Forecasting Antibiotic Resistance and Seasonal Disease Trends Using Predictive Analytics

This research analyzes antibiotic usage and resistance trends using data analytics to understand how prescribing patterns affect the rise of resistant bacteria. By studying prescribing and resistance data over time, the project aims to identify antibiotics that are becoming less effective and predict future resistance risks.

Impacts:

Improve patient outcomes: Supports better treatment choices by identifying antibiotics that remain effective.

Strengthen stewardship: Provides data-driven insights to guide responsible antibiotic use and reduce misuse.

Inform public health practice: Highlights national and seasonal trends to support targeted interventions.

Strengthen health systems: Enables predictive planning for antibiotic supply and policy decisions, improving healthcare efficiency and preparedness.