Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19

The COVID-19 pandemic affected the whole world, but not all countries were impacted equally. This opens the question of what factors can explain the initial faster spread in some countries compared to others. Many such factors are overshadowed by the effect of the countermeasures, so we studied the...

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Detalles Bibliográficos
Autores principales: Janko, Vito, Slapničar, Gašper, Dovgan, Erik, Reščič, Nina, Kolenik, Tine, Gjoreski, Martin, Smerkol, Maj, Gams, Matjaž, Luštrek, Mitja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268491/
https://www.ncbi.nlm.nih.gov/pubmed/34201618
http://dx.doi.org/10.3390/ijerph18136750

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268491/
https://www.ncbi.nlm.nih.gov/pubmed/34201618
http://dx.doi.org/10.3390/ijerph18136750

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