Abstract

Infant Mortality Rates, IMR, describes the number of infant deaths per $1,000$ live births and is considered one of the most comprehensive ways to measure population health. This is due to IMR's ability to respond to the quality and access to health care, as well as a number of different social, environmental and economic factors that do not directly deal with health. Despite recent improvements in the United State's IMR, the U.S. ranks poorly in this measure when compared to other developed nations. This unfavorably high IMR is primarily attributed to health disparities between subgroups that have continued or have become exaggerated through the years.

Using U.S. county census data, the primary objective of this study is to identify different social, economic and behavioral indicators that contribute to infant mortality rates. The second objective is to evaluate how these indicators vary across temporal boundaries and across subgroups using different mathematical and statistical modeling methods.

Advisor

Pasteur, Drew

Department

Mathematics

Disciplines

Epidemiology | Mathematics | Other Mathematics | Public Health

Publication Date

2017

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis

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© Copyright 2017 Sophia Anderson