id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-331336-4kf2jn8c	Aravindakshan, A.	Restarting after COVID-19: A Data-driven Evaluation of Opening Scenarios	2020-05-30		.txt	text/plain	3998	206	55	By combining the model with measures of policy contributions on mobility reduction, we forecast scenarios for relaxing various types of NPIs. Our model finds that, in Germany, policies that mandated contact restrictions (e.g., movement in public space limited to two persons or people co-living), initial business closures (e.g., restaurant closures), stay-at-home orders (e.g., prohibition of non-essential trips), non-essential services (e.g., florists, museums) and retail outlet closures led to the sharpest drops in movement within and across states. Nevertheless, to the best of our knowledge, no study quantifies the effects of the types and timings of the implementation and relaxation of government policy interventions in reducing mobility and in turn decreasing the spread of COVID-19. Using data from the 16 states of Germany, we explore the effectiveness of different NPIs ( Figure 3 ) in reducing social mobility, and in turn affecting the spread of the disease.	./cache/cord-331336-4kf2jn8c.txt	./txt/cord-331336-4kf2jn8c.txt