Semantic Analysis of Open Source Data for Syndromic Surveillance

Social media messages are often short, informal, and ungrammatical. They frequently involve text, images, audio, or video, which makes the identification of useful information difficult. This complexity reduces the efficacy of standard information extraction techniques1. However, recent advances in NLP, especially methods tailored to social media2, have shown promise in improving real-time PH surveillance and emergency response3. Surveillance data derived from semantic analysis combined with traditional surveillance processes has potential to improve event detection and characterization.

August 10, 2017

A regional approach for the influenza surveillance in France

To describe the results of the new organization of influenza surveillance in France, based on a regional approach. This regional multi-source approach has been made possible by the sharing of data visualizations and statistical results through a web application. This application helped detecting early the epidemic start and allowed a reactive communication with the regional health authorities in charge of the organization of health care, the management and the setting up of the appropriate preventive measures.

June 09, 2017

Monitoring child mental health related emergency department visits in New York City

From 2001-2011, mental health-related hospitalizations and ED visits increased among United States children nationwide. During this period, mental health-related hospitalizations among NYC children increased nearly 23%. To estimate mental health-related ED visits in NYC and assess the use of syndromic surveillance chief complaint data to monitor these visits, we compared trends from a near real-time syndromic system with those from a less timely, coded ED visit database. 

Objective

July 16, 2017

Spatial analysis of SS population coverage based on emergency regional healthcare

SOS Médecins France (SOS Med) is the first private and permanent network of general practitioners providing emergency care in France. Besides Hospital emergency departments (HED), SOS Med is therefore a major source of data for detecting and measuring nearreal-time health phenomena. The emergency services provided by the SOS Med have been subject to important changes in the recent years. Their services are enriched by a medical consultation center together with extended working hours.

August 10, 2017

Monitoring for Local Transmission of Zika Virus using Emergency Department Data

The first travel-associated cases of Zika virus infection in New York City (NYC) were identified in January 2016. Local transmission of Zika virus from imported cases is possible due to presence of Aedes albopictus mosquitos. Timely detection of local Zika virus transmission could inform public health interventions and mitigate additional spread of illness. Daily emergency department (ED) visit surveillance to detect individual cases and spatio-temporal clusters of locally-acquired Zika virus disease was initiated in June 2016. 

Objective

July 16, 2017

Streamling Syndromic Surveillance Submission on a Dime: Oregon’s Experience

In 2012, the Oregon Public Health Division (OPHD) took advantage of the opportunity created by Meaningful Use, a Centers for Medicare & Medicaid Services (CMS) Incentive Program, to implement statewide syndromic surveillance. The Oregon syndromic surveillance project, or Oregon ESSENCE, began accepting MUcompliant HL7 2.5.1 data in late 2013. Early onboarding efforts were labor-intensive and led to the creation of a testing queue.

August 10, 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

Monitoring the 2016 LA County Sand Fire with Multiple Early Detection Systems

On July 22, 2016, the Sand Fire began burning in the Santa Clarita Valley of Los Angeles County (LAC), CA. This urban-adjacent wildfire breached the city limits of Santa Clarita (population 180,000). Fueled by record heat and an ongoing exceptional drought, the Sand Fire burned over 40,000 acres in 13 days and caused a large increase in the air concentration of fine particulate matter. The syndromic surveillance team was tasked with reporting on possible health effects from the fire. Fire, asthma, and heat related data were monitored until the fire was reported as 98% contained.

July 17, 2017

Syndromic surveillance and UEFA Euro 2016 in France – Health impact assessment

France hosted 2016 UEFA European Football Championship between June 10 and July 10. In the particular context of several terrorist attacks occurring in France in 2015 [1], the French national public health agency « Santé publique France » (formerly French Institute for Public Health Surveillance-InVS) was mandated by the Ministry of Health to reinforce health population surveillance systems during the UEFA 2016 period. Six French regions and 10 main stadiums hosted 51 matches and several official and nonofficial dedicated Fan Zones were implemented in many cities across national territory.

August 20, 2017

Using Sydromic Surveillance to Track E-cigarette Related Emergency Department Visits

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

August 26, 2017

Pages

Contact Us

NSSP Community of Practice

Email: syndromic@cste.org

 

This website is supported by Cooperative Agreement # 6NU38OT000297-02-01 Strengthening Public Health Systems and Services through National Partnerships to Improve and Protect the Nation's Health between the Centers for Disease Control and Prevention (CDC) and the Council of State and Territorial Epidemiologists. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of CDC. CDC is not responsible for Section 508 compliance (accessibility) on private websites.

Site created by Fusani Applications