👉 Regression analysis of infection rates examines the relationship between various predictor variables and the occurrence of infections, typically measured as binary outcomes (infected vs. not infected). This statistical method helps identify which factors, such as age, environmental conditions, or exposure levels, significantly influence the likelihood of infection. By modeling the data, researchers can estimate the strength and direction of these relationships, predict future infection trends, and inform public health interventions aimed at reducing infection rates.
