STATISTICAL MODELING OF ADMITTED AND DISCHARGED PATIENTS WITH TYPHOID FEVER IN NIGERIA (A CASE STUDY OF ADEOYO STATE HOSPITAL, IBADAN OYO STATE)
Abstract
This study uses statistical modeling to analyze the patterns of admission and discharge among
patients with typhoid fever in Nigeria, focusing on key demographic and clinical factors. By
employing logistic regression and survival analysis techniques, the research identifies variables
such as age, gender, and co-morbidities that significantly influence the likelihood of admission,
the length of hospital stay, and discharge outcomes.
The findings provide valuable insights for healthcare practitioners and policymakers in Nigeria,
emphasizing the importance of targeted interventions and standardized treatment protocols. The
results highlight the potential for optimizing resource allocation and improving patient care
strategies for typhoid fever, while also suggesting avenues for future research on the
management of infectious diseases in resource-limited environments.
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