344I White Hall
Syracuse, New York 13244
Brittany KmushPh.D., Assistant Professor
Brittany received her PhD from Johns Hopkins University’s Bloomberg School of Public Health. Her dissertation was entitled, “Risk factors for antibody loss after Hepatitis E virus natural infection and vaccination.” She earned a master of science in infectious disease epidemiology from the Bloomberg School at Johns Hopkins University and holds a bachelor of science in biochemistry from the University of Rochester where she graduated cum laude. Her areas of specialization include epidemiology, global health, infectious diseases, vaccines, nutrition, immunology and environmental exposures particularly within the context of risks for infectious diseases, and Hepatitis E virus.
In addition to a series of graduate research assistantships at Johns Hopkins, she was a student investigator at the Centre for Child and Adolescent Health, Dhaka, Bangladesh and the National Institute for Diagnosis and Vaccine Development in Infectious Diseases, School of Public Health, Xiamen University, Xiamen, China where she Implemented a study examining the persistence of antibodies after hepatitis E virus infection.
Her professional portfolio includes participation on numerous research grants, including an award from the Bill and Melinda Gates Foundation where she was a student investigator on the project, “Determinants of Immunological Persistence of Hepatitis E Virus Antibodies.” The purpose of the study was to determine antibody persistence after Hepatitis e virus and vaccination in South Asia.Education
Ph.D. Johns Hopkins UniversitySpecialization
Areas of specialization include epidemiology, global health, infectious diseases, vaccines, nutrition, immunology and environmental exposures particularly within the context of risks for infectious diseases, and Hepatitis E virus.Statistical Expertise
Dr. Kmush is able to provide statistical expertise in: Generalized linear models (linear regression, logistic regression, Poisson regression), model development, multi-level modeling, STATA, Excel.