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 Security Action Group of the Global Health Security Initiative is developing a biosurveillance capability that integrates and leverages component systems from member nations. This work discusses these biosurveillance systems and identifies needed future studies.JRC.DG.G.2-Global security and crisis managemen
A biofoundry is a highly automated facility for processing of biological samples. In that capacity i...
Electronic event-based biosurveillance systems (EEBS’s) that use near real-time information from the...
BACKGROUND: Internet-based biosurveillance systems have been developed to detect health threats usin...
Biosurveillance is the regular collection, analysis, and interpretation of health and health-related...
AbstractInternet biosurveillance utilizes unstructured data from diverse web-based sources to provid...
Collier N, Doan S, Goodwin RM, et al. Navigating the Information Storm: Web-Based Global Health Surv...
The Early Alerting and Reporting (EAR) project launched in 2008, is aimed at improving global early ...
In recent years, biosurveillance has become the buzzword under which a diverse set of ideas and acti...
In order to assess the utility and effectiveness of different data streams for global disease survei...
<div><p>In recent years, biosurveillance has become the buzzword under which a diverse set of ideas ...
Timely and accurate detection of potential disease outbreaks is critically dependent upon the situat...
The objective of this manuscript is to present a systematic review of biosurveillance models that op...
Abstract Biosurveillance, a relatively young field, has recently increased in importance because of ...
in Encyclopedia of Quantitative Risk Analysis and Assessment, Melnick, E., and Everitt, B. (eds.), J...
Biosurveillance defines the process of gathering, integrating, interpreting, and communicating essen...
A biofoundry is a highly automated facility for processing of biological samples. In that capacity i...
Electronic event-based biosurveillance systems (EEBS’s) that use near real-time information from the...
BACKGROUND: Internet-based biosurveillance systems have been developed to detect health threats usin...
Biosurveillance is the regular collection, analysis, and interpretation of health and health-related...
AbstractInternet biosurveillance utilizes unstructured data from diverse web-based sources to provid...
Collier N, Doan S, Goodwin RM, et al. Navigating the Information Storm: Web-Based Global Health Surv...
The Early Alerting and Reporting (EAR) project launched in 2008, is aimed at improving global early ...
In recent years, biosurveillance has become the buzzword under which a diverse set of ideas and acti...
In order to assess the utility and effectiveness of different data streams for global disease survei...
<div><p>In recent years, biosurveillance has become the buzzword under which a diverse set of ideas ...
Timely and accurate detection of potential disease outbreaks is critically dependent upon the situat...
The objective of this manuscript is to present a systematic review of biosurveillance models that op...
Abstract Biosurveillance, a relatively young field, has recently increased in importance because of ...
in Encyclopedia of Quantitative Risk Analysis and Assessment, Melnick, E., and Everitt, B. (eds.), J...
Biosurveillance defines the process of gathering, integrating, interpreting, and communicating essen...
A biofoundry is a highly automated facility for processing of biological samples. In that capacity i...
Electronic event-based biosurveillance systems (EEBS’s) that use near real-time information from the...
BACKGROUND: Internet-based biosurveillance systems have been developed to detect health threats usin...