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

•The relative importance of influential variables on COVID-19 varies over time.•Unemployment and population density are highly correlated with COVID-19 prevalence.•Regarding COVID-19 mortality, diabetes is an influential variable worldwide.•Neural network algorithms can estimate the importance of va...

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Veröffentlicht in:	Spatial and spatio-temporal epidemiology Jg. 40; S. 100471
Hauptverfasser:	Kianfar, Nima, Mesgari, Mohammad Saadi, Mollalo, Abolfazl, Kaveh, Mehrdad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier Ltd 01.02.2022
Schlagworte:	Algorithms Artificial neural network COVID-19 GIS Humans Neural Networks, Computer Prevalence SARS-CoV-2 Spatio-temporal analysis Variable importance analysis COVID-19 GIS Spatio-temporal analysis Artificial neural network Variable importance analysis
ISSN:	1877-5845, 1877-5853, 1877-5853
Online-Zugang:	Volltext
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