Multivariate data driven prediction of COVID-19 dynamics: Towards new results with temperature, humidity and air quality data

Since the start of the COVID-19 pandemic many studies investigated the correlation between climate variables such as air quality, humidity and temperature and the lethality of COVID-19 around the world. In this work we investigate the use of climate variables, as additional features to train a data-...

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Detalles Bibliográficos
Autores principales: Aragão, Dunfrey P., Oliveira, Emerson V., Bezerra, Arthur A., dos Santos, Davi H., da Silva Junior, Andouglas G., Pereira, Igor G., Piscitelli, Prisco, Miani, Alessandro, Distante, Cosimo, Cuno, Jordan S., Conci, Aura, Gonçalves, Luiz M.G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577104/
https://www.ncbi.nlm.nih.gov/pubmed/34767822
http://dx.doi.org/10.1016/j.envres.2021.112348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577104/
https://www.ncbi.nlm.nih.gov/pubmed/34767822
http://dx.doi.org/10.1016/j.envres.2021.112348

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