[Forum SIS] Call for Papers "Spatial econometric contributions to Covid19 pandemic modelling, forecasting and control"

giuseppe Arbia giuseppearbia13 a gmail.com
Mer 24 Mar 2021 17:10:44 CET


Carissimi,vi segnalo la seguente call for papers per contributi sul
tema "Spatial econometric contributions to Covid19 pandemic modelling,
forecasting and control".
Tutti i dettagli al sito
https://www.springer.com/journal/43071/updates/1875054
Cordiali saluti
Giuseppe

Giuseppa Arbia, PhD Cantab
Università Cattolica del Sacro Cuore
Milano-Roma


Call for Papers "Spatial econometric contributions to Covid19 pandemic
modelling, forecasting and control"

Special Article Collection to be published in *Journal of Spatial
Econometrics*

Editor: Giuseppe Arbia (Department of Statistical Sciences, Università
Cattolica del Sacro Cuore, Milan, Italy)
giuseppe.arbia a unicatt.it

The recent pandemic linked to the *SARS*-*CoV*-*2* virus represents an
unprecedent clinical and healthcare challenge for many medical researchers
fighting against its worldwide diffusion. The current health emergency also
represents a big challenge for statisticians and econometricians involved
in proposing models to estimate the crucial epidemic parameters and to help
the process of forecasting the diffusion of the infection to monitor and
control its temporal evolution and geographical diffusion. Indubitably, an
epidemic of infectious diseases typically has a very strong spatial
component in that the virus is transmitted by physical contacts among
susceptible individuals. In this respect spatial econometrics can
contribute to the understanding of the paths of transmission of the virus
by modelling the spatial and networks interaction among the susceptible
individuals. It can also contribute to providing more realistic models in
order to produce space-time forecasts of the pandemic evolution. Finally,
it can contribute at various levels to assisting health policies at a
sub-national level, helping to evaluate the effectiveness of lockdown
measures, rationalizing the geographical distribution of health care
interventions, therapies and vaccines, and to providing indications for
optimal health care infrastructure public investment, to name only a few.

This special article collection aims at attracting contributions in all
these fields to increase the knowledge in the area and help face the
emergency on the basis of empirically grounded evidences.

Original research is invited that:

Presents original theoretical developments and empirical models in any
field connected with the spatial modelling of infectious diseases;Presents
the results of applications of existing spatial methodologies to real cases
of pandemic diffusion;Discusses the results of real data analysis of the
*SARS*-*CoV*-*2* pandemic in different countries, both from a local,
regional, national and global worldwide level;Demonstrates clear
contributions to advancing the knowledge of the practical aspects of
pandemic monitoring and control at a geographical level;Evaluates the
effectiveness of geographically differentiated policies of
non-pharmaceutical interventions (NPIs) aimed at reducing mortality during
the pandemic.Assist decision makers in introducing policies connected with
the geographical distribution of health care interventions, therapies and
vaccines.Provides indications for decision-makers on the policies for
pandemic control.Provides indications for optimal public investment in
intensive care units at various geographical levels in order to anticipate
pandemic crises when their frequency and intensity cannot be anticipated.

Submissions will be welcomed up until the end of December 2021. Authors who
wish to discuss ideas for articles are asked to contact the guest editor
directly before submission. Full papers (original or review) must be
submitted via the journal’s submission system:
https://www.editorialmanager.com/jspe/default.aspx. Submissions by email
cannot be accepted.

Especially when dealing with a subject like the Covid19 diffusion it is of
crucial importance to see the contributions published quickly. The *Journal
of Spatial Econometrics* can guarantee a good visibility together with a
fast and accurate reviewing process. In its first year of life the journal
can boast an average time of 32 days before reviewers return a review
report and an average time of 56 days from submission to first decision.
Accepted papers will be published online immediately in final, citable
version.

>
>
-------------- parte successiva --------------
Un allegato HTML è stato rimosso...
URL: <http://www.stat.unipg.it/pipermail/sis/attachments/20210324/6a4af157/attachment.html>


Maggiori informazioni sulla lista Sis