Comparison of some forecasting methods for COVID-19-Reference-Cited by-同舟云学术

Comparison of some forecasting methods for COVID-19

Published:2021-02 Issue:1 Volume:60 Page:1565-1589
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Appadu A.R.,Kelil A.S.,Tijani Y.O.

Funder

Nelson Mandela University

Publisher

Elsevier BV

Subject

General Engineering

Reference25 articles.

1. Forecasting COVID-19;Perc;Front. Phys.,2020

2. Worldometer, Coronavirus data, 2020.

3. Breaking down of healthcare system: Mathematical modelling for controlling the novel coronavirus (2019-ncov) outbreak in Wuhan, China;Ming;BioRxiv,2020

4. A novel coronavirus from patients with pneumonia in China, 2019;Zhu;N. Engl. J. Med.,2020

5. Early transmission dynamics in Wuhan, China, of novel coronavirus–infected pneumonia;Li;N. Engl. J. Med.,2020

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1. Predicting the outbreak of epidemics using a network-based approach;European Journal of Operational Research;2023-09

2. A novel prediction model based on decomposition-integration and error correction for COVID-19 daily confirmed and death cases;Computers in Biology and Medicine;2023-04

3. Nonparametric Homogeneity Test for Small Samples and Its Applications to COVID-19 Epidemic Curves Forecasting;2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT);2022-12-15

4. Optimal Neural Network Model for Short-Term Prediction of Confirmed Cases in the COVID-19 Pandemic;Mathematics;2022-10-15

5. On the accuracy of short-term COVID-19 fatality forecasts;BMC Infectious Diseases;2022-03-14