Data plays a pivotal role in targeted development. Epidemiologists use a variety of data sources, including health surveys, electronic health records, and disease registries, to identify patterns and trends. Advanced statistical methods and geospatial analysis techniques are employed to pinpoint areas or populations at higher risk. Machine learning and predictive modeling can also be used to forecast future health trends and inform targeted interventions.
