SaTScan is a free statistical disease surveillance software package implementing the spatial, temporal and spatio-temporal scan statistics. It is used by many scientists and public health officials across the United States and around the world for geographical disease cluster detection and evaluation, and for the early detection of disease outbreaks. With the software, it is possible to determine whether disease cases are randomly distributed over space and/or time, or whether there are statistically significant spatial, temporal and/or spatio-temporal clusters with more (or fewer) cases than expected. Critically, it adjusts for the multiple testing inherent in the many possible cluster locations and sizes evaluated, as well as for covariates. As the number of users increase, there is an increasing number of requests for new SaTScan features and functionalities, including integration with geographical information systems and statistical software packages, graphical output functionalities, power evaluation tools, more general analysis options, and easy to use training material. In this project, we propose to further develop and maintain the SaTScan software to fulfill many of these needs.

Public Health Relevance

The SaTScan disease surveillance software has around 13,000 registered users, including over 800 at federal (CDC), state and local public health departments across the United States. Additional features, functionalities and training material will enable users to apply the software in new and innovative ways, as well as more efficiently.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA165057-06
Application #
8467695
Study Section
Biodata Management and Analysis Study Section (BDMA)
Program Officer
Zhu, Li
Project Start
2012-05-15
Project End
2017-03-31
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
6
Fiscal Year
2013
Total Cost
$196,958
Indirect Cost
$29,618
Name
Harvard Pilgrim Health Care, Inc.
Department
Type
DUNS #
071721088
City
Boston
State
MA
Country
United States
Zip Code
02215
Greene, Sharon K; Peterson, Eric R; Kapell, Deborah et al. (2016) Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014-2015. Emerg Infect Dis 22:1808-12
Duncan, Dustin T; Rienti Jr, Michael; Kulldorff, Martin et al. (2016) Local spatial clustering in youths' use of tobacco, alcohol, and marijuana in Boston. Am J Drug Alcohol Abuse 42:412-21
Boscoe, Francis P; Talbot, Thomas O; Kulldorff, Martin (2016) Public domain small-area cancer incidence data for New York State, 2005-2009. Geospat Health 11:304
Kulldorff, Martin; Kleinman, Ken (2015) Comments on 'a critical look at prospective surveillance using a scan statistic' by T. Correa, M. Costa, and R. Assunção. Stat Med 34:1094-5
Prates, Marcos O; Kulldorff, Martin; Assunção, Renato M (2014) Relative risk estimates from spatial and space-time scan statistics: are they biased? Stat Med 33:2634-44
Jones, Stephen G; Kulldorff, Martin (2012) Influence of spatial resolution on space-time disease cluster detection. PLoS One 7:e48036