Phys. Rev. Focus26, 20 (2010) – Published November 12, 2010
Foraging animals or other randomly moving entities can more easily avoid each other by taking more long-distance jumps, according to theoretical results, which may also apply to epidemics and database searches.
The idea behind adaptive behavioral epidemiology is that groups and individuals respond to the knowledge of a disease threat by changing their habits to avoid interactions with those who are contagious. Network-based models take this adaptive behavior into account by allowing the network to “rewire” its connections.
Experiments now quantitatively confirm the standard model of electrokinetics, in which electric fields drive the flow of electrolytes, potentially leading to better sensors and biomedical diagnostic devices.