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The European Journal of Health Economics
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Willingness to pay for an early warning system for infectious diseases

Authors: Himmler, Sebastian; van Exel, Job; Perry-Duxbury, Meg; Brouwer, Werner;

Willingness to pay for an early warning system for infectious diseases

Abstract

Early warning systems for infectious diseases and foodborne outbreaks are designed with the aim of increasing the health safety of citizens. As a first step to determine whether investing in such a system offers value for money, this study used contingent valuation to estimate people’s willingness to pay for such an early warning system in six European countries. The contingent valuation experiment was conducted through online questionnaires administered in February to March 2018 to cross-sectional, representative samples in the UK, Denmark, Germany, Hungary, Italy, and The Netherlands, yielding a total sample size of 3140. Mean willingness to pay for an early warning system was €21.80 (median €10.00) per household per month. Pooled regression results indicate that willingness to pay increased with household income and risk aversion, while they decreased with age. Overall, our results indicate that approximately 80–90% of people would be willing to pay for an increase in health safety in the form of an early warning system for infectious diseases and food-borne outbreaks. However, our results have to be interpreted in light of the usual drawbacks of willingness to pay experiments. Electronic supplementary material The online version of this article (10.1007/s10198-020-01171-2) contains supplementary material, which is available to authorized users.

Country
Netherlands
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Subjects by Vocabulary

Microsoft Academic Graph classification: medicine.medical_specialty Willingness to pay Environmental health medicine Contingent valuation Health economics Warning system Risk aversion Public health Household income Early warning system Business

Keywords

Adult, Male, Cross-country comparison, Economics, Econometrics and Finance (miscellaneous), Communicable Diseases, Infectious disease outbreaks, Early warning system, Willingness to pay, Contingent valuation, Cross-country comparison, Disease Outbreaks, SDG 3 - Good Health and Well-being, Infectious disease outbreaks, Early warning system, Surveys and Questionnaires, EMC NIHES-05-63-02 Quality, Healthcare Financing, Humans, Willingness to pay, Contingent valuation, Aged, Original Paper, I18, Health Policy, Middle Aged, Patient Acceptance of Health Care, Europe, H41, Female, Sentinel Surveillance

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    21
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
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