Heth Zachary

Hepatitis C virus (HCV) infections are increasing nationwide and are of particular concern in Tennessee, especially among individuals of reproductive age.1,2 Maternal HCV status reported on the birth certificate reveals that the rate of HCV among women giving birth in TN increased 163% from 2009-2014.3 Further, a 2017 TN Department of Health (TDH) study found that 30% of reproductive aged women with newly reported chronic HCV in TN were determined to be pregnant. While current treatment options are not recommended for children under 12, it is critical to identify an infant’s HCV status in order for him/her to receive proper care. Given the high rates of pregnancy reported among women with newly diagnosed HCV, we sought to expand viral hepatitis surveillance efforts to quantify the extent of the burden of HCV among women giving birth in TN, utilizing surveillance data in lieu of standalone birth certificate data.

Objective: 1. To quantify the burden of perinatal hepatitis C (HCV) exposure and examine the geographic variation in Tennessee (TN). 2. Develop new surveillance strategies for retrospective tracking of perinatal HCV exposures.

The use of social media as a syndromic sentinel for diseases is an emerging field of growing relevance as the public begins to share more online, particularly in the area of influenza. Several applications have been developed to predict or monitor influenza activity using publicly posted or self-reported online data; however, few have prioritized accuracy at the local level. In 2016, the Cook County Department of Public Health (CCDPH) collected localized Twitter information to evaluate its utility as a potential influenza sentinel data source. Tweets from MMWR week 40 through MMWR week 20 indicating influenza-like illness (ILI) in our jurisdiction were collected and analyzed for correlation with traditional surveillance indicators. Social media has the potential to join other sentinels, such as emergency room and outpatient provider data, to create a more accurate and complete picture of influenza in Cook County.

Objective:

To determine if social media data can be used as a surveillance tool for influenza at the local level.

In 2005, the Cook County Department of Public Health (CCDPH) began using the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) as an emergency department (ED)-based local syndromic surveillance program (LSSP); 23 (100%) of 23 hospitals in suburban Cook County report to the LSSP. Data are transmitted in delimited ASCII text files (i.e., flat files) and contain a unique patient identifier, visit date and time, zip code, age, sex, and chief complaint. Discharge diagnosis and disposition are optional data elements. Prior to 2017, the Illinois Department of Public Health placed facilities participating in the Cook LSSP in a holding queue to transform their flat file submissions into a HL7 compliant message; however as of 2017, eligible hospitals must submit HL7 formatted production data to IDPH to fulfill Meaningful Use. The primary syndromic surveillance system for Illinois is the National Syndromic Surveillance Program (NSSP), which transitioned to an ESSENCE interface in 2016. As of December 2016, 20 (87%) of 23 hospitals reporting to the LSSP also reported to IDPH and the NSSP. As both syndromic surveillance systems aim to collect the same data, and now can be analyzed with the same interface, CCDPH sought to compare the LSSP and NSSP for data completeness, consistency, and other attributes.

Objective:

This analysis was undertaken to determine how the data completeness, consistency, and other attributes of our local syndromic surveillance program compared to the National Syndromic Surveillance Platform.