Accelerating Data Access for Public Health: Supporting the CDC's National Center for Immunization and Respiratory Diseases
COVID-19 exposed how heavily the U.S. public health system’s response readiness depends on widespread and rapid access to data to drive effective decision-making, guidance, and policy.
The pandemic also revealed how data science requirements—data management, integration, analysis, visualization, and capacity—can pivot abruptly with the emergence of a single threat.
To increase the system’s readiness to respond, the Centers for Disease Control and Prevention’s (CDC’s) Data Modernization Initiative (DMI) supports projects that strengthen CDC’s core data and surveillance infrastructure by rapidly building its capabilities in data science.
A Core Strength
Leidos builds and sustains our data science strength by investing in our internal Data Science and Engineering (DSnE) Technical Core Capabilities organization, tailoring analytic systems—e.g., for data and predictive analytics; data mining, analysis, curation, and visualization; artificial intelligence (AI) and machine language (ML); and healthcare analytics—to turn data into knowledge and insights.
Our strength translates to support for CDC’s DMI objectives by using our expertise, capabilities, and innovations to enhance CDC’s abilities to organize, analyze, and leverage data to make strategic decisions and respond to problems quickly. We support major projects at CDC’s NCIRD; the National Center for Emerging and Zoonotic Infectious Diseases; the National Center for HIV, Viral Hepatitis, STD, and TB Prevention; and other federal agencies.
