This research is a synthesis and discussion of two papers that apply diverse geographic techniques to closely examine neighborhoods and health, introduced in Chapter 1. Chapter 2 is titled, “Systematic review of the use of Google Street View in health research: Sampling, exposure assessment, prevention or monitoring, and health policy compliance” and of 54 studies qualifying for the review, one (2%) utilized GSV for sampling, forty-four (82%) for exposure assessment, and six (11%) for policy monitoring. Most studies reported considerable benefits of GSV, when compared to non-virtual methods, through the reduction of research time and costs, making it a promising tool for automated environmental assessment for health research. Chapter 3 explores a relatively novel pathway to health (the microbiome) and is titled, “Evaluating the relationship between neighborhood vegetation and the human microbiome: implications for green space-health research”. Neighborhood vegetation scores and impervious surface area were compared to the microbial genera and biodiversity of the mouth, ears, eyes, nose and rectum (a surrogate of the gut) human microbiomes of postmortem residents of Wayne County, Michigan (n = 98). Relationships between neighborhood greenness and microbial composition varied by neighborhood size and area of the body. Results suggest that each body area is a unique microbial niche that interacts with the environment in different ways, an important consideration for targeted modification of the microbial environment. Overall, this research illustrates how an integrated analysis of neighborhoods and health has the potential to improve both health research and public policy across a wide range of geographic contexts and scales.
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