Displaying results 1 - 5 of 5
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Developing the Scalable Data Integration for Disease Surveillance (SDIDS) Platform
Content Type: Abstract
Electronic data that could be used for global health surveillance are fragmented across diseases, organizations, and countries. This fragmentation frustrates efforts to analyze data and limits the amount of information available to guide disease… read more -
Using cross-correlation networks to identify and visualize patterns in disease transmission
Content Type: Abstract
Syndromic surveillance data such as the incidence of influenza-like illness (ILI) is broadly monitored to provide awareness of respiratory disease epidemiology. Diverse algorithms have been employed to find geospatial trends in … read more -
Assessing the Work Practices and Information Needs of Disease Investigators
Content Type: Abstract
Investigation of cases, clusters, and outbreaks of infectious disease is a complex process requiring substantial support from protocols, distributed and cooperative work, and information systems. We set out to identify public health information… read more -
Integrated Disease Surveillance to Reduce Data Fragmentation - An Application to Malaria Control
Content Type: Abstract
There is growing recognition that an inability to access timely health indicators can hamper both the design and the effective implementation of infectious diseases control interventions. In malaria control, the global use of standard interventions… read more -
Towards a Framework for Data Quality Properties of Indicators used in Surveillance
Content Type: Abstract
Effective use of data for disease surveillance depends critically on the ability to trust and quantify the quality of source data. The Scalable Data Integration for Disease Surveillance project is developing tools to integrate and present… read more