Please join us for this exciting upcoming webinar with Dr. Alina Deshpande from Los Alamos National Laboratory on new tools they are developing to enhance surveillance efforts at the local public health level.
Title: Tools and Apps to Enhance Situational Awareness for Global Disease Surveillance
Date & Time: Tuesday, May 5th 3:00 PM – 4:00 PM EST
Description: Situational awareness is important for early warning and early detection of infectious disease outbreaks and occurs at both local and global scales. Los Alamos National Laboratory (LANL) is developing a suite of tools to provide actionable information and knowledge for enhanced situational awareness during an unfolding event. These tools are available to the global disease surveillance community through the LANL biosurveillance gateway (http://bsv.lanl.gov, under “resources” tab) or through independent links provided with each tool description;
The Biosurveillance Resource Directory (BRD, http://brd.lanl.gov): A tool to facilitate obtaining disease surveillance information. Contains information on disease surveillance resources worldwide
The Biosurveillance Analytics Resource Directory (BARD, http://bard.lanl.gov/brd): A tool to rapidly select appropriate epidemiological models for infectious disease prediction, forecasting and monitoring. Currently includes information on models for Malaria, Cholera, Influenza, Dengue and Foot and Mouth Disease.
The Surveillance Window app (SWAP, http://swap.lanl.gov): An app to provide context and a frame of reference for disease surveillance information on an unfolding event, through matching of user input to a library of global historical disease outbreaks
Speaker Information: Dr. Alina Deshpande
Dr. Alina Deshpande is a senior scientist and team leader in the Defense Systems and Analysis Division at Los Alamos National Laboratory. She has a B.S. in Microbiology and holds M.S. and Ph.D. degrees in Biomedical Sciences from the University of New Mexico-School of Medicine. Her research work is in the areas of experimental biology and information science. Specifically, the development of clinical diagnostics and decision support tools for infectious disease surveillance.