[Forum SIS] Call for papers: special issue of the J. Math. Ind. on COVID19

Alessandra Micheletti alessandra.micheletti a unimi.it
Mar 14 Apr 2020 09:03:14 CEST


Sorry for multiple posting.



I would like to announce that the Journal of Mathematics in Industry
<https://mathematicsinindustry.springeropen.com/>, with the support of
the European
Consortium for Mathematics in Industry – ECMI <https://ecmiindmath.org/> ,
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, during the submission procedure, will be asked to note
whether their paper is tied to a Thematic Series or not, under the
Additional Information section. Please select the MATHCOVID19 option, and
apply for the waive of the APCs.

Corresponding authors coming from an ECMI center may enter the ECMI code
for APCs waive procedure (please refer to your national representative in
the ECMI council to have this code).





*Guest editors:*

·      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



-- 
------------------------------------
Alessandra Micheletti
Associate Professor - Probability and Mathematical Statistics

Dept. of Environmental Science and Policy - ESP
Università degli Studi di Milano
via Saldini 50, 20133 Milano, Italy
phone: +39-02503-16130
fax: +39-02503-16090
http://users.mat.unimi.it/users/michel
<http://www.mat.unimi.it/users/michel>
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