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Pharmaco-Economic Model for Dengue Vaccine: A New Approach Towards Affordability and Cost Effectiveness

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With two billion people vulnerable, about 80 million dengue infections occur annually with 20000 to 30000 deaths. Pharmaco-economic models for quantifying cost-effective price of vaccine are useful tools for policy decision. We review in this paper dengue economic burdens and pharmaco-economic models, with particular reference to cost-effectiveness, based upon WHO guidelines that use Gross Domestic Product as a basis for valuation. Cost-effective price varies significantly, across and within nations. A major weakness in current pharmaco-economic models is the omission of cost of vaccine production, which is two order of magnitude lower than cost-effective prices. For example, the cost of production of dengue vaccine is estimated at US$0.50 per dose, while the cost-effective price estimated from current model is US$95 for Singapore. This paper proposes a modified model that yields a highly cost-effective price of US$5 per dose for Malaysia.

Keywords: DALY; Pharmaco-Economics; Vaccine

Document Type: Research Article

Affiliations: 1: Sunway University Business School, Jalan Universiti, Bandar Sunway, 47500 Selangor, Malaysia 2: School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Pulau Pinang, Malaysia 3: Malaysian Ministry of Health, Head, Division of Public Health, Malaysia 4: Malaysian Ministry of Health, Deputy Director General, Malaysia

Publication date: 01 July 2018

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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