A review on COVID-19 forecasting models
I Rahimi, F Chen, AH Gandomi - Neural Computing and Applications, 2023 - Springer
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 …
Epidemiological characteristics of COVID-19: a systematic review and meta-analysis
Our understanding of the Coronavirus disease 2019 (COVID-19) continues to evolve and
there are many unknowns about its epidemiology. This study aims to synthesise case fatality …
there are many unknowns about its epidemiology. This study aims to synthesise case fatality …
Industry 4.0 technologies and their applications in fighting COVID-19 pandemic
Background and aims COVID 19 (Coronavirus) pandemic has created surge demand for
essential healthcare equipment, medicines along with the requirement for advance …
essential healthcare equipment, medicines along with the requirement for advance …
Estimation of COVID-19 prevalence in Italy, Spain, and France
Z Ceylan - Science of The Total Environment, 2020 - Elsevier
At the end of December 2019, coronavirus disease 2019 (COVID-19) appeared in Wuhan
city, China. As of April 15, 2020,> 1.9 million COVID-19 cases were confirmed worldwide …
city, China. As of April 15, 2020,> 1.9 million COVID-19 cases were confirmed worldwide …
Prediction of COVID-19 corona virus pandemic based on time series data using support vector machine
Predicting the probability of CORONA virus outbreak has been studied in recent days, but
the published literature seldom contains multiple model comparisons or predictive analysis …
the published literature seldom contains multiple model comparisons or predictive analysis …
Investigating a serious challenge in the sustainable development process: analysis of confirmed cases of COVID-19 (new type of coronavirus) through a binary …
B Pirouz, S Shaffiee Haghshenas… - Sustainability, 2020 - mdpi.com
Nowadays, sustainable development is considered a key concept and solution in creating a
promising and prosperous future for human societies. Nevertheless, there are some …
promising and prosperous future for human societies. Nevertheless, there are some …
COVID-19: a comparison of time series methods to forecast percentage of active cases per population
The ongoing COVID-19 pandemic has caused worldwide socioeconomic unrest, forcing
governments to introduce extreme measures to reduce its spread. Being able to accurately …
governments to introduce extreme measures to reduce its spread. Being able to accurately …
Predicting turning point, duration and attack rate of COVID-19 outbreaks in major Western countries
X Zhang, R Ma, L Wang - Chaos, Solitons & Fractals, 2020 - Elsevier
In this paper, we employed a segmented Poisson model to analyze the available daily new
cases data of the COVID-19 outbreaks in the six Western countries of the Group of Seven …
cases data of the COVID-19 outbreaks in the six Western countries of the Group of Seven …
Multiple ensemble neural network models with fuzzy response aggregation for predicting COVID-19 time series: the case of Mexico
In this paper, a multiple ensemble neural network model with fuzzy response aggregation for
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …
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 …