Role of Influenza in ED Visits and Hospitalizations of Adults Over 65 Years in France

While the link between excess winter mortality and winter respiratory diseases in the elderly is well described, the impact of the epidemic of influenza in the elderly is mainly assessed in France through specific surveillance in the general population. Syndromic surveillance data enables to monitor ED attendances and hospitalizations for various diagnostic codes groupings throughout the influenza epidemic, some of which often cited as influenza proxies, such as cardiorespiratory diagnostic groups.

September 08, 2017

Making the Best Use of Textual ED Data for Syndromic Surveillance

In this webinar Dr. Travers will review two tools developed at the University of North Carolina at Chapel Hill, which aid in processing textual CC’s and triage notes in support of syndromic surveillance. Textual data from emergency departments (EDs) is a common source of data for syndromic surveillance. In the last few years the adoption of electronic health records systems in EDs has improved the availability of timely electronic data from EDs for secondary uses however using these data for syndrome surveillance can still be problematic.

July 05, 2017

National Syndromic Surveillance Program (NSSP) BioSense Syndrome Definitions Workgroup - Report

This report summarizes a series of seven meetings of the Syndrome Definition Workgroup held in 2014 and 2015.


To review, validate, and modify syndromes and provide community input on a process to update or develop syndromes.

October 29, 2017

What is WEAVE, what can it do, and what is its future?

WEAVE is an interactive web-based analysis and visualization system. It links data (files, databases, sets, ...), multiple visualizations (maps, graphs, ...), and computational tools (statistics, data mining, modeling, simulation, ...). It was designed to provide easy access to existing data sets and simple upload of local data, allowing anyone to visualize any available data anywhere. WEAVE is free and open source - one less barrier to the democratization of data.

June 29, 2017

Modeling Spatial Heterogeneity with Excess Zeroes from School Absenteeism dSata

Absenteeism has been considered as a potential indicator for the early detection of infectious disease outbreaks in population, especially in primary schools. However, in practice this data are often characterized by an excess of zeros and spatial heterogeneity. In a project on integrated syndromic surveillance system (ISSC) in rural China, Random effect zero-inflated Poisson (RE-ZIP) model was applied to simultaneously quantify the spatial heterogeneity for “occurrence” and “intensity” on school absenteeism data.


November 22, 2017

Monitoring Acute Diarrhea via an Electronic Surveillance System in the Peruvian Navy

Syndromic surveillance can supplement diagnosis-based surveillance in resource-limited settings with limited laboratory infrastructure. Syndromic surveillance allows for early outbreak detection relative to traditional systems and enables community health monitoring during outbreaks. Monitoring and disease diagnosis can be strengthened using pre-diagnostic data and statistical algorithms to detect morbidity trends.

November 22, 2017

New Ways to Disseminate the US National Notifiable Disease Provisional Data

The NNDSS is a nationwide collaboration that enables all levels of public health (local, state, territorial, federal and international) to monitor, control, and prevent the occurrence and spread of state-reportable and nationally notifiable diseases and conditions. The NNDSS data are a critical source of information for monitoring disease trends, effectiveness of prevention and control programs, and policy development.

November 22, 2017

Surveillance of Cardio Vascular Risk Factors Among Patients Undergoing Coronary Artery Bypass Surgery

According to world health organization report 2011, coronary artery diseases are the number one cause of death globally: more people die annually from coronary artery diseases than from any other cause. An estimated 17.3 million people died from coronary artery diseases in 2008, representing 30% of all global deaths. Of these deaths, an estimated 7.3 million were due to coronary heart disease and 6.2 million were due to stroke.

December 03, 2017

Surveillance of Surveillance: Inventorying Gaps and Commonalities Across the Universe of Surveillance Systems

Health surveillance systems provide important functionalities to detect, monitor, respond, prevent, and report on a variety of conditions across multiple owners. They offer important capabilities, with some of the most fundamental including data warehousing and transfer, descriptive statistics, geographic analysis, and data mining and querying. We observe that while there is significant variety among surveillance systems, many may still report duplicative data sources, use basic forms of analysis, and provide rudimentary functionality.


December 03, 2017

Analytics, Machine Learning & NLP -- use in BioSurveillance and Public Health practice

Currently, there is an abundance of data coming from most of the surveillance environments and applications. Identification and filtering of responsive messages from this big data ocean and then processing these informative datasets to gain knowledge are the two real challenges in today’s applications.

September 25, 2017


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