| Literature DB >> 29907403 |
Jessica Enright1, Rowland Raymond Kao2.
Abstract
In many populations, the patterns of potentially infectious contacts are transients that can be described as a network with dynamic links. The relative timescales of link and contagion dynamics and the characteristics that drive their tempos can lead to important differences to the static case. Here, we propose some essential nomenclature for their analysis, and then review the relevant literature. We describe recent advances in they apply to infection processes, considering all of the methods used to record, measure and analyse them, and their implications for disease transmission. Finally, we outline some key challenges and opportunities in the field.Keywords: Disease models; Network data; Network metrics; Social network analysis
Mesh:
Year: 2018 PMID: 29907403 DOI: 10.1016/j.epidem.2018.04.003
Source DB: PubMed Journal: Epidemics ISSN: 1878-0067 Impact factor: 4.396