Non-Intrusive Assessment of COVID-19 Lockdown Follow-Up and Impact Using Credit Card Information: Case Study in Chile

In this paper, we propose and validate with data extracted from the city of Santiago, capital of Chile, a methodology to assess the actual impact of lockdown measures based on the anonymized and geolocated data from credit card transactions. Using unsupervised Latent Dirichlet Allocation (LDA) seman...

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Detalles Bibliográficos
Autores principales: Muñoz-Cancino, Ricardo, Rios, Sebastian A., Goic, Marcel, Graña, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196566/
https://www.ncbi.nlm.nih.gov/pubmed/34063860
http://dx.doi.org/10.3390/ijerph18115507

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196566/
https://www.ncbi.nlm.nih.gov/pubmed/34063860
http://dx.doi.org/10.3390/ijerph18115507

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