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 512
Special Issue Editor
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
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Keywords
- Spatial Epidemics
- Information Propagation
- Spread of Infectious Diseases
- Spread of Rumors
- Spatial Probabilistic Models.
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