Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014-2015
- PMID: 27648777
- PMCID: PMC5038417
- DOI: 10.3201/eid2210.160097
Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014-2015
Abstract
Each day, the New York City Department of Health and Mental Hygiene uses the free SaTScan software to apply prospective space-time permutation scan statistics to strengthen early outbreak detection for 35 reportable diseases. This method prompted early detection of outbreaks of community-acquired legionellosis and shigellosis.
Keywords: Legionella; New York; New York City; Shigella; USA; bacteria; communicable diseases; detection; disease clustering; epidemiology; foodborne diseases; legionellosis; outbreaks; shigellosis; surveillance; zoonoses.
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- Rigdon SE, Turabelidze G, Jahanpour E. Trigonometric regression for analysis of public health surveillance data. Journal of Applied Mathematics. 2014;2014:1. 10.1155/2014/673293 - DOI
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