Comparison of Conventional Modeling Techniques with the Neural Network Autoregressive Model (NNAR): Application to COVID‐19 Data

M Daniyal, K Tawiah, S Muhammadullah… - Journal of …, 2022 - Wiley Online Library
The coronavirus disease 2019 (COVID‐19) pandemic continues to destroy human life
around the world. Almost every country throughout the globe suffered from this pandemic …

On the implementation of the artificial neural network approach for forecasting different healthcare events

HM Alshanbari, H Iftikhar, F Khan, M Rind, Z Ahmad… - Diagnostics, 2023 - mdpi.com
The rising number of confirmed cases and deaths in Pakistan caused by the coronavirus
have caused problems in all areas of the country, not just healthcare. For accurate policy …

Application of ARIMA and artificial neural networks models for daily cumulative confirmed COVID-19 prediction in Nigeria

S Suleiman, M Sani - Equity Journal of Science and Technology, 2021 - equijost.com
Coronavirus 2019, commonly referred to as COVID-19, is a disease discovered in China
towards the end of December 2019. This novel and highly infectious virus spreads rapidly …

[HTML][HTML] ARIMA and NAR based prediction model for time series analysis of COVID-19 cases in India

FM Khan, R Gupta - Journal of Safety Science and Resilience, 2020 - Elsevier
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 …

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 …

[PDF][PDF] Hybrid neural network prediction for time series analysis of COVID-19 cases in Nigeria

AF Adedotun - Journal of Intelligent Management Decision, 2022 - library.acadlore.com
The lethal coronavirus illness (COVID-19) has evoked worldwide discussion. This
contagious, sometimes fatal illness, is caused by the severe acute respiratory syndrome …

A hybrid of artificial neural network, exponential smoothing, and ARIMA models for COVID-19 time series forecasting

SK Safi, OI Sanusi - Model Assisted Statistics and Applications, 2021 - content.iospress.com
Abstract The Auto Regressive Integrated Moving Average (ARIMA) model seems not to
easily capture the nonlinear patterns exhibited by the 2019 novel coronavirus (COVID-19) in …

Modeling COVID-19 confirmed cases using a hybrid model

S Tajmouati, B El Wahbi… - Advances in Decision …, 2022 - search.proquest.com
Purpose: The COVID-19 virus has caused numerous problems worldwide. Given the
negative effects of COVID-19, this study aims to estimate accurate forecasts of the number of …

[HTML][HTML] Implementation of stacking based ARIMA model for prediction of Covid-19 cases in India

A Swaraj, K Verma, A Kaur, G Singh, A Kumar… - Journal of biomedical …, 2021 - Elsevier
Background Time-series forecasting has a critical role during pandemics as it provides
essential information that can lead to abstaining from the spread of the disease. The novel …

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 …