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. 2022 Feb 15;26(4):677–706. doi: 10.1007/s10707-021-00460-z

Table 1.

Comparison of mobility studies based on OSN. The number in brackets in the Location column indicates the number of entities under study. Acronyms: MPL: mobile-phone location data; PTD: Public Transport data

Ref. Goal Datasources Granularity level Location Setting Validation method COVID-19 related
[5] Predict the spread of SARS-CoV-2 through the analysis of geolocated tweets TWT Inter-countries Worldwide none yes
[4] Prediction of the spatiotemporal spread of infectious diseases using social media data TWT Inter-city China none yes
[6] Early epidemic predictions PTD Intra-city Fortaleza (Brazil) OD and time series comparison no
[29] Estimation of commuting trip distribution TWT & census tracts Intra-city New York none no
[1] Detection of population’s spatio-temporal and demographic features TWT Intra-city Chicago Census and activity centers data no
[25] Natural disaster detection TWT Inter-cities N/A none no
[30] Spatial distribution of the worldwide population TWT Inter-countries Worldwide Statistical methods no
[20] Human mobility study TWT & travel surveys Intra-city New York Statistical methods no
[19] Human mobility study TWT & MPL Nation-wide Australia Statistical methods no
[17] Human mobility study TWT & MPL Nation-wide USA Statistical methods yes
[15] Human mobility study TWT & demographics Worldwide - Statistical methods no
[31] Use of telephone antenna signals to establish human relationships between geographic areas MLP Inter-cities Chile Graph Clustering no
Our approach Human mobility study TWT & MPL Nation-wide Spain OD and time series comparison yes