Long-term predictions of current confirmed and dead cases of COVID-19 in China by the non-autonomous delayed epidemic models
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Long-term predictions of current confirmed and dead cases of COVID-19 in China by the non-autonomous delayed epidemic models
Authors
Keywords
-
Journal
Cognitive Neurodynamics
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-07-27
DOI
10.1007/s11571-021-09701-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Function estimation and regularization in the SIRD model applied to the COVID-19 pandemics
- (2021) C. C. Pacheco et al. INVERSE PROBLEMS IN SCIENCE AND ENGINEERING
- Data Analytics and Mathematical Modeling for Simulating the Dynamics of COVID-19 Epidemic—A Case Study of India
- (2021) Himanshu Gupta et al. Electronics
- A fractional-order SIRD model with time-dependent memory indexes for encompassing the multi-fractional characteristics of the COVID-19
- (2021) Hadi Jahanshahi et al. CHAOS SOLITONS & FRACTALS
- Use of a Modified SIRD Model to Analyze COVID-19 Data
- (2021) Devosmita Sen et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Exploring the influence of human mobility factors and spread prediction on early COVID-19 in the USA
- (2021) Zhicheng Zheng et al. BMC PUBLIC HEALTH
- Influence of SARS-CoV-2 Variant B.1.1.7, Vaccination, and Public Health Measures on the Spread of SARS-CoV-2
- (2021) Chloé Dimeglio et al. Viruses-Basel
- Review of fractional epidemic models
- (2021) Yuli Chen et al. APPLIED MATHEMATICAL MODELLING
- Time fused coefficient SIR model with application to COVID-19 epidemic in the United States
- (2021) Hou-Cheng Yang et al. JOURNAL OF APPLIED STATISTICS
- Joint impacts of media, vaccination and treatment on an epidemic Filippov model with application to COVID-19
- (2021) Jiawei Deng et al. JOURNAL OF THEORETICAL BIOLOGY
- Explicit formulae for the peak time of an epidemic from the SIR model
- (2021) Mustafa Turkyilmazoglu PHYSICA D-NONLINEAR PHENOMENA
- Building a sensible SIR estimation model for COVID-19 outspread in Kuwait
- (2021) Mohammed N. Alenezi et al. Alexandria Engineering Journal
- Spatio-Temporal influence of Non-Pharmaceutical interventions policies on pandemic dynamics and the economy: the case of COVID-19
- (2021) Teddy Lazebnik et al. Economic Research-Ekonomska Istrazivanja
- Optimal lockdown policy for vaccination during COVID-19 pandemic
- (2021) Yuting Fu et al. Finance Research Letters
- A conceptual model for the outbreak of Coronavirus disease 2019 (COVID-19) in Wuhan, China with individual reaction and governmental action
- (2020) Qianying Lin et al. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
- (2020) Joel Hellewell et al. Lancet Global Health
- Analysis and forecast of COVID-19 spreading in China, Italy and France
- (2020) Duccio Fanelli et al. CHAOS SOLITONS & FRACTALS
- Prediction of numbers of the accumulative confirmed patients (NACP) and the plateau phase of 2019-nCoV in China
- (2020) Lijun Pei Cognitive Neurodynamics
- Transmission potential and severity of COVID-19 in South Korea
- (2020) Eunha Shim et al. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- A time delay dynamical model for outbreak of 2019-nCoV and the parameter identification
- (2020) Yu Chen et al. Journal of Inverse and Ill-Posed Problems
- COVID-19 and Italy: what next?
- (2020) Andrea Remuzzi et al. LANCET
- Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions
- (2020) Zifeng Yang et al. Journal of Thoracic Disease
- Forecasting the outcome and estimating the epidemic model parameters from the fatality time series in COVID-19 outbreaks
- (2020) Gabor Vattay PHYSICAL BIOLOGY
- Mathematical analysis of SIRD model of COVID-19 with Caputo fractional derivative based on real data
- (2020) Kottakkaran Sooppy Nisar et al. Results in Physics
- Population agglomeration is a harbinger of the spatial complexity of COVID-19
- (2020) Xiaolong Geng et al. CHEMICAL ENGINEERING JOURNAL
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started