Spatio-temporal modeling of COVID-19 prevalence and mortality using artificial neural network algorithms

The outbreak of coronavirus disease (COVID-19) has become one of the most challenging global concerns in recent years. Due to inadequate worldwide studies on spatio-temporal modeling of COVID-19, this research aims to examine the relative significance of potential explanatory variables (n = 75) conc...

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Detalles Bibliográficos
Autores principales: Kianfar, Nima, Mesgari, Mohammad Saadi, Mollalo, Abolfazl, Kaveh, Mehrdad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580864/
https://www.ncbi.nlm.nih.gov/pubmed/35120681
http://dx.doi.org/10.1016/j.sste.2021.100471

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580864/
https://www.ncbi.nlm.nih.gov/pubmed/35120681
http://dx.doi.org/10.1016/j.sste.2021.100471

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