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  1. Neighborhood effects : Information and Education Environment

    Work
    Title: Neighborhood effects : Information and Education Environment
    Creator: Veinot, Tiffany C, Okullo, Dolorence, Clarke, Phillipa J., Reddy, Shruthi, Goodspeed, Robert, Gomez-Lopez, Iris N., and Data Driven Detroit
    Description: The information and education environment refers to: 1) the presence of information infrastructures such as broadband Internet access and public libraries in a location; 2) a person’s proximity to information infrastructures and sources; 3) the distribution of information infrastructures, sources and in a specific location; and 4) exposure to specific messages (information content) within a specific location. Coverage for all data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area.
  2. Neighborhood Effects: Food Environment

    Work
    Title: Neighborhood Effects: Food Environment
    Creator: Yan, Xiang (Jacob), Data Driven Detroit, Veinot, Tiffany C., Goodspeed, Robert, Gomez-Lopez, Iris N., and Okullo, Dolorence
    Description: The food environment is: 1) The physical presence of food that affects a person’s diet; 2) A person’s proximity to food store locations; 3) The distribution of food stores, food service, and any physical entity by which food may be obtained; or 4) A connected system that allows access to food. (Source: https://www.cdc.gov/healthyplaces/healthtopics/healthyfood/general.htm) Data included here concern: 1) Food access; and 2) Liquor access. Spatial Coverage for most data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area, Michigan, USA. See exception for grocery store data below.
  3. Neighborhood Effects : Community Characteristics and Health in Metropolitan Detroit

    Title: Neighborhood Effects : Community Characteristics and Health in Metropolitan Detroit
    Creator: Yan, Xiang (Jacob), Veinot, Tiffany C, Data Driven Detroit, Clarke, Phillipa J., Goodspeed, Robert, Gomez-Lopez, Iris N., and Okullo, Dolorence
    Description: This collection was produced as part of the project, “A ‘Big Data’ Approach to Understanding Neighborhood Effects in Chronic Illness Disparities.” The Investigators for the project are Tiffany Veinot, Veronica Berrocal, Phillipa Clarke, Robert Goodspeed, Daniel Romero, and VG Vinod Vydiswaran from the University of Michigan. The study took place from 2015-2016, with funding from the University of Michigan’s Social Sciences Annual Institute, MCubed, and the Sloan and Moore Foundations. Contact: Tiffany Veinot, MLS, PhD Office: 3443 North Quad Phone: 734/615-8281 Email: tveinot@umich.edu