Journal of Mathematics in Industry: Special Issue on COVID19
Special Issue: Mathematical models of the spread and consequences of the SARS-CoV-2 pandemics. Effects on health, society, industry, economics and technology.
The Journal of Mathematics in Industry is a high-quality open-access journal published by Springer that brings together research on developments in mathematics for industrial applications, where industry is understood as any activity of economic and/or social value.
In the disruptive period that we are living, in the middle of the spread of the SARS-CoV-2 pandemics, scientists, and in particular mathematicians and statisticians, are investing an unprecedented effort to try to forecast and suggest measures to mitigate the ill-fated effects of the pandemic.
We are conscious that this pandemic will very likely deeply modify our future life, in terms of society, production, health management, and many other aspects of human life, and this is why there is an urgency to provide scientifically reliable studies of the many aspects of the problem to policy makers.
This special issue will be devoted to collect articles which propose data driven mathematical or statistical models of the spread of the SARS-CoV-2 virus, and/or of its foreseen consequences on public health, society, industry, economics and technology.
The editors of this special issue and the scientists of the ECMI consortium will guarantee a fast, but fair, peer-to-peer review procedure, in order to provide to society a reliable injection of scientific insights.
APC Fee: Given the importance of the subject, the APCs of all the articles accepted for this special issue will be waived.
Submissions: Manuscripts can be submitted immediately and will be processed as they arrive. They can be accepted and published online ‘as and when they are ready’. The Special Issue will be published in Nov-Dec 2020. LaTeX submissions are preferred. Some author’s guide is available here .
Interested authors are kindly asked to contact one of the guest editors of the special issue before the submission, in order to know the procedure to apply for the waive of the APCs.
- Alessandra Micheletti, Università degli Studi di Milano, firstname.lastname@example.org
- Adérito Araújo, University of Coimbra, email@example.com
- Neil Budko, Technical University of Delft, firstname.lastname@example.org
- Ana Carpio, Universidad Complutense de Madrid, email@example.com
- Matthias Ehrhardt, Bergische Universität Wuppertal, firstname.lastname@example.org
Topics of interest:
Scenarios of containment and mitigation; Socio-economic costs of the SARS-CoV-2 pandemic; Spatio-temporal spread of SARS-CoV-2; Estimating the unreported number of virus cases; Bats-Hosts-Reservoir-People (BHRP) virus transmission.
Methods of interest and keywords:
mathematical epidemiology, mathematical modelling, SIR-type models, delay differential equations, waning immunity models, quarantine models, θ-SEIHRD model, parameter estimation, numerical simulation, incidence forecast methods, econometric models, contagion models, Poisson autoregressive models, basic reproduction number, optimal control, dynamical system, time delay process, parameter identification, outbreak, prediction, isolation, transmission risk, data-driven time-dependent transmission rate, risk assessment of virus outbreaks, fitting dynamic models to epidemic outbreaks with quantified uncertainty, short-term forecasting epidemic waves, big data analysis and prediction, data mining, risk modelling and simulation, Epidemic prevention and control, outbreak emergency management, Impact of the epidemic on the economy, finance, society, companies
You find the webpage of the Journal of Mathematics in Industry here.
Update April 13: The Submission System for this Special Issue is now properly set up. Authors will be asked, under the Additional Information section, during submission, to note whether their paper is tied to a Thematic Series or not. Please find below how to properly select the MATHCOVID19 option to ensure that their paper is properly coded for the issue.