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- W4387427993 abstract "In order to aid in the management of the rapidly expanding diabetic population in developing nations, this article looks into the association between diabetes prevalence and poverty rates in US counties. This study models the association between diabetes prevalence and county-level poverty rates in the United States using a straightforward linear regression analysis. Analysing data from the USDA Food Environment Map, we calculated a correlation coefficient of 0.4887 between diabetes prevalence and poverty levels poor. By linear regression, we obtained a linear model of diabetes prevalence and poverty rates for each US county with a coefficient of 0.1946. We therefore conclude that there is a positive association between the prevalence of diabetes and poverty rates in each county in the United States. We therefore propose that the positive correlation between diabetes prevalence and poverty rates suggests the importance of focusing on diabetes prevention in poor areas. Therefore, for developing countries, directing public health resources to poor areas may be the best way to slow the development of diabetes." @default.
- W4387427993 created "2023-10-08" @default.
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- W4387427993 date "2023-01-01" @default.
- W4387427993 modified "2023-10-09" @default.
- W4387427993 title "A Statistical Study of Diabetes Prevalence and Poverty Rates in the United States using Linear Regression Methods" @default.
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- W4387427993 doi "https://doi.org/10.1007/978-981-99-6441-3_99" @default.
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