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Infectious Disease

Query purpose: 

To assist state, tribal, local, territorial, and federal public health practitioners in identifying visits in the emergency department (ED) and urgent care (UC) settings with diagnostic codes associated with a broad range of acute respiratory illnesses. This includes codes associated with specific respiratory infections (e.g., Influenza, respiratory syncytial virus [RSV], or coronavirus), and codes associated with general respiratory illness such as cough or pneumonia.

Query Description:

Submitted by rtugan on

To assist state, local, tribal, territorial, and federal public health practitioners in identifying patients likely to have varicella (chickenpox) by reviewing visits in the emergency department (ED) and urgent care (UC) settings for early varicella outbreak detection and to supplement case-finding using syndromic surveillance data.

 

Submitted by knowledge_repo… on

Why the syndrome was created:

The purpose of the CDC Legionella v1 ESSENCE query is to capture potential visits related to Legionella. It is useful to identify potential cases for follow-up, conduct situation awareness and monitoring of outbreaks, and perform retrospective trend monitoring across geographic regions to identify possible disease hotspots, etc.

Data sources the syndrome was used on (e.g., emergency room, EMS, air quality):

Emergency room

Submitted by hmccall on
  • Why the syndrome was created? This syndrome was created to monitor Lyme disease related emergency room visits using regular expressions in R. 
  • Syndromic surveillance system (e.g., ESSENCE, R STUDIO, RODS, etc.) Data collected from Epicenter, but parsed and analysed in R/Rstudio
  • Data sources the syndrome was used on (e.g., Emergency room, EMS, Air Quality, etc.) Emergency room and Urgent Care
Submitted by Anonymous on
  • Why the syndrome was created? This syndrome was created to monitor tick related emergency room visits using regular expressions in R. 
  • Syndromic surveillance system (e.g., ESSENCE, R STUDIO, RODS, etc.) Data collected from Epicenter, but parsed and analysed in R/Rstudio
  • Data sources the syndrome was used on (e.g., Emergency room, EMS, Air Quality, etc.) Emergency room and Urgent Care
Submitted by Anonymous on

In WA, we've been using a series of increasingly broad queries to monitor measles. The number of visits mentioning measles increases during an outbreak as a result of people seeking care because they were (or think) they were exposed, seeking titers, vaccinations, or having seen reports of measles on the news and concerns than an illness could be measles. As a result, it is important to focus in on visits of highest suspicion as mentions of measles increase.

Submitted by Anonymous on

Uploaded on behalf of Grace Marx, MD, MPH: Bacterial Diseases Branch, Division of Vector-Borne Diseases, CDC.

 

This syndrome definition was created to explore tick through Syndromic data as an efficient approach to monitor the tick-borne diseases and the utility of tick bite visits to predict the seasonal peak in Lyme disease.

This was created in NSSP ESSENCE, using the Chief Complaint Query Validation (CCQV) data to ensure a broad application across different states and jurisdictions.

Submitted by ZSteinKS on

Uploaded on behalf of Grace Marx, MD, MPH: Bacterial Diseases Branch, Division of Vector-Borne Diseases, CDC.

 

This syndrome definition was created to explore Lyme disease through Syndromic data as an efficient approach to monitor the disease. 

This was created in NSSP ESSENCE, using the Chief Complaint Query Validation (CCQV) data to ensure a broad application across different states and jurisdictions.

Submitted by ZSteinKS on

This syndrome was designed to capture rabies PEP visits and animal bites (excluding insect, human, snake, arachnid, and fish bites).

The query is designed using ESSENCE syntax (from the query portal)

The query is designed to be run against emergency department and urgent care center data by querying the chief complaint-discharge diagnosis (CCDD) field.

The query does not include ICD-10 or SNOMED codes (we receive textual descriptions of all discharge diagnoses), but the codes could certainly be added.

 

Submitted by Anonymous on
  • Why the syndrome was created?
    • Track food poisoning and potential disease outbreaks due to infected food 
  • Syndromic surveillance system (e.g., ESSENCE, R STUDIO, RODS, etc.)
    • ESSENCE 
  • Data sources the syndrome was used on (e.g., Emergency room, EMS, Air Quality, etc.)
    • Patient Location Full Details 
  • Fields used to query the data (e.g., Chief Complaint, Discharge Diagnosis, Triage Notes, etc.)
    • CCandDD
Submitted by Anonymous on