Displaying results 1 - 7 of 7
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Contextualizing Data Streams for Infectious Disease Surveillance
Content Type: Abstract
Los Alamos National Laboratory (LANL) was tasked with developing methods to determine the relevance of data streams for an integrated global biosurveillance system. We used a novel method of evaluating the effectiveness of data streams called the '… read more -
Selecting Essential Information for BiosurveillanceÃA Multi-Criteria Decision Analysis
Content Type: Abstract
The National Strategy for Biosurveillance defines biosurveillance as 'the process of gathering, integrating, interpreting, and communicating essential information related to all-hazards threats or disease activity affecting human, animal, or plant… read more -
Epi Archive: automated data collection of notifiable disease data
Content Type: Abstract
Most countries do not report national notifiable disease data in a machine-readable format. Data are often in the form of a file that contains text, tables and graphs summarizing weekly or monthly disease counts. This presents a problem when… read more -
Global Disease Monitoring and Forecasting with Wikipedia
Content Type: Abstract
Infectious disease remains costly in human and economic terms. Effective and timely disease surveillance is a critical component of prevention and mitigation strategies. The limitations of traditional disease surveillance systems have motivated new… read more -
Epi Archive: Automated Synthesis of Global Notifiable Disease Data
Content Type: Abstract
Government reporting of notifiable disease data is common and widespread, though most countries do not report in a machine-readable format. This is despite the WHO International Health Regulations stating that [e]ach State Party shall notify WHO, by… read more -
Epi Archive: Automated Synthesis of Global Notifiable Disease Data
Content Type: Abstract
Most countries do not report national notifiable disease data in a machine-readable format. Data are often in the form of a file that contains text, tables and graphs summarizing weekly or monthly disease counts. This presents a problem when… read more -
Spatial temporal cluster analysis to enhance awareness of disease re-emergence on a global scale
Content Type: Abstract
The re-emergence of an infectious disease is dependent on social, political, behavioral, and disease-specific factors. Global disease surveillance is a requisite of early detection that facilitates coordinated interventions to these events. Novel… read more