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Maternal mortality is defined as the number of deaths related to complications during or after childbirth. Food deserts are defined as regions that have limited access to affordable and healthy food options. This study utilized R to analyze data from the United States Department of Agriculture Economic Research Service’s Food Access Research Atlas and maternal mortality rates from the UCSF paper “Maternal Morbidity and Outcomes Including Mortality, California 2001-2006.” to search for an association between the two variables. The research atlas maps areas in Northern California with low access to grocery stores, as well as provides information on food access throughout the United States using census tracts. The independent variable in this study is food access and the dependent variable is maternal mortality. After analyzing the data collected using R, correlation graphs were created and intercepts and R values were identified. This information was used to further understand the relationship between food access and maternal mortality. For this study, we focused our scope on the Bay Area counties of Alameda, Contra Costa, Marin, San Francisco, Santa Clara, Solano, and Sonoma, which are located in Northern California.

Maternal mortality is defined as the number of deaths related to complications during or after childbirth. Food deserts are defined as regions that have limited access to affordable and healthy food options. This study utilized R to analyze data from the United States Department of Agriculture Economic Research Service’s Food Access Research Atlas and maternal mortality rates from the UCSF paper “Maternal Morbidity and Outcomes Including Mortality, California 2001-2006.” to search for an association between the two variables. The research atlas maps areas in Northern California with low access to grocery stores, as well as provides information on food access throughout the United States using census tracts. The independent variable in this study is food access and the dependent variable is maternal mortality. After analyzing the data collected using R, correlation graphs were created and intercepts and R values were identified. This information was used to further understand the relationship between food access and maternal mortality. For this study, we focused our scope on the Bay Area counties of Alameda, Contra Costa, Marin, San Francisco, Santa Clara, Solano, and Sonoma, which are located in Northern California.

fMRI imaging measures brain activity by detecting changes in the brain that are associated with blood flow and can be used in order to determine the size and location of visual field maps. This study measured BOLD responses in humans to understand spatial summation by showing them spatial contrast pattern images through vertical and horizontal apertures.Nonlinear responses can be computed from the visual field responses, from which the spatial summation ratio is calculated. A ratio of less than one indicates a smaller response to exposure to a full aperture or contrast image than predicted by the linear model. Datasets were analyzed using MATLAB, producing eccentricity maps of the visual cortices from stimuli. BOLD response curves identify the intensity of the maps within a particular voxel. The eccentricity maps can then be overlain on anatomical representations of the brain, characterizing the various visual field cortices. Methods of fMRI data analysis are confirmed with the results of this study.