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. 2016 Oct;22(10):1808-12.
doi: 10.3201/eid2210.160097.

Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014-2015

Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014-2015

Sharon K Greene et al. Emerg Infect Dis. 2016 Oct.

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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Figures

Figure
Figure
Automated output from spatiotemporal analysis on July 17, 2015, indicating a cluster (dark gray) of 8 legionellosis cases over 8 days centered in the South Bronx, New York City, New York, USA. In subsequent days, this cluster expanded in space and time into the second largest US outbreak of community-acquired legionellosis.

References

    1. Levin-Rector A, Wilson EL, Fine AD, Greene SK. Refining historical limits method to improve disease cluster detection, New York City, New York, USA. Emerg Infect Dis. 2015;21:265–72.10.3201/eid2102.140098 - DOI - PMC - PubMed
    1. Heffernan R, Mostashari F, Das D, Karpati A, Kulldorff M, Weiss D. Syndromic surveillance in public health practice, New York City. Emerg Infect Dis. 2004;10:858–64.10.3201/eid1005.030646 - DOI - PubMed
    1. Kulldorff M, Heffernan R, Hartman J, Assunção R, Mostashari F. A space-time permutation scan statistic for disease outbreak detection. PLoS Med. 2005;2:e59.10.1371/journal.pmed.0020059 - DOI - PMC - PubMed
    1. Hutwagner L, Thompson W, Seeman GM, Treadwell T. The bioterrorism preparedness and response Early Aberration Reporting System (EARS). J Urban Health. 2003;80(Suppl 1):i89–96. - PMC - PubMed
    1. 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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