District 5-2 North Central (OA)

This fellowship position is in District 5-2 North Central in Macon, Georgia. The fellow selected for this position will be an employee of Emory University’s Rollins School of Public Health for the duration of the fellowship but will spend their time working as an early-career epidemiologist in the North Central district. The Fellow may be allowed to work remotely 2-3 days per week.

The Fellow can expect to work on data-focused projects throughout the fellowship that incorporate the concepts of outbreak and surveillance analytics. Examples of projects include:

• Working collaboratively with the Epidemiology Surveillance team and Communicable Disease Program Leads to enhance the existing surveillance, data analytics tracking, and reporting systems for programs including General Notifiable Diseases, Outbreaks, Emerging Public Health Threats, HIV Prevention, Sexually Transmitted Disease, Tuberculosis, and Infection Control. This may involve:
• Conducting follow-up investigations on reports of general notifiable diseases, outbreaks, and other emerging public health threats, using information gathered from investigations to determine what measures need to be taken by stakeholders and recommending methods and resources available to them to ensure they are successful. 
• Updating and enhancing existing surveillance and outbreak data visualization and morbidity dashboards that incorporate additional data points such as demographic information and health equity related data points. This will involve data analysis and functionality in Tableau, Microsoft Power BI and Excel, SAS, and other standard analytic programs will be utilized, based on experience and preference of the fellow.
• Collecting, analyzing, and summarizing outbreak data. The Fellow will assist in the development of outbreak summary reports, abstracts, poster presentations, data summary reports, and other analytic summaries to share pertinent Public Health related data with our communities, peers, and other agencies/organizations.
• Verifying appropriate tracking across multiple data platforms including SENDSS, local EMR systems, and other internal systems used for data management and collaboration across programs.
• Developing local response and analysis processes to improve disease surveillance (such as GI illnesses, Syphilis, Rocky Mountain Spotted Fever, etc.) and outbreak response in middle Georgia that can be used to inform prevention efforts.
• Developing and implementing a local healthcare-acquired infection-tracking database that can be used to quickly inform program staff on healthcare facilities that have had active cases to provide an improved response process to potential outbreaks.