Immediate and informative feedback during a pandemic: Using stated preference analysis to predict vaccine uptake...

Area of Science:

• Public Health
• Health Economics
• Behavioral Science

Background:

• Emerging pandemics necessitate rapid data on public risk perception and mitigation strategy preferences, like vaccination.
• Traditional survey methods face challenges during outbreaks due to social distancing and financial stress, particularly in developing nations.
• Timely information is vital for effective vaccination campaign design to achieve herd immunity.

Purpose of the Study:

• To propose a protocol for rapid, sensitive, web-based surveys to inform public health policy during pandemics.
• To assess factors influencing vaccination decisions in Latin America during the COVID-19 pandemic.
• To evaluate the impact of vaccine cost, duration of immunity, and effectiveness on public acceptance.

Main Methods:

• Developed a protocol emphasizing sensitive survey design, web-based approaches, and respondent uncertainty adjustments.
• Conducted a regional study across 16 Latin American countries shortly after COVID-19 index cases.
• Employed a split-sample, contingent valuation method to analyze vaccine attribute preferences.

Main Results:

• Vaccine cost and duration of immunity were significant determinants of vaccination decisions.
• Vaccine effectiveness was largely insignificant unless it reached 100%.
• Individual income, perceived virus risk, and severity also played crucial roles in vaccine acceptance.

Conclusions:

• Web-based surveys offer a feasible alternative for collecting critical public health data during crises.
• Vaccination campaign strategies must consider economic factors and perceived longevity of protection.
• Tailoring public health interventions requires understanding socioeconomic and risk perception influences on health behaviors.