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Social and Behavioral Sciences Commons

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Physical Sciences and Mathematics

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California Polytechnic State University, San Luis Obispo

2017

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Socioeconomic Status, Air Quality And Geographic Variation In Emergency Room Visits For Acute Bronchitis On The California Central Coast, Sean Lang-Brown, Heather W. Starnes, Gary B. Hughes Jul 2017

Socioeconomic Status, Air Quality And Geographic Variation In Emergency Room Visits For Acute Bronchitis On The California Central Coast, Sean Lang-Brown, Heather W. Starnes, Gary B. Hughes

Symposium

IMPORTANCE: Analysis of geospatial variation in acute bronchitis due to socioeconomic and environmental factors can allow the efficient delivery of resources to populations most at risk.

OBJECTIVE: We sought to determine if small scale variation in socioeconomic factors and emergency room (ER) visits for acute bronchitis are associated in small cities or rural communities. We also modeled the effects of air quality on daily rates of ER visits for acute bronchitis in the context of socioeconomic factors to investigate modifying relationships.

DESIGN, SETTING, AND PARTICIPANTS: We examined ER visits for acute bronchitis in San Luis Obispo and Santa Barbara counties …


A Geospatial Assessment Of Social Vulnerability To Sea-Level Rise In Coastal San Luis Obispo, Jesse A. Carpentier Jun 2017

A Geospatial Assessment Of Social Vulnerability To Sea-Level Rise In Coastal San Luis Obispo, Jesse A. Carpentier

Master's Theses

This project is an assessment of social vulnerability to sea-level rise in the unincorporated coastal area of the County of San Luis Obispo (County) using geospatial and statistical analysis. The intention of this assessment is to inform local climate adaptation efforts now required by state legislation. A social vulnerability index was generated at the Census block group level using 32 variables positively correlated with social vulnerability. The social vulnerability score for each block group is the sum of scores generated for the following principle components: (1) race/ethnicity and disability status, (2) social isolation and age, (3) income, and (4) housing …