Unknown uncertainties in the COVID-19 pandemic: Multi-dimensional identification and mathematical modelling for the analysis and estimation of the casualties
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Unknown uncertainties in the COVID-19 pandemic: Multi-dimensional identification and mathematical modelling for the analysis and estimation of the casualties
Authors
Keywords
COVID-19 casualties, Extended SpID-N model, Parametric model, Non-pharmacological approaches, System identification, Uncertainties
Journal
DIGITAL SIGNAL PROCESSING
Volume 114, Issue -, Pages 103058
Publisher
Elsevier BV
Online
2021-04-16
DOI
10.1016/j.dsp.2021.103058
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Stochastic filtering based transmissibility estimation of novel coronavirus
- (2021) Rahul Bansal et al. DIGITAL SIGNAL PROCESSING
- Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding
- (2020) Roujian Lu et al. LANCET
- A Novel Coronavirus Emerging in China — Key Questions for Impact Assessment
- (2020) Vincent J. Munster et al. NEW ENGLAND JOURNAL OF MEDICINE
- A mathematical model for simulating the phase-based transmissibility of a novel coronavirus
- (2020) Tian-Mu Chen et al. Infectious Diseases of Poverty
- Analysis and forecast of COVID-19 spreading in China, Italy and France
- (2020) Duccio Fanelli et al. CHAOS SOLITONS & FRACTALS
- The effectiveness of quarantine of Wuhan city against the Corona Virus Disease 2019 (COVID‐19): A well‐mixed SEIR model analysis
- (2020) Can Hou et al. JOURNAL OF MEDICAL VIROLOGY
- Analysis of COVID-19 infection spread in Japan based on stochastic transition model
- (2020) Kenji Karako et al. BioScience Trends
- COVID-19 in Italy: momentous decisions and many uncertainties
- (2020) Marzia Lazzerini et al. Lancet Global Health
- COVID-19 and the consequences of isolating the elderly
- (2020) Richard Armitage et al. Lancet Public Health
- Impact of school closures for COVID-19 on the US health-care workforce and net mortality: a modelling study
- (2020) Jude Bayham et al. Lancet Public Health
- COVID-19, SARS and MERS: are they closely related?
- (2020) N. Petrosillo et al. CLINICAL MICROBIOLOGY AND INFECTION
- Chloroquine and Hydroxychloroquine in Coronavirus Disease 2019 (COVID-19). Facts, Fiction & the Hype. A Critical Appraisal.
- (2020) Mohammad Sultan Khuroo et al. INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS
- Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia
- (2020) Suwardi Annas et al. CHAOS SOLITONS & FRACTALS
- A SIR model assumption for the spread of COVID-19 in different communities
- (2020) Ian Cooper et al. CHAOS SOLITONS & FRACTALS
- Robust identification of OE model with constrained output using optimal input design
- (2016) Vladimir Stojanovic et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Multibody dynamics modelling and system identification of a quarter-car test rig with McPherson strut suspension
- (2010) Corina Sandu et al. VEHICLE SYSTEM DYNAMICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search