Medical Humanities Commons^™

Modeling Of Covid-19 Clinical Outcomes In Mexico: An Analysis Of Demographic, Clinical, And Chronic Disease Factors, Livia Clarete

Dissertations, Theses, and Capstone Projects

This study explores COVID-19 clinical outcomes in Mexico, focusing on demographic, clinical, and chronic disease variables to develop predictive models. In the binary classification task, the Ada Boost Classifier distinguishes survivors from non-survivors, with age, sex, ethnicity, and chronic medical conditions influencing outcomes. In multiclass classification, the Gradient Boosting Classifier categorizes patients into outcome groups.

Demographic variables, especially age, are crucial for predicting COVID-19 outcomes for both the binary and multiclass classification tasks. Clinical information about previous conditions, including chronic diseases, also holds relevance, especially diabetes, immunocompromise, and cardiovascular diseases. These insights inform public health measures and healthcare strategies, emphasizing …

Twenty-Seven Questions For Writers & Journalists To Consider When Writing About Covid-19 & Hiv/Aids, Alexandra Juhasz, Pato Hebert, Theodore Kerr, Diana Cage

Publications and Research

The desire to compare COVID-19 and HIV/AIDS is understandable. The response to HIV provides an inspiring road map for how to save lives. For over four decades, starting in the early 1980s, activists, scientists, politicians and cultural producers have been working alongside one another resulting in life saving developments—and goals not yet achieved. Since the late 1990s, HIV has become a manageable chronic illness for those with access to life saving medicine, housing, food, and social support. Meanwhile, stigma, discrimination, and criminalization directed at people living with HIV continue, based on social difference, access to resources and community, and an …