District 4 LaGrange
This fellowship position is in District 4 in Fayetteville, 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 a level 1 epidemiologist within District 4. Fellows may be able to work remotely 1 day per week.
The Fellow can expect to engage in a variety of routine epidemiologic activities in this position including:
- Training in all general notifiable diseases including enteric diseases and food-borne illnesses.
- Assisting with the Opioid Program, HIV/Tobacco Prevention Program, Emergency Preparedness Program, and Nursing depending on the type of disease and if there is an outbreak at a given facility (school, daycare, LTCF).
In addition to regular duties, the Fellow will need to complete an oral/poster presentation and at least two required analytic, evaluation, or quality improvement projects. Examples of projects in this district include:
- Analyzing, collecting, and using qualitative and quantitative data to assess the community health status of general notifiable diseases. These strategies can be employed to enhance data collection utilizing digital reporting systems, public health awareness campaigns, and standardized reporting protocols.
- Evaluating barriers of public health that typically impact delivery and creating opportunities to achieve alignment with local partners and policy makers. With District 4 having both rural and metro counties, healthcare professionals and the public need to be well-informed when reporting cases promptly and recognizing symptoms. Barriers that are common in District 4 include geographic challenges, data sharing, lack of resources, and prioritization of resources. To address these barriers, system change is imperative and could be addressed through educational outreach with an overall goal of more effective collaboration in the District all together.
Preferred Fellow background and skills include:
- Experience with using data analysis software.