Analysis and Modeling of Sociodemographic Factors Contributing to Hospital Acquired Infection Incidence

      BACKGROUND: Each year 90,000 people will die from a hospital acquired infection (HAI). Currently, there are many studies looking at HAI surveillance within the hospital but few look at surveillance within a community and sociodemographic factors that may influence these infection rates. This study discerns a significant relationship between the two. A statistical regression was used to develop infection risk analysis using sociodemographic factors such as income, citizenship, minority, and veteran status.
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