| Literature DB >> 22252150 |
Anders Johansson1, Michael Batty, Konrad Hayashi, Osama Al Bar, David Marcozzi, Ziad A Memish.
Abstract
Crowds are a feature of large cities, occurring not only at mass gatherings but also at routine events such as the journey to work. To address extreme crowding, various computer models for crowd movement have been developed in the past decade, and we review these and show how they can be used to identify health and safety issues. State-of-the-art models that simulate the spread of epidemics operate on a population level, but the collection of fine-scale data might enable the development of models for epidemics that operate on a microscopic scale, similar to models for crowd movement. We provide an example of such simulations, showing how an individual-based crowd model can mirror aggregate susceptible-infected-recovered models that have been the main models for epidemics so far.Mesh:
Year: 2012 PMID: 22252150 DOI: 10.1016/S1473-3099(11)70287-0
Source DB: PubMed Journal: Lancet Infect Dis ISSN: 1473-3099 Impact factor: 25.071