Title

An Analysis of Healthcare Needs Through Census Data

Presenter Information

Graham Dyer

Document Type

Oral Presentation

Location

SURC 137B

Start Date

17-5-2012

End Date

17-5-2012

Abstract

Healthcare in the United States has become an increasing concern for Americans during the past few years. Many Americans are without coverage and with the passage of the recent healthcare reform law we will be seeing some major changes in the years to come. These changes will have a broad impact our society and future generations. Using data from the American Community Survey and the Behavior Risk Factor Surveillance System, we look at several aspects of a population sample in their regard to healthcare coverage in the US. More specifically we analyze possible relationships between healthcare coverage and certain characteristics including employment status, marital status, race, disability and income. The primary purpose of this report is to observe whether or not the presence of healthcare coverage can be reliably modeled using publicly-available US census and health data.

Faculty Mentor(s)

Dominic Klyve

Additional Mentoring Department

Mathematics

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An Analysis of Healthcare Needs Through Census Data

SURC 137B

Healthcare in the United States has become an increasing concern for Americans during the past few years. Many Americans are without coverage and with the passage of the recent healthcare reform law we will be seeing some major changes in the years to come. These changes will have a broad impact our society and future generations. Using data from the American Community Survey and the Behavior Risk Factor Surveillance System, we look at several aspects of a population sample in their regard to healthcare coverage in the US. More specifically we analyze possible relationships between healthcare coverage and certain characteristics including employment status, marital status, race, disability and income. The primary purpose of this report is to observe whether or not the presence of healthcare coverage can be reliably modeled using publicly-available US census and health data.