The data contained in this map displays county level changes in the rates of mobility and staying put, which can allow people to understand the degree to which their communities may be adopting physical distancing efforts.
Nowcasting for Real-Time COVID-19 Tracking in New York City: An Evaluation Using Reportable Disease Data From Early in the Pandemic
Published in JMIR Public Health and Surveillance, 7(1), e25538
January 15, 2021 by Greene, S. K., McGough, S. F., Culp, G. M., Graf, L. E., Lipsitch, M., Menzies, N. A., & Kahn, R.
Published in Nature Communications, 12(1), 311
January 12, 2021 by Menkir, T. F., Chin, T., Hay, J. A., Surface, E. D., De Salazar, P. M., Buckee, C. O., Watts, A., Khan, K., Sherbo, R., Yan, A. W. C., Mina, M. J., Lipsitch, M., & Niehus, R.
Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis
Published in The Lancet Digital Health
November 1, 2020 by Kishore, N., Kiang, M. V., Engø-Monsen, K., Vembar, N., Schroeder, A., Balsari, S., & Buckee, C. O.