Cargando…
Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis
A surge of interest has been noted in the use of mobility data from mobile phones to monitor physical distancing and model the spread of severe acute respiratory syndrome coronavirus 2, the virus that causes COVID-19. Despite several years of research in this area, standard frameworks for aggregatin...
Autores principales: | Kishore, Nishant, Kiang, Mathew V, Engø-Monsen, Kenth, Vembar, Navin, Schroeder, Andrew, Balsari, Satchit, Buckee, Caroline O |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462565/ https://www.ncbi.nlm.nih.gov/pubmed/32905027 http://dx.doi.org/10.1016/S2589-7500(20)30193-X |
Ejemplares similares
-
A standardised differential privacy framework for epidemiological modeling with mobile phone data
por: Savi, Merveille Koissi, et al.
Publicado: (2023) -
The impact of mobility network properties on predicted epidemic dynamics in Dhaka and Bangkok
por: Brown, Tyler S., et al.
Publicado: (2021) -
Time-aggregated mobile phone mobility data are sufficient for modelling influenza spread: the case of Bangladesh
por: Engebretsen, Solveig, et al.
Publicado: (2020) -
Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study
por: Kishore, Nishant, et al.
Publicado: (2022) -
Incorporating human mobility data improves forecasts of Dengue fever in Thailand
por: Kiang, Mathew V., et al.
Publicado: (2021)