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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Bibliographic Details
Main Authors: Ricardo Muñoz-Cancino, Sebastian A. Rios, Marcel Goic, Manuel Graña
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/18/11/5507

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