Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data

Abstract

Noncommercial 3.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. 94 (page number not for citation purposes) ISDS 2013 Conference Abstracts Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data Alison Levin-Rector*1, Ana Corberán-Vallet3, Andrew B. Lawson2, Ramona Lall1 and Robert Mathes1 1NYC Dept of Health and Mental Hygiene, Queens, NY, USA; 2Medical University of South Carolina, Charleston, SC, USA; 3University of Valencia, Valencia, Spain

Cite this paper

@inproceedings{LevinRector2014ApplicationOA, title={Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data}, author={Alison Levin-Rector and Ana Corber{\'a}n-Vallet and Andrew B. Lawson and Ramona Lall and Robert W Mathes}, year={2014} }