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@unicatt.it

Advisory Panel: Giuseppe Espa (University of Trento), others TBA

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.