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Exponentially Increasing Trend of Infected Patients with COVID-19 in Iran: A Comparison of Neural Network and ARIMA Forecasting Models

BACKGROUND: The outbreak of COVID-19 is rapidly spreading around the world and became a pandemic disease. For help to better planning of interventions, this study was conducted to forecast the number of daily new infected cases with COVID-19 for next thirty days in Iran. METHODS: The information of...

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Detalles Bibliográficos
Autores principales:	MOFTAKHAR, Leila, SEIF, Mozhgan, SAFE, Marziyeh Sadat
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Tehran University of Medical Sciences 2020
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266002/ https://www.ncbi.nlm.nih.gov/pubmed/34268211 http://dx.doi.org/10.18502/ijph.v49iS1.3675

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