Published on in Vol 8, No 1 (2016):

Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype

Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype

Prospective Spatio-Temporal and Temporal Cluster Detection by Salmonella Serotype

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

Journals

  1. Greene S, Andrews E, Evans Lloyd P, Baumgartner J, Peterson E. Detecting Drop-offs in Electronic Laboratory Reporting for Communicable Diseases in New York City. Journal of Public Health Management and Practice 2020;26(6):570 View
  2. Levin-Rector A, Kulldorff M, Peterson E, Hostovich S, Greene S. Prospective Spatiotemporal Cluster Detection Using SaTScan: Tutorial for Designing and Fine-Tuning a System to Detect Reportable Communicable Disease Outbreaks. JMIR Public Health and Surveillance 2024;10:e50653 View
  3. Latash J, Greene S, Stavinsky F, Li S, McConnell J, Novak J, Rozza T, Wu J, Omoregie E, Li L, Peterson E, Gutelius B, Reddy V. Salmonellosis Outbreak Detected by Automated Spatiotemporal Analysis — New York City, May–June 2019. MMWR. Morbidity and Mortality Weekly Report 2020;69(26):815 View

Conference Proceedings

  1. Jat M, Mala S. Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance. Application of GIS and Space-Time Scan Statistic for Vector Born Disease Clustering View
  2. Sukhija K, Singh S, Kumar M. 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence). Using Linear Regression to investigate parameters associated with Rape crime in Haryana View