id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-031035-yixlsymd	Poom, Age	COVID-19 is spatial: Ensuring that mobile Big Data is used for social good	2020-08-27		.txt	text/plain	3920	209	47	Examples include, e.g., analysis on population mobility and commuting (Ahas et al., 2015; J€ arv et al., 2012) , detecting functional economic regions (Novak et al., 2013; OECD, 2020) , the provision and accessibility to state services (J€ arv et al., 2018) , identifying migration flows (Kamenjuk et al., 2017) and cross-border mobility (Silm et al., 2020a) , analyzing (in)equity between population groups and spatial segregation (Mooses et al., 2016; Shelton et al., 2015; Silm et al., 2018) , supporting transport solutions (Positium, 2019) and environmental management (Heikinheimo et al., 2020; Poom et al., 2017) , characterizing tourist behavior (Campagna et al., 2015; Raun et al., 2016; Saluveer et al., 2020) , or reflecting the lived experiences of people in case of disruptions (Shelton et al., 2014) . While much of the data in statistical offices are transparent, accessible and stable, they are less useful for studying the mobility and activity spaces of people especially in fastchanging phenomenon like the COVID-19 pandemic.	./cache/cord-031035-yixlsymd.txt	./txt/cord-031035-yixlsymd.txt