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

201659 citationsJournal Articlediamond Open Access

Authors

Sharon K. Greene · Brigham and Women's Hospital

Eric Peterson · Brigham and Women's Hospital

Deborah Kapell · Brigham and Women's Hospital

Annie D. Fine · Brigham and Women's Hospital

Martin Kulldorff · New York City Department of Health and Mental Hygiene

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.

Topics & Keywords

Data-Driven Disease Surveillance Zoonotic diseases and public health Yersinia bacterium, plague, ectoparasites research

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Emerging infectious diseases

Volume 22, Issue 10, pp. 1808-1812

DOI: 10.3201/eid2210.160097

Field-Weighted Citation Impact: 4.77