Public health surveillance systems rely on the automated monitoring of large amounts of text. While building a text mining system for veterinary syndromic surveillance, we exploit automatic and semi-automatic methods for terminology construction at different stages. Our approaches include term extraction from free-text, grouping of term variants based on string similarity, and linking to an exi...

Introduction Aberration detection methods are essential for analyzing and interpreting large quantity of nonspecific real-time data collected in syndromic surveillance system. However, the challenge lies in distinguishing true outbreak signals from a large amount of false alarm (1). The joint use of surveillance algorithms might be helpful to guide the decision making towards uncertain warning ...

4. Buehler JW, Berkelman RL, Hartley DM, Peters CJ. Syndromic surveillance and bioterrorism-related epidemics. Emerg Infect Dis. 2003;9:1197–204. 5. Centers for Disease Control and Prevention. In the absence of SARS-CoV transmission worldwide: guidance for surveillance, clinical and laboratory evaluation, and reporting, version 2; January 21, 2004. [cited 2003 Jun 2]. Available from: http://www...

Introduction: The 2022 Commonwealth Games (B2022) was hosted by Birmingham, United Kingdom (UK) from July, 28 to August 8, 2022. As a major global sporting event and mass gathering, B2022 included over 4,500 athletes (from 72 countries territories) attracted 1.5 million spectators. Robust public health surveillance support for protection incidents required the UK Health Security Agency (UKHSA) ...

To validate the utility of a chief complaint-based emergency department surveillance system, we compared it with respiratory diagnostic data and calls to Telehealth Ontario about respiratory disease. This local syndromic surveillance system accurately monitored status of respiratory diseases in the community and contributed to early detection of respiratory disease outbreaks.

During a recent natural disaster public health staff required timely and comprehensive surveillance of priority health conditions, including injury, mental health disorders and selected infectious diseases, to inform response and recovery activities. Although traditional surveillance is of value in such settings it is constrained by a focus on notifiable conditions and delays in reporting. The ...

Objective This project aims to fill a growing county-level health data gap through the development of a low-cost, Excel-based surveillance tool. This prototype utilizes emergency department data (ED) collected by NC DETECT, a state-wide syndromic surveillance system, in order to visualize, monitor, and compare annual local health indicators for use in local decision making. In this way, the pro...

Recruiting individuals into the HTLV cohort study in the United Kingdom: clinical findings and challenges in the first Syndromic surveillance of epidemic-prone diseases in response to an influx of Following civil unrest in North Africa early in 2011, there was a large influx of migrants in Italy. A syndro-mic surveillance system was set up in April to monitor the health of this migrant populati...

In this work we propose the adoption of a statistical framework used in the evaluation of forensic evidence as a tool for evaluating and presenting circumstantial "evidence" of a disease outbreak from syndromic surveillance. The basic idea is to exploit the predicted distributions of reported cases to calculate the ratio of the likelihood of observing n cases given an ongoing outbreak over the ...

OBJECTIVE To explore the applicability of a syndromic surveillance method to the early detection of health information technology (HIT) system failures. METHODS A syndromic surveillance system was developed to monitor a laboratory information system at a tertiary hospital. Four indices were monitored: (1) total laboratory records being created; (2) total records with missing results; (3) aver...