (PCV) and cost-utility
analysis of Human papillomavirus (HPV) vaccine. Epidemiological and cost data related to
those two diseases are to be collected using the National Health Insurance Database, as are
systematic review and meta-analysis for parameter estimations in model-building.
Project IDs
Project ID:PC9709-0201
External Project ID:NSC97-2320-B182-004-MY3
External Project ID:NSC97-2320-B182-004-MY3
Status | Finished |
---|---|
Effective start/end date | 01/08/08 → 31/07/09 |
Keywords
- Herd-immunity effects
- Pharmacoeconomics
- Cost-effectiveness analysis
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