1. Wesolowski, A., Buckee, C. O., Bengtsson, L., Wetter, E., Lu, X., & Tatem, A. J. (2014). Commentary: containing the Ebola outbreakthe potential and challenge of mobile network data. PLoS currents, 6. DOI: 10.1371/currents.outbreaks.0177e7fcf52217b8b634376e2f3efc5e
2. Buckee, C. O., Balsari, S., Chan, J., Crosas, M., Dominici, F., Gasser, U., ... & Schroeder, A. (2020). Aggregated mobility data could help fight COVID-19. Science (New York, NY), 368(6487), 145-146. DOI: 10.1126/science.abb8021
3. Wellenius, G. A., Vispute, S., Espinosa, V., Fabrikant, A., Tsai, T. C., Hennessy, J., ... & Gabrilovich, E. (2020). Impacts of state-level policies on social distancing in the United States using aggregated mobility data during the COVID-19 pandemic. arXiv preprint arXiv:2004.10172. DOI: 10.1038/s41467-021-23404-5
4. Nouvellet, P., Bhatia, S., Cori, A. et al. Reduction in mobility and COVID-19 transmission. Nat Commun 12, 1090 (2021). 10.1038/s41467-021-21358-2 DOI: 10.1038/s41467-021-21358-2
5. Hao, Q., Chen, L., Xu, F., & Li, Y. (2020, August). Understandingthe Urban Pandemic Spreading of COVID-19 with Real World Mobility Data. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 3485-3492). DOI: 10.1145/3394486.3412860
6. Huang, J., Wang, H., Fan, M., Zhuo, A., Sun, Y., & Li, Y. (2020, August). Understanding the impact of the COVID-19 pandemic on transportationrelated behaviors with human mobility data. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 3443-3450). DOI: 10.1145/3394486.3412856
7. Campos-Vazquez, R. M., & Esquivel, G. (2021). Consumption and geographic mobility in pandemic times. Evidence from Mexico. Review of Economics of the Household, 1-19. DOI: 10.1007/s11150-020-09539-2
8. Micheli, D., Muratore, G., Vannelli, A., & Sola, G. (2020). Un modello dinamico su un approccio Big- Data alla mobilità per lo studio della diffusione del COVID-19 nel nord Italia, Notiziario tecnico n.1-2020.
9. Buckee, C. O., Balsari, S., Chan, J., Crosas, M., Dominici, F., Gasser, U., ... & Schroeder, A. (2020). Aggregated mobility data could help fight COVID-19. Science (New York, NY), 368(6487), 145-146. DOI: 10.1126/science.abb8021
10. Oliver, N, Lepri, B, Sterly, H, et al.(2020). Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances 6(23): eabc0764 DOI: 10.1126/sciadv.abc0764
11. Kitchin, R. (2014). Big Data, new epistemologies and paradigm shifts. Big data & society, 1(1). DOI: 10.1177/2053951714528481

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