Training and Education
As a training hub, CIDMATH is committed to educating the next generation of public health professionals. We offer workshops, seminars, and training programs designed to equip researchers and practitioners with the skills needed to tackle infectious disease challenges.
The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID)
The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) is a premier program designed to equip infectious disease researchers and public health practitioners with cutting-edge statistical analysis and mathematical modeling techniques. After 15 years at the University of Washington, SISMID has found its new home under the leadership of Dr. Natalie Dean and Dr. Ben Lopman at the Rollins School of Public Health at Emory University in Atlanta. Graduate students and postdocs at U.S. and international institutions are eligible to apply for SISMID registration scholarships.
About SISMID:
- Mission: To train researchers in modern methods in statistical analysis and modeling for infectious diseases.
- Legacy: Founded in 2009 by Dr. Betz Halloran of the University of Washington, SISMID has successfully trained thousands of researchers worldwide.
- New Home: We are excited to continue this legacy at Emory University, where our vibrant academic community fosters innovation and collaboration.
Outbreak Analytics Fellowship
About the Outbreak Analytics Fellowship:
As an extension of the Rollins Epidemiology Fellowship, CIDMATH began sponsoring Outbreak Analytics Fellows in Summer 2024. The first three OA fellows joined Cohort 5 of the Rollins Epidemiology Fellowship, with greater emphasis on Outbreak and Surveillance Analytics.
Program Overview
- Objective: To equip fellows with advanced skills in outbreak analytics and surveillance in an applied setting of public health practice.
- Support and Connection: Fellows will be closely connected to and supported by CIDMATH and the Rollins Epidemiology Fellowship Program.
- Training and Coursework: Fellows will complete rigorous analytics training and coursework, preparing them for impactful contributions to public health.