Displaying results 9 - 16 of 43
-
User Generated SQL Queries Inform Evaluation of NSSP ESSENCE
Content Type: Abstract
As system users develop queries within ESSENCE, they step through the user-interface to select data sources and parameters needed for their query. Then they select from the available output options (e.g., time series, table builder, data details).… read more -
Development of Automated Data Quality Indicators and Visualizations using Florida's ESSENCE System
Content Type: Abstract
Understanding your data is a fundamental pillar of disease surveillance success. With the increase in automated, electronic surveillance tools many public health users have begun to rely on those tools to produce reports that contain processed… read more -
Establishing a Federal and State Data Exchange Pilot for Public Health Situational Awareness
Content Type: Abstract
ASPR deploys clinical assets, including an EMR system, to the ground per state requests during planned and no-notice events. The analysis of patient data collected by deployed federal personnel is an integral part of ASPR and FDOH’s surveillance… read more -
ESSENCE Q & A v2.0
Content Type: Webinar
Presented March 27, 2018. During this 90-minute session, Aaron Kite-Powell, M.S., from CDC and Wayne Loschen, M.S., from JHU-APL provided an overview of tips and tricks in ESSENCE and answered questions from the audience regarding ESSENCE… read more -
How do we present messy syndromic surveillance data to public health’s partners?
Content Type: Abstract
With increasing awareness of SyS systems, there has been a concurrent increase in demand for data from these systems â both from researchers and from the media. The opioid epidemic occurring in the United States has forced the SyS community to… read more -
ESSENCE Q & A v3.0
Content Type: Webinar
Held September 13, 2018. Aaron Kite-Powell, M.S., from CDC and Wayne Loschen, M.S., from JHU-APL were available during this 60-minute session to provide updates on the ESSENCE platform as well as tips and… read more -
Comparison of Influenza-like Illness Syndrome Classification Between Two Syndromic Surveillance Systems
Content Type: Abstract
In 2004, the BioDefend (BD) syndromic surveillance (SS) system was implemented in Duval County hospitals (Jacksonville, FL). Daily emergency department chief complaints are manually classified and entered into the BD system by… read more -
Data De-Identification Toolkit
Content Type: Abstract
Developing effective data-driven algorithms and visualizations for disease surveillance hinges on the ability to provide application developers with realistic data. However, the sensitivity of the data creates a barrier to its distribution. We have… read more