Cargando…
The limits of human mobility traces to predict the spread of COVID-19: A transfer entropy approach
Mobile phone data have been widely used to model the spread of COVID-19; however, quantifying and comparing their predictive value across different settings is challenging. Their quality is affected by various factors and their relationship with epidemiological indicators varies over time. Here, we...
Autores principales: | Delussu, Federico, Tizzoni, Michele, Gauvin, Laetitia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558401/ https://www.ncbi.nlm.nih.gov/pubmed/37811338 http://dx.doi.org/10.1093/pnasnexus/pgad302 |
Ejemplares similares
-
Evidence of pandemic fatigue associated with stricter tiered COVID-19 restrictions
por: Delussu, Federico, et al.
Publicado: (2022) -
Socio-economic determinants of mobility responses during the first wave of COVID-19 in Italy: from provinces to neighbourhoods
por: Gauvin, Laetitia, et al.
Publicado: (2021) -
COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown
por: Pepe, Emanuele, et al.
Publicado: (2020) -
Quantifying the environmental limits to fire spread in grassy ecosystems
por: Cardoso, Anabelle W., et al.
Publicado: (2022) -
Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models
por: Panigutti, Cecilia, et al.
Publicado: (2017)