Honors Capstone Project
Date of Submission
Capstone Prize Winner
Won Capstone Funding
Behavioral Economics | Economics | Other Economics
This paper uses Poisson and ordinary least squares (OLS) regression techniques on panel data from the United Nations World Health Organization’s FluNet to evaluate factors contributing to a country’s H1N1 influenza (swine flu) pandemic outcomes. Countries with higher development (as measured by gross domestic product and the United Nations Human Development Program’s development index) and higher mean annual temperature (as measured in the capital city) tended to have an earlier first reporting of cases. Though subject to reporting biases, the results also suggest that mass vaccinations have a negative effect on weekly reported cases. Countries that would vaccinate in the future (after the vaccine was developed) had on average six times the weekly case reports of countries that wouldn’t vaccinate. Other policies tested (thermal scanners at entry points, flight bans, and pork bans) showed no consistent negative result.
Zilora, Melanie A., "Preventing Pandemics: Contributing Factors to Susceptibility During the H1N1 Pandemic" (2011). Honors Capstone Projects - All. 288.
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