Charting and Mapping Vaccine Development Capacities

Project Summary

With the significant international consequences of recent outbreaks, the ITP Lab conducted extensive stakeholder interviews and macro-level health policy analysis to expose gaps in pandemic preparedness and develop legal frameworks for future threats. 

Themes and Categories
Health, Public Policy
Health Systems Operations, Social Sciences
Year

Project Team

  • Malcolm Nowlin, Public Policy & Chemistry
  • Nora Ghanem, Public Policy & Global Health
  • Niveen Hennein, Public Policy & Global Health
  • Julia Tuttle, Global Health & Cultural Anthropology
  • Courtney Scoufis. Public Policy & Global Health
  • Farrukh Jadoon, Computer Science
  • Christina Langmack, Public Policy & Global Health
  • Kushal Kadakhia|, Public Policy & Global Health 

Mentors: 

  • ProfessorJuliaBarnes-Weise, Duke
  • ProfessorAnaSantos-Rutschman, Duke 

Funding:

Project Details

Emerging danger:

  • Scientists and public health experts have identified several key pathogens that have caused or are likely to cause severe outbreaks and have few or no medical interventions available 

Updateable mapping tool:

  • Online geospatial database with search capabilities that allow for :
    • Filtering by region, country, and pathogen
    • Clickable markers that reveal further details of organization
    • Bubble Map that displays linkages between organizations and their roles in development
  • Able to provide critical knowledge of vaccine development landscape and facilitate the formation of alliances 

Download the poster presentation for more details (PDF).

 

Related Projects

Farm to Fork (Year 2)

A team of students collaborating with Duke School of Medicine's Root Causes Fresh Produce Program, community members, and physicians throughout the Duke Health network will help integrate data from food deliveries to Duke Health patients with patient health record data and other available data sources to create a dashboard that can analyze, predict, and manage the Root Causes' "Food as Medicine" program. Specific outcomes will contribute to improving the Program's quantitative evaluation of its health impact as well as efficiency and satisfaction for its patients. Students will be assisted with IRB approval and mentorship from faculty and community advisors.

Project Leads: Esko Brummel, Willis Wong

 

Data Science for Community Safety in Durham

A team of students will partner closely with the City of Durham's newly formed Community Safety Department.  The Community Safety Department's mission is to identify, implement, and evaluate new approaches to enhance public safety that may not involve a law enforcement response or the criminal justice system. The student team will (1) analyze and identify geographic and temporal patterns in 911 calls for service, (2) conceptualize and build an abstracted data pipeline and tools that would enrich currently available 911 data with other social, economic, and health-related data, (3) explore associations between areas of high call volume, indicators of mental health distress, and histories of dispossession; and (4) identify methods by which future researchers could examine connections between varied 911 incident responses (e.g. police response, unarmed response, joint police, and mental health response) and life trajectories (e.g. arrest, jail time, hospitalization, unemployment, etc.).

 

Project Lead: Greg Herschlag, Anise Van, City of Durham

Project Manager: Deekshita Saikia

 

Understanding the Course of Disease via Registration on Electronic Health Records Data

A team of students led by Professor Anru Zhang (Duke Biostatistics & Bioinformatics, Computer Science, Mathematics, and Statistical Science) will develop methods to investigate the courses of complex diseases through electronic health records. The team will apply tensor methods to identify key features to register the patient's timeline. This work will provide a basis for researchers at Duke and elsewhere to sufficiently utilize the high-dimensional and longitudinal information in the electronic health record data. If time permitted, the related methods and theory will also be studied.

 

Project Lead: Anru Zhang

Project Manager: Rungang Han

See all Research