Biases in human mobility data impact epidemic modeling

F Schlosser, V Sekara, D Brockmann… - arXiv preprint arXiv …, 2021 - arxiv.org
Large-scale human mobility data is a key resource in data-driven policy making and across
many scientific fields. Most recently, mobility data was extensively used during the COVID …

Leveraging mobile phone data for migration flows

M Luca, G Barlacchi, N Oliver, B Lepri - arXiv preprint arXiv:2105.14956, 2021 - arxiv.org
Statistics on migration flows are often derived from census data, which suffer from intrinsic
limitations, including costs and infrequent sampling. When censuses are used, there is …

Mobile phone data for anticipating displacements: practices, opportunities, and challenges

B Aydoğdu, Ö Bilgili, S Güneş, AA Salah - Data & Policy, 2025 - cambridge.org
The global number of individuals experiencing forced displacement has reached its highest
level in the past decade. In this context, the provision of services for those in need requires …

Complex systems for the most vulnerable

E Omodei, M Garcia-Herranz, D Paolotti… - Journal of Physics …, 2022 - iopscience.iop.org
In a rapidly changing world, facing an increasing number of socioeconomic, health and
environmental crises, complexity science can help us to assess and quantify vulnerabilities …

[图书][B] Human Mobility and Infectious Disease Dynamics

F Schlosser - 2023 - search.proquest.com
The Covid-19 pandemic demonstrated how strongly infectious disease spread is driven by
the dynamics of human mobility. At the same time, the ongoing explosion of available …

[PDF][PDF] Future Directions in Human Mobility Science

L Alessandretti - orbit.dtu.dk
We provide a brief review of human mobility science and present three key areas where we
expect to see substantial advancements. We start from the mind and discuss the need to …