Our analysis contributes to the existing literature in three aspects. First, our analysis is connected to the economics and epidemiological literature on the determinants of the spread of infectious diseases and prevention of such spread. Existing studies find that reductions in population flow (Zhan et al. 2020; Zhang et al. 2020; Fang et al. 2020) and interpersonal contact from holiday school closings (Adda 2016), reactive school closures (Litvinova et al. 2019), public transportation strikes (Godzinski and Suarez Castillo 2019), strategic targeting of travelers from high-incidence locations (Milusheva 2017), and paid sick leave to keep contagious workers at home (Barmby and Larguem 2009; Pichler and Ziebarth 2017) can mitigate the prevalence of disease transmissions. In addition, studies show viruses spread faster during economic booms (Adda 2016), increases in employment are associated with increased incidence of influenza (Markowitz et al. 2019), and growth in trade can significantly increase the spread of influenza (Adda 2016) and HIV (Oster 2012). Vaccination (Maurer 2009; White 2019) and sunlight exposure (Slusky and Zeckhauser 2018) are also found effective in reducing the spread of influenza.