Researchers at Los Alamos National Lab have developed a visual analytic suite called RETRO Rx to facilitate global infectious disease surveillance, disease mitigation, and prevention planning. It is currently comprised of two analytic pieces of software called Analytics for Investigation of Diseases Outbreaks (AIDO) and Re-emerging Infectious Diseases Alert (RED Alert) that are accessible to any internet-connected device via a simple web interface. AIDO guides users at the early stages of an outbreak by comparing a current unfolding outbreak to historic outbreaks. RED Alert is used after an outbreak has ended. It constructs a broad historical picture of disease incidence (recent outbreak included) to detect re-emergence at its earliest stages, locally and globally. As the field of data science continues to expand, the need for visual analytics has increased. This is particularly true in the field of epidemiology as more global data becomes available. There are no tools available to
RETRO Rx fills a need in the infectious disease surveillance community by creating a new class of analytics in the space between traditional epidemiological models and unanalyzed large quantities of data. Currently, the tools can be used by analysts, scientists, practitioners, decision makers, and the public via the internet. RETRO Rx requires minimal effort and expertise from users and brings together a wealth of data to produce actionable information: digestible, diverse visual analytics paired with detailed descriptions. The RETRO Rx software suite is supported by a very talented and experienced team of scientists, engineers, and technicians that have extensive experience in disease surveillance, public health, epidemiology, computer science, and visual data analytics. The RETRO Rx software suite recently was recognized as the R&D 100 Gold Award for Corporate Social Responsibility and more information can be found at: https://www.rdworldonline.com/2019-rd-100-award-winners-unveiled/ A brief introduction to RetroRx can be found at: https://www.youtube.com/watch?v=8uEabZAmThQ&feature=youtu.be The following capabilities represent direct competitive advantages of RETRO Rx as compared to similar commercial software: 1) no direct comparison in the market place as the RETRO Rx software suite provides tools currently unavailable in similar form and function; 2) open access to the RETRO Rx software available via the Internet at no charge to consumers; 3) innovative technology to analyze potential re-emergence of an infectious disease; 4) provides actionable information specific to the userâs situation; and 5) provides a global application of analytics for the benefit of mankind. The RETRO Rx team is working on adding new capabilities that match user (public health analyst, decision maker, and scientist) and upgrading the code based on new programs and applications. We are seeking a commercialization partner who develops and distributes software to collaborate with the RETRO Rx team to further develop the RETRO Rx software suite for commercial purposes. A version of the RETRO Rx software suite is available to be
Applications and Industries
The market for RETRO Rx is primarily in the field of infectious disease surveillance, public health and epidemiology. There is a need for rapid, easy to use and easy to interpret analytics that offer actionable information for decision makers. Additionally, our tools do not need extensive computing power and can be accessed via any internet-connected device equipped with a web browser. As global health data becomes more accessible, there will be a need for tools that can use disparate data and perform analysis for outbreak control and mitigation.
The complementary tools in RETRO Rx—AIDO and RED Alert—fill a need in the disease surveillance community by taking minimal outbreak data and contextualizing it in historical infectious disease outbreak data to provide the user situational awareness and actionable information. This information enables authorities to plan specific strategies and allocate resources to mitigate and prevent outbreaks.
Visual Analytics to Rapidly Analyze Large Datasets
Fast Software Execution
Easy To Use Software Interface
Rapid Comparison to Historical Records