Human-learned lessons about machine learning in public health surveillance

Presented December 13, 2018.

For public health surveillance, is machine learning worth the effort? What methods are relevant? Do you need special hardware? This talk was motivated by these and other questions asked by ISDS members. It will focus on providing practical—and slightly opinionated—advice about how to determine whether machine learning could be a useful tool for your problem.

Presenter

December 21, 2018

Anthrax Assist: Modeling Tool for Planning and Decision Support During Early Days of an Anthrax Event

Presented April 24, 2018.

*This article was selected as the second prize awardee of the 2018 ISDS Awards for Outstanding Research Articles in Biosurveillance in the category of "Scientific Achievement."

April 24, 2018

Virtual Speed Networking with the Analytic Solutions Committee (ASC)

Presented January 11, 2018.

The purpose of the event was to stimulate and facilitate constructive communication and collaboration among analytic method developers and practitioners charged with routine public health surveillance, ranging from disease outbreak surveillance to chronic disease burden assessment and disaster response.

January 11, 2018

Oregon Short Surveillance Report Template

This one-page report template is provided by the Oregon Public Health Division Health Intelligence Branch and will adapted for statewide surveillance of the 2017 Solar Eclipse.

 

August 17, 2017

Coordinated Enhanced Surveillance with Healthcare Entities for Mass Gathering Events

Mass gatherings can result in morbidity and mortality from communicable and non-communicable diseases, injury, and bioterrorism. Therefore, it is important to identify event-related visits as opposed to community-related visits when conducting public health surveillance. Previous mass gatherings in Virginia have demonstrated the importance of implementing enhanced surveillance to facilitate early detection of public health issues to allow for timelyresponse.

August 21, 2017

Dengue Surveillance and Control: One Health Case Study

Pakistan being a subtropical region is highly susceptible to water-borne, air-borne and vector-borne infectious diseases (IDs). Each year, millions of its people are exposed to, and infected with, deadly pathogens including hepatitis, tuberculosis, malaria, and now-a-days dengue fever (DF). Monitoring and response management to natural or man-made IDs is non-existent in the country due to lack of robust infrastructure for health surveillance. DF outbreaks in 2005-2011 alone resulted in more than 50,000 infections and about 1500 people lost their lives.

September 29, 2017

Real-time surveillance for chronic conditions in Massachusetts using EHR data

Public health agencies and researchers have traditionally relied on the Behavioral Risk Factor Surveillance System (BRFSS) and similar tools for surveillance of non-reportable conditions. These tools are valuable but the data are delayed by more than a year, limited in scope, and based only on participant self-report. These characteristics limit the utility of traditional surveillance systems for program monitoring and impact assessments.

August 08, 2017

Facile Dashboard Creation Using Library of Syndromic Surveillance Visualization Tools

Public health surveillance largely relies on the use of surveillance systems to facilitate the identification and investigation of epidemiologic concerns reflected in data. In order to support public health response, these systems must present relevant information, and be user-friendly, dynamic, and easily-implementable. The abundance of R tools freely-available online for data analysis and visualization presents not only opportunities but also challenges for adoption in that these tools must be integrated so as to allow a structured workflow.

June 19, 2017

Jurisdictional Usage of the New ESSENCE Word Alert Feature

Syndromic surveillance systems have historically focused on aggregating data into syndromes for analysis and visualization. These syndromes provide users a way to quickly filter large amounts of data into a manageable number of streams to analyze. Additionally, ESSENCE users have the ability to build their own case definitions to look for records matching particular sets of criteria. Those user- defined queries can be stored and analyzed automatically, along with the pre-defined syndromes.

July 10, 2017

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INTERNATIONAL SOCIETY FOR
DISEASE SURVEILLANCE

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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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