Big Data Analytics for Mass Casualty Incident (MCI) Situational Awareness

A variety of big data analytics, techniques and tools including social media analytics, open source visualizations, statistical anomaly detection, use of Application Programming Interfaces (APIs), and geospatial mapping, are used for infectious disease biosurveillance. Using these methodologies, policy makers and practitioners detect and monitor outbreaks across the world near real time, in multiple languages, 24/7. The non-infectious disease community, namely critical care, injury, and trauma stakeholders, currently lack this level of sophistication.

October 09, 2017

Special Literature Review: 2014 Awards for Outstanding Research Articles in Biosurveillance Finalists

ISDS Members are invited to vote for the winners of the 2014 Awards for Outstanding Research Articles from Tuesday, July 29 - Thursday, August 14. This special literature review will highlight each of the finalist articles.

July 24, 2017

A Conceptual Strategy for Stengthening eSurveillance in the African Region

In response to major epidemic and pandemic outbreaks, WHO-AFRO and its Member States have adopted the Integrated Disease Surveillance and Response (IDSR) strategy to address International Health Regulations (2005) as well as individual Member State’s national disease control objectives. Significant progress has been made scaling-up capacity for disease surveillance and response using the IDSR guidelines, including implementation of IHR, the WHO African Region has experienced many challenges in designing, developing and implementing electronic surveillance systems.

August 22, 2018

DADAR: A New Situational Awareness Platform for Data Analysis, Detection and Response

We previously experimented with tracking influenza in ER chief complaint data using existing syndromic surveillance tools. We identified several deficiencies in these tools: poor natural language processing, inefficient user interfaces, frequent (thus costly) false alarms, and one-size-fits-all approaches to syndromes. Furthermore, we were surprised that some epidemiologists we spoke with had relatively little faith in existing surveillance tools, and so we set out to build one that would address their concerns: DADAR (Data Analysis, Detection, And Response).

August 22, 2018

BioSense 2.0

BioSense 2.0 protects the health of the American people by providing timely insight into the health of communities, regions, and the nation by offering a variety of features to improve data collection, standardization, storage, analysis, and collaboration. BioSense 2.0 is the result of a partnership between the Centers for Disease Control and Prevention (CDC) and the public health community to track the health and well-being of communities across the country.

January 24, 2018

Evaluating a Social Network Analytic Tool to Support Outbreak Management and Contact Tracing in an Outbreak of Pertussis

Pertussis (i.e., whooping cough) is on the rise in the US. To implement effective prevention and treatment strategies, it is critical to conduct timely contact tracing and evaluate people who may have come into contact with an infected person. We describe a collaborative effort between epidemiologists and public health informaticists at the Utah Department of Health (UDOH) to determine the feasibility and value of a network-analytic approach to pertussis outbreak management and contact tracing.

Objective: 

March 19, 2018

Fusion Analytics: A Data Integration System for Public Health and Medical Disaster Response Decision Support

Fusion Analytics is the data integration system developed by the Fusion Cell at the U.S. Department of Health and Human Services (HHS), Office of the Assistant Secretary for Preparedness and Response (ASPR). Fusion Analytics meaningfully augments traditional public and population health surveillance reporting by providing webbased data analysis and visualization tools.

Objective

May 17, 2018

Novel Emergency Department High Utilizer Surveillance In New Hampshire

Researchers have demonstrated benefits to identifying and developing interventions for patients that frequently seek healthcare services in the ED. The New Yorker Magazine, recently published an article titled The Hot Spotters, summarizing work being done in the United States to lower medical costs by giving the neediest patients better healthcare (1).

June 25, 2018

Refactoring INDICATOR into an Advanced Information System for One Health Monitoring

INDICATOR is a multi-stream open source platform for biosurveillance and outbreak detection, currently focused on Champaign County in Illinois[1]. It has been in production since 2008 and is currently receiving data from emergency departments, patient advisory nurse call center, outpatient convenient care clinic, school absenteeism, animal control, and weather sources. Long term scalability was however compromised during the 2009 H1N1 influenza pandemic as immediate public health needs took priority over our systematic development plan.

July 05, 2018

SMART Platforms: Building The App Store for Biosurveillance

Health care information is a fundamental source of data for biosurveillance, yet configuring EHRs to report relevant data to health departments is technically challenging, labor intensive, and often requires custom solutions for each installation. Public health agencies wishing to deliver alerts to clinicians also must engage in an endless array of one-off systems integrations.

July 05, 2018

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