Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data

doi:10.5210/ojphi.v6i1.5040

Published on 03.Mar.2014 in Vol 6, No 1 (2014):

Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data

Alison Alison¹ ; Ana Corberán-Vallet² ; Andrew B. Lawson³ ; Ramona Lall¹ ; Robert Mathes¹

The full text of this article is available as a PDF download by clicking here.

Article Authors Cited by Tweetations Metrics

All Time | Last Month | Last Six Months | Last Year

There are currently no tweets available for this article within the specified range.

Citation

Please cite as:

Alison A, Corberán-Vallet A, Lawson AB, Lall R, Mathes R
Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data
Online J Public Health Inform 2014;6(1):e61304
doi: 10.5210/ojphi.v6i1.5040 PMCID: 4050869

This paper is in the following e-collection/theme issue:

Presentations, Abstracts, or Demonstrations (740) Theme Issue: Bayesian Methods In Medical Research (30) Use Cases in Human, Animal, and Zoonotic Communicable/Infectious Disease Surveillance (148)

Download

Download PDF

Share Article

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn