Informatics for Zoonotic Disease Surveillance: Combining animal and Human Data (on behalf of Matthew Scotch)

Project: Research project

Project Details


My career goal still is to become a leader in the field of public health informatics by establishing a large-scale zoonotic disease surveillance laboratory. The focus of the laboratory will be on combining public health data with data on animal health, the environment, and biodiversity (for translational research within public health practice). The stated goals during the K99 mentored phase have been successfully completed. The work during the K99 phase occurred at the Yale Center for Medical. Informatics under the guidance of my mentor, Dr. Cynthia Brandt, and my co-mentor, Dr. Peter Rabinowitz. The goals included obtaining solid foundations in public health surveillance, qualitative research methodology, and biology of infectious agents. The first two goals in particular were required for completion of Aim 1 of the research plan. Aim 1 involved the assessment of data and technology needs among experts in zoonotic disease surveillance. This work involved a qualitative study involving interviewing leading zoonotic surveillance experts in New England. An electronic survey was then created and disseminated to states outside of New England. Specifically the survey was sent to health departments and agriculture agencies. Barriers for integrating surveillance data included informatics barriers and barriers due to sensitivity of data. The ROO independent phase will take place at Arizona State University and focus on Aims2 and 3. Aim 2 will involve the development of a surveillance system based on the identified needs and barriers from Aim 1. The system will support data navigation for analysis of trends and detection of disease clusters. Emphasis during development will be on the integration of animal and human health data, modeling, and the acquisition of biodiversity knowledge for translational research for public health decision making. Aim 3 will study the potential of a zoonotic disease surveillance system via remote evaluation by surveillance experts and graduate students.
Effective start/end date9/30/109/29/14


  • HHS: National Institutes of Health (NIH): $746,947.00


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