Population compliance with NPIs has been observably heterogeneous and is likely dependent on sociodemographics. These non-pharmaceutical interventions (NPIs) include closing schools, border closures, domestic movement restrictions, and lockdowns (targeted and nationwide). With cases of COVID-19 increasing rapidly, no universally accepted treatment available, and vaccines many months away, most governments have implemented policies to curb transmission by reducing contact between individuals. These preliminary findings suggest that country-specific outbreak trajectory, GDP per capita, and democracy index may be important indicators in assessing a given population’s adherence to NPIs. Finally, countries with more authoritarian governments were more responsive with respect to mobility changes as local case counts increased however, these countries were also less likely to report mobility data to Google. Mobility increased with GDP per capita, though this relationship varied among movement categories. We found decreases in mobility for all movement categories except in residential areas these changes corresponded strongly with country-specific outbreak trajectory. Using Google’s Community Mobility data, we visualized changes in mobility and explored the effect of economic, social, and governmental factors on mobility via regression. The goal of NPIs – decreasing mobility in order to decrease contact – comes with competing socioeconomic costs and incentives that are not well-understood. In the absence of vaccines or therapeutics, and with cases of COVID-19 continuing to grow each day, most countries are relying on non-pharmaceutical interventions (NPIs) to reduce the spread of SARS-CoV-2.
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