HOMETOWN

Warri, Nigeria

MEDICAL SCHOOL

University of Benin

WHAT MAKES CENTRAL ARKANSAS A GREAT PLACE TO LIVE

Central Arkansas has great national parks, museums, and the cost of living is one of the lowest in the country.

WHY I LOVE THE BAPTIST HEALTH-UAMS INTERNAL MEDICINE PROGRAM

We have very supportive faculty mentors; outstanding learning opportunities and I love the lean-six sigma curriculum for hospital-based quality improvement projects.

FUTURE PLANS

My future is nephrology fellowship, I want to help patients get through difficult times, and navigate the challenges of dealing with chronic kidney disease.

THE ONE THING I WANT PEOPLE TO KNOW ABOUT ME

I am learning to use RStudio for data analysis

BEST ADVICE I WAS EVER GIVEN

Be thankful for everything you have

WHAT I DO FOR FUN

While I love baking cakes according to the recipe, my favorite is mixing flavors and hoping that I will someday be able to match my mother’s baking skills. I also relax by spending time with my family cooking (traditional African cuisine), trying new food, and watching movies.

LAST GREAT BINGE WATCH

Outlander

BEST RECENT LOCAL DISCOVERY

Hot Springs, Arkansas, I loved the naturally heated spring water for thermal baths. I had a wonderful summer vacation with my family exploring the city.

RESEARCH/SCHOLARSHIP

Ongoing:
Disability-free Survival in Older Community-dwelling African Americans by Sex
Lean six sigma quality improvement project- Reducing the Severity of Hospital Fall Injury

Anderson M, Stec M, Rewane A, Landay A, Cloherty G, Moy J. SARS-CoV-2 Antibody Responses in Infection-Naive or Previously Infected Individuals After 1 and 2 Doses of the BNT162b2 Vaccine. JAMA Netw Open. 2021;4(8):e2119741. doi:10.1001/jamanetworkopen.2021.19741

Owoyemi, A., Ikpe, R., Toye, M., Rewane, A., Abdullateef, M., Obaseki, E., Mustafa, S., & Adeosun, W. (2021). Mobile Health Approaches to Disease Surveillance in Africa; Wellvis COVID triage tool. Digital health, 7, 2055207621996876. https://doi.org/10.1177/2055207621996876

Onoja, A., Ejiwale, M. O. ., & Rewane, A. . (2021). Interpretable machine learning approach for predicting COVID-19 risk status of an individual. Transactions on Networks and Communications, 9(2), 1–14. https://doi.org/10.14738/tnc.92.9760