Syndromic Surveillance

Panchkroshi yatra is an annual ritual of circumambulation (yatra) of temples (Mahadevs) and 100,000 devotees walk for around 15 miles per day for six days and cover a total of 73 miles to worship important Mahadevs. The festival is held every year at the city of Ujjain, Madhya Pradesh, Central India. The yatra attracts large number of pilgrims especially from rural areas and usually women outnumber men. During the yatra, the pilgrims halt at several places and prepare their food in outdoors. We described the public health preparedness, implemented a tablet-based participatory syndromic surveillance among pilgrims of the yatra and reviewed satisfaction of the pilgrims regarding implementation of public health measures, Ujjain during 21-26, April, 2017.

Objective:

To study operation feasibility and prepadness of a a tablet-based participatory syndromic surveillance among pilgrims during annual ritual circumbulation (Panchkroshi Yatra) coveirng 15 miles daily in Ujjain, Madhya Pradesh India

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:

This paper presents an investigation using early notification methods to enhancing epidemic detection in syndromic surveillance data from royal Thai army in Thailand.

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.

Final Four-associated events culminated in four days of intense activity from March 31st through April 3rd, and added an estimated 400,000 visitors to Maricopa County's 4.2 million residents.

Objective:

To describe and present results for the enhanced epidemiologic surveillance system established during the 2017 National Collegiate Athletic Association Division I Men’s College Basketball Championship (Final Four) events.

Tobacco use is the leading global cause of preventable death, killing more than five million people per year. In addition, exposure to secondhand smoke is estimated to kill an additional 600,000 people globally each year. In 1986, the US Surgeon General’s Report declared secondhand smoke to be a cause of lung cancer in healthy nonsmokers. The first law restricting smoking in public places was enacted in 1973 in Arizona that followed the 1972 Surgeon General’s Report providing awareness of the negative health effects associated with the exposure to air pollution from tobacco smoke. Smoke-free laws were slowly enacted after this time point with most occurring after the year 2000. In July 2007, the Smoke Free Illinois Act (SB0500, Public Act 095-0017) was passed in IL. The ban went into effect on Jan 1, 2008 and Illinois joined 22 other states in prohibiting smoking in virtually all public places and workplaces including offices, theaters, museums, libraries, schools, commercial establishments, retail stores, bars, private clubs, and gaming facilities. While many studies have examined the effect of smoking bans on hospitalizations, this study would be the first to examine the effect of the comprehensive smoking ban in IL on ED visits by utilizing chronic disease categories created with ED chief complaint data captured by syndromic surveillance. The author hypothesizes that the comprehensive smoking ban in IL significantly reduced the ED visits associated with AMI, ACS, stroke, and COPD in adults in Cook County, IL.

Objective:

To utilize ED chief complaint data obtained from syndromic surveillance to quantify the effect of the Illinois smoking ban on acute myocardial infarction (AMI), acute coronary syndrome (ACS), stroke, and chronic obstructive pulmonary disease (COPD) related ED visits in adults in Cook County, IL.

Opioid overdoses are a growing cause of mortality in the United States. Medical prescriptions for opioids are a risk factor for overdose. This observation raises concerns that patients may seek multiple opioid prescriptions, possibly increasing their overdose risk. One route for obtaining those prescriptions is visiting the emergency department (ED) for pain-related complaints. Here, two hypotheses related to prescription seeking and overdoses are tested. (1) Overdose patients have a larger number of prior ED visits than matched controls. (2) Overdose patients have distinct patterns of pain-related complaints compared to matched controls.

Objective:

Identifying text features of emergency department visits associated with risk of future drug overdose.

The current surveillance system for opioid-related overdoses at UDOH has been limited to mortality data provided by the Office of the Medical Examiner (OME). Timeliness is a major concern with OME data due to the considerable lag in its availability, often up to six months or more. To enhance opioid overdose surveillance, UDOH has implemented additional surveillance using timely syndromic data to monitor fatal and nonfatal opioid-related overdoses in Utah.

Objective:

To monitor opioid-related overdose in real-time using emergency department visit data and to develop an opioid overdose surveillance report for Utah Department of Health (UDOH) and its public health partners.

Infectious disease surveillance for generating early warnings to enable a prompt response during mass gatherings has long been a challenge in India as well as in other parts of the world. Ujjain, Madhya Pradesh in Central India hosted one of the largest religious festival in the world called ‘Simhasth kumbh mela’ on the banks of River Kshipra, where more than 50 million attendees came for holy dip during April 22 to May 21, 2016. The attendees included pilgrims (residents and visitors), observers, officials and volunteers. We developed an android application with automated summary reports and an interactive dashboard for syndromic surveillance during the gathering.

Objective:

To develop, test and study tablet-based participatory syndromic surveillance system for common infectious disease conditions at community level in Simhashta religious mass gathering in Ujjain, India, 2016.

Standard syndrome definitions for ED visits in ESSENCE rely on chief complaints. Visits with more words in the chief complaint field are more likely to match syndrome definitions. While using ESSENCE, we observed geographic differences in chief complaint length, apparently related to differences in electronic health record (EHR) systems, which resulted in disparate syndrome matching across Idaho regions. We hypothesized that chief complaint and diagnosis code co-occurrence among ED visits to facilities with long chief complaints could help identify terms that would improve syndrome match among facilities with short chief complaints.

Objective:

We sought to use free text mining tools to improve emergency department (ED) chief complaint and discharge diagnosis data syndrome definition matching across facilities with differing robustness of data in the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) application in Idaho’s syndromic surveillance system.