Special Issue "Spatial Transmission Dynamics"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 228

Special Issue Editor

Prof. Dr. Martin Haenggi
E-Mail Website
Guest Editor
Department of Electrical Engineering and Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA
Interests: stochastic geometry; wireless networks; random geometric graphs; spatial statistics; stochastic modeling

Special Issue Information

Dear Colleagues,

Recent developments demonstrate that understanding the dynamics of spatial transmission phenomena, including the spread of infectious diseases, is vital. Traditional models such as the SIR (susceptible-infectious-recovered) model aim at capturing the temporal dynamics of a homogeneous population in which everybody has the same probability of infecting everybody else. Such models do not capture the proximity between agents, which is known to have a critical impact on propagation (viz. physical distancing), is ignored. Accordingly, a promising improvement is to incorporate a spatial (geometric) component in the model, where the transmission probabilities depend on the distances between the agents.

Quite analogously, the reliability of a transmission in wireless networks strongly depends on the link distance, i.e., the spatial spreading of a disease in a population and the propagation of information in a wireless network appear to be governed by similar mechanisms. As a result, the two traditionally separate fields of research may cross-fertilize new techniques that have the potential to lead to breakthroughs in the modeling and/or analysis.

The aim of this Issue is to bring together state-of-the-art research contributions that give new insights into the dynamics of spatial transmission phenomena.

The key areas for this Special Issue include but are not limited to the following:

spatial and spatiotemporal statistics; data-driven approaches; simulation techniques; stochastic geometry; percolation analyses; metapopulation models; continuum methods and PDE limits; epidemic trails; effect of physical distancing; effect of host or node mobility; effect of population heterogeneity

Prof. Dr. Martin Haenggi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Spatial Epidemics
  • Information Propagation
  • Spread of Infectious Diseases
  • Spread of Rumors
  • Spatial Probabilistic Models.

Published Papers

There is no accepted submissions to this special issue at this moment.
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