| Literature DB >> 18759375 |
Huafeng Zhou1, Andrew B Lawson.
Abstract
In this paper a novel method for the monitoring of disease maps over time in a surveillance setting is described. The approach relies upon the use of a spatial model that is fitted to current spatial data and is smoothed with historical spatial estimates. The method of smoothing is a vector exponentially weighted moving average procedure. A simulation study with a range of scenarios is presented and finally a case study of monitoring infectious disease spread is presented.Entities:
Mesh:
Year: 2008 PMID: 18759375 DOI: 10.1002/sim.3409
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373