Call for papers: special issue on COVID19 of the Journal of Mathematics in Industry

The Journal of Mathematics in Industry, with the support of the European Consortium for Mathematics in Industry – ECMI , has decided to publish a special issue entitled:

Mathematical models of the spread and consequences of the SARS-CoV-2 pandemics. Effects on health, society, industry, economics and technology.


This is a call for papers.


The Journal of Mathematics in Industry is a high-quality open-access journal 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 we are living in, 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 forecast the course of the pandemic and to suggest measures to mitigate its unfortunate effects.

We are conscious that this pandemic will very likely deeply affect our societies, production, health management, and many other aspects of human life. That 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 articles that propose data-driven mathematical and statistical models of the spread of the SARS-CoV-2 virus, and/or of its foreseeable 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 and fair peer-to-peer review procedure, in order to provide society with a timely and reliable injection of scientific insights.


Given the importance of the subject, the APCs of all the articles accepted for this special issue will be waived.


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.


Guest editors and contacts:

  • Alessandra Micheletti, Università degli Studi di Milano (Lead guest editor) –
  • Adérito Araújo, University of Coimbra –
  • Neil Budko, Delft University of Technology –
  • Ana Carpio, Universidad Complutense de Madrid –
  • Matthias Ehrhardt, Bergische Universität Wuppertal –


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

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