Displaying results 1 - 3 of 3
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Cluster Detection Comparison in Syndromic Surveillance
Content Type: Abstract
The New York City Department of Health and Mental Hygiene (NYC DOHMH) collects data daily from 50 of 61 (82%) emergency departments (EDs) in NYC representing 94% of all ED visits (avg daily visits ~10,000). The information… read more… departments (EDs) in NYC representing 94% of all ED visits (avg daily visits ~10,000). The information collected includes the date and time of visit, age, sex, home zip code and chief complaint of each … from 50 of 61 (82%) EDs in NYC representing 94% of all ED visits (avg daily visits ~10,000). The information collected … -
Data Visualization for Health Surveillance: Current Concepts and New Horizons
Content Type: Webinar
Presenters Wayne Loschen, Johns Hopkins University Applied Physics Laboratory (JHU-APL) Karl Soetebier, MPW, Georgia Division of Public Health Paul Picciano, PhD,… read more… for collaborators! § Contact me at hardisty@psu.edu § Visit the GeoVISTA Center Website … -
Cloud Computing for Syndromic Surveillance
Content Type: Abstract
Two significant barriers to greater use of syndromic surveillance techniques are computational time and software complexity. Computational time refers to the time for many methods (for example, scan statistics and AMOEBA statistics) to create… read more… Stat Theor Meth. 1997;26:1481�96. *Frank Hardisty E-mail: hardisty@psu.edu (page number not for citation …