Evaluation of Vaccine Preventable Diseases (Measles and Diphtheria) Surveillance System - Delhi, India, 2013

The vaccine preventable diseases (VPDs) of measles and diphtheria in India were responsible for 47% of global measles mortality and 20% of global diphtheria mortality in 2010. We evaluated the VPD surveillance system of Delhi, focusing on measles and diphtheria.


The specific objective was to evaluate the VPD surveillance system of Delhi, focusing on measles and diphtheria.

August 31, 2017

A Tool to Improve Communicable Disease Surveillance Data

NYS (excluding NYC) has a very robust Communicable Disease Electronic Surveillance System (CDESS). This system provides disease specific modules, as well as a tracking system for contacts, and a perinatal infant tracking system. This system provides an easy way for users to quickly download a file with all of their data.

August 07, 2017

Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance

On October 1, 2015, the number of ICD codes will expand from 14,000 in version 9 to 68,000 in version 10. The new code set will increase the specificity of reporting, allowing more information to be conveyed in a single code. It is anticipated that the conversion will have a significant impact on public health surveillance by enhancing the capture of reportable diseases, injuries, and conditions of public health importance that have traditionally been the target of syndromic surveillance monitoring.

September 07, 2017

Alert-Enabled Application Integrating Data Quality Monitoring for Multiple Sources

Data sets from disparate sources widely vary in the number and type of factors which most hamper integrity and timeliness of the data. To maintain high quality data, data sets must be regularly assessed, particularly for those vulnerabilities that each is especially prone to due to the methods involved in collecting the data. For surveillance practitioners charged with monitoring data from multiple data sources, keeping track of the issues that each data set is susceptible to, and quickly identifying any inconsistencies or deviations from normal trends, may be a challenge.

August 07, 2017

Factors Influencing the Stability and Quality of the French ED Surveillance System

Since 2004, the French syndromic surveillance system Oscour® has been implemented by the national institute for public health surveillance (InVS) and is daily used to detect and follow-up various public health events all over the territory [1]. Beginning with 23 ED in 2004, the coverage and data quality have permanently been increasing until including about 650 ED in August 2015.

September 11, 2017

An Open Source Quality Assurance Tool for HL7 v2 Syndromic Surveillance Messages

The CMS EHR Incentive Programs include a measure for meaningful use of EHR systems for submitting syndromic surveillance messages to public health. The Stage 2 measure defines the standard for transmission to be HL7 v2.5.1 Admit/Discharge/Transfer messages according to the PHIN Messaging Guide for Syndromic Surveillance and Conformance Clarification for EHR Certification of Electronic Syndromic Surveillance, Addendum to PHIN Messaging Guide for Syndrome Surveillance. The National Institute of Standards and Technology (NIST) provides an online testing tool for validating messages.

August 22, 2017

An R Script for Assessment of Data Quality in the BioSense Locker Database

Syndromic surveillance requires reliable, accurate, and complete healthcare encounter data to assess patterns of illness and respond to public health events. Illinois implemented syndromic surveillance statewide in response to Meaningful Use reporting objectives. To address the need for continuous, automated assessment following initial on-boarding of facility Emergency Department data, we developed an R script to assess the quality of data in the private BioSense locker database.

August 23, 2017

Analysis of ED and UCC Visits Related to Synthetic Marijuana in ESSENCE-FL, 2010-2015

Illnesses related to synthetic marijuana use have been reported in many states, including Florida. Because these visits can present with a variety of symptoms, as well as be attributed to numerous diagnosis codes, it can be difficult to identify and quantify these visits. The Electronic Surveillance System for the Early Notification of Community-based Epidemics in Florida (ESSENCE-FL) receives chief complaint (CC) and discharge diagnosis (DD) data as free text allowing uncommon or new terms to be searched for within each patient visit.

August 23, 2017

Better, Stronger, Faster: Why Add Fields to Syndromic Surveillance? New Jersey, 2015

In New Jersey, real-time emergency department (ED) data are currently received from EDs by Health Monitoring Systems Inc.’s (HMS) EpiCenter, which collects, manages and analyzes ED registration data for syndromic surveillance, and provides alerts to state and local health departments for surveillance anomalies.

August 23, 2017

Enhancing EpiCenter Data Quality Analytics with R

The EpiCenter syndromic surveillance platform currently uses Java libraries for time series analysis. Expanding the data quality capabilities of EpiCenter requires new analysis methods. While the Java ecosystem has a number of resources for general software engineering, it has lagged behind on numerical tools. As a result, including additional analytics requires implementing the methods de novo.

August 29, 2017


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