Automating BioSense 2.0 Locker Processing for Local Program-Specific Surveillance

Syndromic surveillance can provide early warning of potential public health emergencies and acute health events in a population. The sharing and aggregation of syndromic data among jurisdictions can provide more comprehensive situational awareness and improve coordination and decision-making. The BioSense 2.0 Program supports increased syndromic data-sharing among a nationwide network of local and state public health agencies. Most users of this application utilize the main web site front-door interface due to its user-friendly features for query and analysis.

August 22, 2018

BioSense 2.0 Governance: Surveying Users and Stakeholders for Continued Development

The CDC's BioSense 2.0 system is designed with a user-centered approach, where the needs and requests of the users are part of its continued development. User requirements were gathered extensively to help design BioSense 2.0 and users continue to submit feedback which is used to make improvements to the system. However, in order to ensure that these needs are gathered in a formal and ongoing way, the BioSense 2.0 Governance Group, comprised primarily of state and local public health representatives, was established to advise the CDC on the development of BioSense 2.0.

August 22, 2018

Comparison of Aberration Detection Algorithms for Biosurveillance Systems

Use of robust and broadly applicable statistical alerting methods is essential for a public health Biosurveillance system. We compared several algorithms related to the Early Aberration Reporting System C2 (adaptive control chart) method for practical detection sensitivity and timeliness using a realistic but stochastic signal inject strategy with a variety of data streams. The comparison allowed detail examination of strategies for adjusting daily syndromic counts for day-of-week effects and the total daily volume of facility visits.

August 22, 2018

BioSense 2.0 Webinar: Reports from the Field

In the first quarter of 2012, the CDC awarded 9 health departments BioSense Challenge Grants to accelerate local system integration with BioSense 2.0. On Friday, October 4th from 1:00-2:00 pm EDT, ISDS and the BioSense Redesign Team will host a BioSense Redesign webinar featuring reports from two 2012 Challenge Grant recipients. During this webinar, you will learn about the solutions that surveillance professionals in New Jersey and Maine developed with their challenge grants.

August 28, 2017

Visualization in R

The topics covered in this training include frequency tables, scatter plots, correlation plots, box plots, panels with multiple plots on the same page, formatting/customizing plots, and lattice and ggplot2 packages for elegant visualization.

October 31, 2017

Evaluation of ESSENCE in the Cloud Using Meaningful Use Syndromic Surveillance Data

In November of 2011 BioSense 2.0 went live to provide tools for public health departments to process, store, and analyze meaningful use syndromic surveillance data. In February of 2012 ESSENCE was adapted to support meaningful use syndromic surveillance data and was installed on the Amazon GovCloud. Tarrant County Public Health Department agreed to pilot the ESSENCE system and evaluate its performance compared to a local version ESSENCE they currently used.

May 14, 2018

Update from CDC's Public Health Surveillance & Informatics Program Office (PHSIPO)

The practice of public health surveillance is evolving as electronic health records (EHRs) and automated laboratory information systems are increasing adopted, as new approaches for health information exchange are employed, and as new health information standards affect the entire cascade of surveillance information flow. These trends have been accelerated by the Federal program to promote the Meaningful Use of electronic health records, which includes explicit population health objectives.

July 05, 2018

Use of BioSense for Rapid Assessment of the Safety of Medical Countermeasures

BioSense is a national human health surveillance system for disease detection, monitoring, and situation awareness through near realtime access to existing electronic healthcare encounter information, including information from hospital emergency departments (EDs). MCM include antibiotics, antivirals, antidotes, antitoxins, vaccinations, nuclide-binding agents, and other medications. Although some MCM have been extensively evaluated and have FDA approval, many do not (1).

July 06, 2018

Use of Syndromic Data to Determine Oral Health Visit Burden on Emergency Departments

Concern over oral health-related ED visits stems from the increasing number of unemployed and uninsured, the cost burden of these visits, and the unavailability of indicated dental care in EDs [1]. Of particular interest to NC state public health planners are Medicaid-covered visits. Syndromic data in biosurveillance systems offer a means to quantify these visits overall and by county and age group.

Objective

July 06, 2018

R Training for BioSense 2.0

The topics covered in this training include an introduction to the R statistical package, downloading and installation of R, data management including importing datasets, generating data subsets, adding new variables, how to generate descriptive statistics, and basic box plots, histograms and scatter plots. The training also includes a demonstration of using R with BioSense 2.0 data in a real example of a public health issue.

October 31, 2017

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INTERNATIONAL SOCIETY FOR
DISEASE SURVEILLANCE

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Email:syndromic@syndromic.org

This Knowledge Repository is made possible through the activities of the Centers for Disease Control and Prevention Cooperative Agreement/Grant #1 NU500E000098-01, National Surveillance Program Community of Practice (NSSP-CoP): Strengthening Health Surveillance Capabilities Nationwide, which is in the interest of public health.

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