Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Khan, Maham Faisal"'
Autor:
Ubaldi, Enrico, Yabe, Takahiro, Jones, Nicholas K. W., Khan, Maham Faisal, Ukkusuri, Satish V., Di Clemente, Riccardo, Strano, Emanuele
Publikováno v:
Journal of Open Source Software, 9(95), 5201, 2024
Increasingly available high-frequency location datasets derived from smartphones provide unprecedented insight into trajectories of human mobility. These datasets can play a significant and growing role in informing preparedness and response to natur
Externí odkaz:
http://arxiv.org/abs/2107.14297
Autor:
Yabe, Takahiro, Jones, Nicholas K W, Lozano-Gracia, Nancy, Khan, Maham Faisal, Ukkusuri, Satish V., Fraiberger, Samuel, Montfort, Aleister
Location data obtained from smartphones is increasingly finding use cases in disaster risk management. Where traditionally, CDR has provided the predominant digital footprint for human mobility, GPS data now has immense potential in terms of improved
Externí odkaz:
http://arxiv.org/abs/2107.13590
Uncovering socioeconomic gaps in mobility reduction during the COVID-19 pandemic using location data
Autor:
Fraiberger, Samuel P., Astudillo, Pablo, Candeago, Lorenzo, Chunet, Alex, Jones, Nicholas K. W., Khan, Maham Faisal, Lepri, Bruno, Gracia, Nancy Lozano, Lucchini, Lorenzo, Massaro, Emanuele, Montfort, Aleister
Using smartphone location data from Colombia, Mexico, and Indonesia, we investigate how non-pharmaceutical policy interventions intended to mitigate the spread of the COVID-19 pandemic impact human mobility. In all three countries, we find that follo
Externí odkaz:
http://arxiv.org/abs/2006.15195