A Review of Evaluations of Electronic Event-Based Biosurveillance Systems
نویسندگان
چکیده
منابع مشابه
A Review of Evaluations of Electronic Event-based Biosurveillance Systems
Electronic event-based biosurveillance systems (EEBS's) that use near real-time information from the internet are an increasingly important source of epidemiologic intelligence. However, there has not been a systematic assessment of EEBS evaluations, which could identify key uncertainties about current systems and guide EEBS development to most effectively exploit web-based information for bios...
متن کاملLandscape of international event-based biosurveillance
Event-based biosurveillance is a scientific discipline in which diverse sources of data, many of which are available from the Internet, are characterized prospectively to provide information on infectious disease events. Biosurveillance complements traditional public health surveillance to provide both early warning of infectious disease events and situational awareness. The Global Health Secur...
متن کاملTelemedicine: A systematic review of economic evaluations
Background: Telemedicine is an expanded term in health information technology that comprises procedures for transmitting medical information electronically to improve patients’ health status. The objective of this research is to evaluate the cost-effectiveness of telemedicine interventions in various specialty areas. Methods: The Cochrane Library and Centre for Review and Di...
متن کاملThe landscape of international event-based biosurveillance
The landscape of international event-based biosurveillance David Hartley, Noele Nelson, Ronald Walters, Ray Arthur, Roman Yangarber, Larry Madoff, Jens Linge, Abla Mawudeku, Nigel Collier, John Brownstein, Germain Thinus & Nigel Lightfoot To cite this article: David Hartley, Noele Nelson, Ronald Walters, Ray Arthur, Roman Yangarber, Larry Madoff, Jens Linge, Abla Mawudeku, Nigel Collier, John B...
متن کاملOptimizing biosurveillance systems that use threshold-based event detection methods
We describe a methodology for optimizing a threshold detection-based biosurveillance system. The goal is to maximize the system-wide probability of detecting an ‘‘event of interest” against a noisy background, subject to a constraint on the expected number of false signals. We use nonlinear programming to appropriately set detection thresholds taking into account the probability of an event of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLoS ONE
سال: 2014
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0111222