A review on COVID-19 forecasting models
Abstract The novel coronavirus (COVID-19) has spread to more than 200 countries
worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such …
worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
[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 …
Predicting COVID-19 vaccination intention: the determinants of vaccine hesitancy
Do people want to be vaccinated against COVID-19? Herd immunity is dependent on
individuals' willingness to be vaccinated since vaccination is not mandatory. Our main goal …
individuals' willingness to be vaccinated since vaccination is not mandatory. Our main goal …
Application of artificial intelligence-based regression methods in the problem of COVID-19 spread prediction: a systematic review
J Musulin, S Baressi Šegota, D Štifanić… - International journal of …, 2021 - mdpi.com
COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
Consequences of COVID-19 on banking sector index: artificial neural network model
HF Assous, D Al-Najjar - International Journal of Financial Studies, 2021 - mdpi.com
The World Health Organization officially declared COVID-19 a global pandemic on 11 March
2020. In this study, we examine the effect of COVID-19 indicators and policy response on the …
2020. In this study, we examine the effect of COVID-19 indicators and policy response on the …
Predicting the trend of indicators related to Covid-19 using the combined MLP-MC model
F Haghighat - Chaos, Solitons & Fractals, 2021 - Elsevier
Although more than a year has passed since the coronavirus outbreak globally, the Covid-
19 pandemic conditions still exist in many countries, including Iran. Predicting the number of …
19 pandemic conditions still exist in many countries, including Iran. Predicting the number of …
Artificial neural networks for short-term forecasting of cases, deaths, and hospital beds occupancy in the COVID-19 pandemic at the Brazilian Amazon
The first case of the novel coronavirus in Brazil was notified on February 26, 2020. After 21
days, the first case was reported in the second largest State of the Brazilian Amazon. The …
days, the first case was reported in the second largest State of the Brazilian Amazon. The …
A review of the potential of artificial intelligence approaches to forecasting COVID-19 spreading
The spread of SARS-CoV-2 can be considered one of the most complicated patterns with a
large number of uncertainties and nonlinearities. Therefore, analysis and prediction of the …
large number of uncertainties and nonlinearities. Therefore, analysis and prediction of the …