Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks
AI Saba, AH Elsheikh - Process safety and environmental protection, 2020 - Elsevier
Abstract SARS-CoV-2 (COVID-19) is a new Coronavirus, with first reported human infections
in late 2019. COVID-19 has been officially declared as a universal pandemic by the World …
in late 2019. COVID-19 has been officially declared as a universal pandemic by the World …
Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia
COVID-19 outbreak has become a global pandemic that affected more than 200 countries.
Predicting the epidemiological behavior of this outbreak has a vital role to prevent its …
Predicting the epidemiological behavior of this outbreak has a vital role to prevent its …
[HTML][HTML] Exponentially increasing trend of infected patients with COVID-19 in Iran: a comparison of neural network and ARIMA forecasting models
L Moftakhar, S Mozhgan, MS Safe - Iranian Journal of Public …, 2020 - ncbi.nlm.nih.gov
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 …
a pandemic disease. For help to better planning of interventions, this study was conducted to …
[HTML][HTML] COVID-19 prevalence forecasting using autoregressive integrated moving average (ARIMA) and artificial neural networks (ANN): case of Turkey
A local outbreak of unknown pneumonia was detected in Wuhan (Hubei, China) in
December 2019. It is determined to be caused by a severe acute respiratory syndrome …
December 2019. It is determined to be caused by a severe acute respiratory syndrome …
[HTML][HTML] ARIMA and NAR based prediction model for time series analysis of COVID-19 cases in India
In this paper, we have applied the univariate time series model to predict the number of
COVID-19 infected cases that can be expected in upcoming days in India. We adopted an …
COVID-19 infected cases that can be expected in upcoming days in India. We adopted an …
Nonlinear neural network based forecasting model for predicting COVID-19 cases
S Namasudra, S Dhamodharavadhani… - Neural processing …, 2023 - Springer
The recent COVID-19 outbreak has severely affected people around the world. There is a
need of an efficient decision making tool to improve awareness about the spread of COVID …
need of an efficient decision making tool to improve awareness about the spread of COVID …
Machine learning approaches for covid-19 forecasting
O Istaiteh, T Owais, N Al-Madi… - … conference on intelligent …, 2020 - ieeexplore.ieee.org
COVID-19 (Coronavirus) pandemic tends to be one of the most global serious issues in the
last century. Furthermore, the world did not face any similar experience regarding the spread …
last century. Furthermore, the world did not face any similar experience regarding the spread …
[HTML][HTML] Deep learning model for forecasting COVID-19 outbreak in Egypt
M Marzouk, N Elshaboury, A Abdel-Latif… - Process Safety and …, 2021 - Elsevier
Abstract The World Health Organization has declared COVID-19 as a global pandemic in
early 2020. A comprehensive understanding of the epidemiological characteristics of this …
early 2020. A comprehensive understanding of the epidemiological characteristics of this …
Application of artificial neural networks to predict the COVID-19 outbreak
HR Niazkar, M Niazkar - Global Health Research and Policy, 2020 - Springer
Background Millions of people have been infected worldwide in the COVID-19 pandemic. In
this study, we aim to propose fourteen prediction models based on artificial neural networks …
this study, we aim to propose fourteen prediction models based on artificial neural networks …
Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review
COVID-19 has produced a global pandemic affecting all over of the world. Prediction of the
rate of COVID-19 spread and modeling of its course have critical impact on both health …
rate of COVID-19 spread and modeling of its course have critical impact on both health …