Covid-19 outbreak prediction with machine learning

SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand… - Algorithms, 2020 - mdpi.com
Several outbreak prediction models for COVID-19 are being used by officials around the
world to make informed decisions and enforce relevant control measures. Among the …

Modelling and Simulation of COVID-19 Outbreak Prediction Using Supervised Machine Learning.

R Zagrouba, MA Khan, MA Saleem… - Computers …, 2021 - search.ebscohost.com
Abstract Novel Coronavirus-19 (COVID-19) is a newer type of coronavirus that has not been
formally detected in humans. It is established that this disease often affects people of …

A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak

XX Liu, SJ Fong, N Dey, RG Crespo… - Applied …, 2021 - Springer
Measuring the spread of disease during a pandemic is critically important for accurately and
promptly applying various lockdown strategies, so to prevent the collapse of the medical …

An integrated neural network and SEIR model to predict Covid-19

SN Zisad, MS Hossain, MS Hossain, K Andersson - Algorithms, 2021 - mdpi.com
A novel coronavirus (COVID-19), which has become a great concern for the world, was
identified first in Wuhan city in China. The rapid spread throughout the world was …

AI-Enabled COVID-19 Outbreak Analysis and Prediction

M Gupta, R Jain, S Arora, A Gupta… - M. Gupta, R. Jain, S …, 2021 - papers.ssrn.com
The COVID-19 disease has already spread to more than 213 countries and territories with
infected (confirmed) cases of more than 27 million people throughout the world so far, while …

Epidemic model guided machine learning for COVID-19 forecasts in the United States

D Zou, L Wang, P Xu, J Chen, W Zhang, Q Gu - MedRxiv, 2020 - medrxiv.org
We propose a new epidemic model (SuEIR) for forecasting the spread of COVID-19,
including numbers of confirmed and fatality cases at national and state levels in the United …

COVID-19 prediction using AI analytics for South Korea

A Sinha, M Rathi - Applied Intelligence, 2021 - Springer
The severe spread of the COVID-19 pandemic has created a situation of public health
emergency and global awareness. In our research, we analyzed the demographical factors …

COVID-19 pandemic prediction for Hungary; a hybrid machine learning approach

G Pinter, I Felde, A Mosavi, P Ghamisi, R Gloaguen - Mathematics, 2020 - mdpi.com
Several epidemiological models are being used around the world to project the number of
infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate …

[HTML][HTML] Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset

LJ Muhammad, EA Algehyne, SS Usman, A Ahmad… - SN computer …, 2021 - Springer
Abstract COVID-19 or 2019-nCoV is no longer pandemic but rather endemic, with more than
651,247 people around world having lost their lives after contracting the disease. Currently …

Forecasting the long-term trend of COVID-19 epidemic using a dynamic model

J Sun, X Chen, Z Zhang, S Lai, B Zhao, H Liu… - Scientific reports, 2020 - nature.com
The current outbreak of coronavirus disease 2019 (COVID-19) has recently been declared
as a pandemic and spread over 200 countries and territories. Forecasting the long-term …