Pilot Project, Year 10
Summary of project:
- This study aims to develop an innovative forecasting framework to predict future surges in Respiratory Syncytial Virus (RSV)-related hospitalizations across the United States.
- The research team will create mathematical and spatial models that account for geographic, age-related, and demographic differences to improve the accuracy of RSV hospitalization forecasts.
- This study will develop national and Arizona-specific forecasting systems to support public health planning and enable more targeted responses to RSV outbreaks.
- This study will evaluate preventive interventions, including strategies to protect infants and provide preventive treatments for older adults, to determine their potential impact on reducing RSV-related hospitalizations.
- Findings will help public health officials and policymakers, including the Arizona Department of Health Services, improve preparedness for future RSV outbreaks, address disparities in health outcomes, and optimize prevention strategies for diverse populations.
Funding: The study is funded by NIMHD/NIH 5U54MD012388
About the investigators
Principal Investigator
Kayode Oshinubi, PhD
Post-Doctoral Scholar, School of Informatics, Computing, and Cyber Systems
Email: Kayode-Isaac.Oshinubi@nau.edu
Co-Investigator
Joseph Mihaljevic, PhD
Associate Professor, School of Informatics, Computing, and Cyber Systems
Email: Joseph.Mihaljevic@nau.edu
Co-Investigator
Crystal Hepp, PhD
Associate Professor, School of Informatics, Computing, and Cyber Systems
Email: Crystal.Hepp@nau.edu
Co-Investigator
Ye Chen, PhD
Associate Professor, Department of Mathematics and Statistics
Email: Ye.Chen@nau.edu