Infection Risk and Chronic Diseases : An Epidemiological Framework

Abstract This study introduces a novel composite risk equation for infection probability that integrates chronic disease categories, demographic variables, socioeconomic status, education, and environmental exposure. The model is mathematically derived through partial derivative evaluation and weighted coefficients informed by epidemiological evidence. Chronic diseases are categorized and weighted differently according to their impact on infection risk. The framework enhances predictive accuracy and interpretability, supporting early-warning systems and public health decision-making in resource-limited settings. References [1–5].