Assessing address data quality for public health surveillance in Montreal

In Montreal, notifiable diseases are reported to the Public Health Department (PHD). Of 44, 250 disease notifications received in 2009, up to 25% had potential address errors. These can be introduced during transcription, handwriting interpretation and typing at various stages of the process, from patients, labs and/or physicians, and at the PHD. Reports received by the PHD are entered manually (initial entry) into a database. The archive personnel attempts to correct omissions by calling reporting laboratories or physicians.

June 18, 2019

Automated detection of data entry errors in a real time surveillance system

Real-Time Biosurveillance Program (RTBP) introduces modern surveillance technology to health departments in Sri Lanka and Tamil Nadu, India. Triage data from each patient visit (basic demographics, signs, symptoms, preliminary diagnoses) is recorded on paper at health facilities. Case records are transmitted daily to a central database using the RTBP mobile phone application. It is done by medical professionals in India, but in Sri Lanka, due to staffing constraints, the same duty is performed by lower cost personnel with limited domain knowledge.

June 18, 2019

Using the Emergency Medical Text Processor to Standardize Chief Complaints in Boston's Syndromic Surveillance System

Abbreviation, misspellings, and site specific terminology may misclassify chief complaints syndromes. The Emergency Medical Text Processor (EMT-P) is system that cleans emergency department chief complaints and returns standard terms. However, little information is available on the implementation of EMT-P in a syndromic surveillance system.



To describe the implementation and baseline evaluation of EMT-P developed by the University of North Carolina.

July 30, 2018

Enhanced Surveillance Improved Timeliness and Sensitivity at the FIFA 2006 World Cup in Germany

Security threats and the recent emergence of avian influenza in Europe have heightened the profile of and need for a good surveillance strategy during such events. The two main rationales for enhanced infectious disease surveillance at mass events include a perceived increased risk of infectious disease events and a need to detect and respond to events more quickly.

March 26, 2019

Emergency Department Data Quality Best Practices

Data quality for syndromic surveillance extends beyond validating and evaluating syndrome results. Data aggregators and data providers can take additional steps to monitor and ensure the accuracy of the data. In North Carolina, hospitals are mandated to transmit electronic emergency department data to the North Carolina Disease Event Tracking and Epidemiologic Tool (NC DETECT) system at least every 24 hours.

July 30, 2018

Evaluating the Validity of ED Visit Data for Biosurveillance

The North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT) receives a designated set of data elements electronically available from 110 emergency departments (EDs) (98%) on at least a daily basis via a third party data aggregator.

July 30, 2018

Multi-Sectored Approach to Evaluation of a Syndromic Surveillance System

In September 2004, Kingston, Frontenac and Lennox and Addington Public Health began a 2-year pilot project to develop and evaluate an Emergency Department Chief Complaint Syndromic Surveillance System in collaboration with the Ontario Ministry of Health and Long Term Care – Public Health Branch, Queen’s University, Public Health Agency of Canada, Kingston General Hospital and Hotel Dieu Hospital.

July 30, 2018

The Cost of Obfuscation When Reporting Locations of Cases in Syndromic Surveillance Systems

In a classical surveillance system one looks for disturbances in the number of cases, but in a spatio-temporal system, not only the number of cases observed but also where they are located is reported. What location is reported, and to which degree of accuracy it is reported are important. At one extreme les near-perfect information about each case, as with contact tracing; at the other extreme we have no information about location; viz. just that the patient exisits, or a temporal system.

July 30, 2018

Alabama Department of Public Health–Syndromic Surveillance Monitoring and Improving Data Quality

Data latency limited the Alabama Department of Public Health’s (ADPH) ability torecognize and respond quickly to public health threats. Despite ADPH’s request that 95% of syndromic surveillance (SyS) data be submitted to ESSENCE* within 24 hours of a visit, some facilities were slow to process and submit data, diminishingthe data’s usefulness for surveillance that, in turn, negated ESSENCE’s ability tofunction as a daily alert. Data could be one to several days late, depending on whether a facility was processing or sending data or was offline.

March 08, 2019


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