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

[Paolo Giudici]

Grazie Giuseppe,
[image: LOGO-UNIPV]
Paolo Stefano Giudici
Professor of Statistics, Department of Economics and Management,
Coordinator of the European projects FIN-TECH and PERISCOPE
https://www.linkedin.com/in/paolo-giudici-60028a/


Il giorno mer 24 mar 2021 alle ore 17:24 giuseppe Arbia <
giuseppearbia13 a gmail.com> ha scritto:

> 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.
>
>>
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