UPDATED: Syndromic Surveillance 101 - An Introductory Course in Syndromic Surveillance

An Online Training Course

Ever wonder what syndromic surveillance is? How it is applied? This introduction to syndromic surveillance answers your questions and gives you a foundation for understanding how surveillance is used by public health professionals to understand health threats.

 

This video introduces the viewer to the basics of syndromic surveillance and offers a high-level overview of the many uses of this public health tool. Topics covered in this training include:

November 29, 2018

Syndromic Surveillance on the Mental Health Impact of Political Rallies in Charlottesville, Virginia

As part of a wide-spread community discussion on the presence of monuments to Confederate Civil War figures, the Charlottesville city council voted to remove a statue of General Robert E. Lee. Multiple rallies were then held to protest the statue’s removal. A Ku Klux Klan (KKK) rally on July 8, 2017 (MMWR Week 27) and a Unite the Right rally on August 12, 2017 (MMWR Week 32) held in Charlottesville both resulted in violence and media attention. The violence associated with the Unite the Right rally included fatalities connected to motor vehicle and helicopter crashes.

January 19, 2018

Validation of Syndromic ILI Data for Use in CDC’s ILINet Surveillance, Pennsylvania

ILINet is a CDC program that has been used for years for influenza-like illness (ILI) surveillance, using a network of outpatient providers who volunteer to track and report weekly the number of visits due to ILI and the total number of visits to their practice. Pennsylvania has a network of 95 providers and urgent care clinics that submit data to ILINet. However, ongoing challenges in recruiting and retaining providers, and inconsistent weekly reporting are barriers to receiving accurate, representative, and timely ILI surveillance data year-round.

January 21, 2018

Updates to the Implementation Guide for Syndromic Surveillance

In 2011, the CDC released the PHIN Implementation Guide (IG) for Syndromic Surveillance v.1 under the Public Health Information Network. In the intervening years, new technological advancements, EHR capabilities as well as epidemiological and Meaningful Use requirements have led to the periodic update and revision of the IG through informal and semi-structured solicitation and collection of comments from across public health, governmental, academic, and EHR vendor stakeholders.

January 25, 2018

Investigating Other Syndrome in ESSENCE from a Data Quality Perspective

The Louisiana Office of Public Health (OPH) Infectious Disease Epidemiology Section (IDEpi) conducts syndromic surveillance of Emergency Department (ED) visits through the Louisiana Early Event Detection System (LEEDS) and submits the collected data to ESSENCE. There are currently 86 syndromes defined in LEEDS including infectious disease, injury and environmental exposure syndromes, among others. LEEDS uses chief complaint, admit reason, and/or diagnosis fields to tag visits to relevant syndromes.

January 25, 2018

Syndromic Surveillance Analysis & Interpretation

Presented January 31, 2018

 

David Swenson presented the following slides during the 2018 ISDS Annual Conference in Orlando, Florida. This presentation provides a use case for developing and implementing surveillance prodocols to conduct public health monitoring, analyze data collected, and engage partners/leadership in follow-up procedures.

 

Presenter: David Swenson, AHEDD Project Manager, Infectious Disease Surveillance Section DPHS, DHHS, New Hampshire

January 26, 2019

Use of Diagnosis Code in Mental Health Syndrome Definition

Between 2006 and 2013, the rate of emergency department (ED) visits related to mental and substance use disorders increased substantially. This increase was higher for mental disorders visits (55 percent for depression, anxiety or stress reactions and 52 percent for psychoses or bipolar disorders) than for substance use disorders (37 percent) visits. This increasing number of ED visits by patients with mental disorders indicates a growing burden on the health-care delivery system.

January 19, 2018

Enhancing Epidemic Detection Using Syndromic Surveillance and Early Notification Methods

Early Notification Detection Systems have taken a critical role in providing early notice of disease outbreaks. To improve the detection methods for disease outbreaks, many detection methods have been created and implemented. However, there is limited information on the effectively of syndromic surveillance in Thailand. Knowing the performance, strengths and weakness of these surveillance systems in providing early warning for outbreaks will increase disease outbreak detection capacity in Thailand.

Objective:

January 21, 2018

Beginner R methods for syndromic surveillance data validation

There are currently 123 healthcare facilities sending data to the Washington (WA) State syndromic surveillance program. Of these facilities, 30 are sending to the National Syndromic Surveillance Program'™s (NSSP) production environment. The remainder are undergoing validation or in queue for validation. Given the large number of WA healthcare facilities awaiting validation, staff within the state syndromic surveillance program developed methods in R to reduce the amount of time required to validate data from an individual facility.

Objective:

January 25, 2018

Effect of the Work Week on Demographics of Heat-Related Illness Patients in Syndromic Surveillance

As global temperatures increase, so too does interest in the effect of climate change on the population’s health. 2016 represented the hottest year on record globally and well above the 20th century average in Virginia. With large-scale climate change comes an increase in severe weather patterns, including heat waves. Heat waves can have immense health impacts on a community, including heat stroke, heat exhaustion, and dehydration.

January 25, 2018

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INTERNATIONAL SOCIETY FOR
DISEASE SURVEILLANCE

288 Grove Street, Box 203
Braintree, MA 02184
(617) 779 0880
Email:syndromic@syndromic.org

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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