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Data sources for an environmental quality index: Availability, quality, and utility

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  • Lobdell, D.T.
  • Jagai, J.S.
  • Rappazzo, K.
  • Messer, L.C.

Abstract

Objectives: An environmental quality index (EQI) for all counties in the United States is under development to explore the relationship between environmental insults and human health. The EQI is potentially useful for investigators researching health disparities to account for other concurrent environmental conditions. This article focused on the identification and assessment of data sources used in developing the EQI. Data source strengths, limitations, and utility were addressed. Methods: Five domains were identified that contribute to environmental quality: air, water, land, built, and sociodemographic environments. An inventory of possible data sources was created. Data sources were evaluated for appropriate spatial and temporal coverage and data quality. Results: The overall data inventory identified multiple data sources for each domain. From the inventory (187 sources, 617 records), the air, water, land, built environment, and sociodemographic domains retained 2, 9, 7, 4, and 2 data sources for inclusion in the EQI, respectively. However, differences in data quality, geographic coverage, and data availability existed between the domains. Conclusions: The data sources identified for use in the EQI may be useful to researchers, advocates, and communities to explore specific environmental quality questions.

Suggested Citation

  • Lobdell, D.T. & Jagai, J.S. & Rappazzo, K. & Messer, L.C., 2011. "Data sources for an environmental quality index: Availability, quality, and utility," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 277-285.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2011.300184_1
    DOI: 10.2105/AJPH.2011.300184
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    Cited by:

    1. Arnold Kamis & Rui Cao & Yifan He & Yuan Tian & Chuyue Wu, 2021. "Predicting Lung Cancer in the United States: A Multiple Model Examination of Public Health Factors," IJERPH, MDPI, vol. 18(11), pages 1-27, June.
    2. Marissa B Kosnik & David M Reif & Danelle T Lobdell & Thomas Astell-Burt & Xiaoqi Feng & John D Hader & Jane A Hoppin, 2019. "Associations between access to healthcare, environmental quality, and end-stage renal disease survival time: Proportional-hazards models of over 1,000,000 people over 14 years," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-17, March.
    3. Gijbels, Irène & Kika, Vojtěch & Omelka, Marek, 2021. "On the specification of multivariate association measures and their behaviour with increasing dimension," Journal of Multivariate Analysis, Elsevier, vol. 182(C).
    4. Jane E. Gallagher & Elaine Cohen Hubal & Laura Jackson & Jefferson Inmon & Edward Hudgens & Ann H. Williams & Danelle Lobdell & John Rogers & Timothy Wade, 2013. "Sustainability, Health and Environmental Metrics: Impact on Ranking and Associations with Socioeconomic Measures for 50 U.S. Cities," Sustainability, MDPI, vol. 5(2), pages 1-16, February.
    5. Ruopeng An & Xinye Li & Ning Jiang, 2017. "Geographical Variations in the Environmental Determinants of Physical Inactivity among U.S. Adults," IJERPH, MDPI, vol. 14(11), pages 1-10, October.
    6. Yun Jian & Connor Y. H. Wu & Julia M. Gohlke, 2017. "Effect Modification by Environmental Quality on the Association between Heatwaves and Mortality in Alabama, United States," IJERPH, MDPI, vol. 14(10), pages 1-11, September.
    7. Chenaz B. Seelarbokus, 2014. "Assessing the Effectiveness of International Environmental Agreements (IEAs)," SAGE Open, , vol. 4(1), pages 21582440145, February.
    8. Sida Zhuang & Gabriele Bolte & Tobia Lakes, 2022. "Exploring Environmental Health Inequalities: A Scientometric Analysis of Global Research Trends (1970–2020)," IJERPH, MDPI, vol. 19(12), pages 1-25, June.

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