This presentation provides an overview of how to get started using the BioSense 2.0 platform, including registering for an account, displaying syndromes, running queries, creating and editing maps, saving and sharing views. PDFs, and dashboards, and setting up your account alerts, email and passwords.
BioSense
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.
Influenza-like illness (ILI) is an annual concern for communities and health authorities worldwide. As we enter the already active 2013-2014 flu season, join ISDS and the BioSense Redesign Team for a Webinar about using emergency department (ED) visit data for ILI surveillance. You will learn the basics of ILI surveillance: how to use chief complaint data, how local, state, and federal public health departments use these data, and why sharing these data in real-time matters.
Presenters
Description
The North Dakota Department of Health (NDDoH) investigated the feasibility of using syndromic surveillance (SyS) data to identify health care visits due to electronic cigarette (e-cigarette) use. E-cigarettes have been associated with injuries and fatalities in all age groups, including young children attracted to the colorful liquid nicotine carriage packaging [1]. Previously, poison control data was the only resource available to the NDDoH for e-cigarette adverse outcomes surveillance.
Objective
To explore the use of emergency department syndromic surveillance data to identify adverse health events related to electronic cigarettes in order in enhance existing surveillance.
When public health practitioners use BioSense 2.0, they can view and analyze data on a variety of predetermined syndromes from infectious diseases (such as influenza) to injuries. However, some users may want to use tools to explore new and different syndromes that are not available yet in BioSense 2.0. Nabarun Dasgupta and Timothy Hopper from the BioSense Redesign Team will discuss RStudio, a free and open-source interface for R that users can employ to examine syndromes unique to their geographic or practice area.
This Webinar will help you learn about new and upcoming BioSense 2.0 features and how they can enhance your user experience. Nabarun Dasgupta of the BioSense Redesign Team will review new BioSense functionalities and services as well as discuss how binning occurs. He will also preview analytic tools that are being developed. Current BioSense 2.0 users who are familiar with BioSense 2.0 tools and services will find this Webinar instructive, and prospective users will gain a deeper understanding of BioSense 2.0 functionalities.
Presenters
For much of the United States, 2014 began with extreme cold and large snowstorms. As a result, surveillance practitioners around the country have been working to identify, gather, and analyze cold weather-related data. This presentation will focus on data analysis and use for winter weather surveillance in both Indianapolis and Boston.
Public health jurisdictions participating in BioSense 2.0 can be on-boarded in several ways, including one hospital at a time or through a health information exchange (HIE). Onboarding through an HIE can simplify the process and ease the burden on health departments.
Description
As a participant in the National Syndromic Surveillance Program (NSSP), the Massachusetts Department of Public Health (MDPH) has worked closely with our statewide Health Information Exchange (HIE) and National Syndromic Surveillance Program (NSSP) technical staff to collect and transmit emergency department (ED) data from eligible hospitals (EHs) to the NSSP. Our goal is to ensure complete and accurate data using a multi-step process beginning with pre-production data and continuing after EHs are sending live data to production.
Objective
To develop a detailed data validation strategy for facilities sending emergency department data to the Massachusetts Syndromic Surveillance program and to evaluate the validation strategy by comparing data quality metrics before and after implementation of the strategy.
ISDS Conference Call to discuss surveillance for severe respiratory illness / Enterovirus D68. This call will be an opportunity for syndromic surveillance practitioners to share their experiences conducting their contribution to surveillance for Enterovirus D68.
Discussion topics will include, but not be limited to, the following:
- Which syndromes are being used for surveillance of this issue? Respiratory? Asthma? ILI? Others?
- Are admissions being tracked?
- What age groups, if any, are being used?