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
Recommended Citation
Anderson, Sophia, "A Mathematical Modeling Examination of the Changing Social, Economic and Environmental Indicators for Infant Mortality Rates Across The United States" (2017). Senior Independent Study Theses. Paper 7617.
https://openworks.wooster.edu/independentstudy/7617
Disciplines
Epidemiology | Mathematics | Other Mathematics | Public Health
Keywords
Infant Mortality Rate, Epidemiology, Mathematic Modeling
Publication Date
2017
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2017 Sophia Anderson