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Tools for Address Georeferencing – Limitations and Opportunities Every Public Health Professional Should Be Aware Of

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  • Ana Isabel Ribeiro
  • Andreia Olhero
  • Hugo Teixeira
  • Alexandre Magalhães
  • Maria Fátima Pina

Abstract

Various address georeferencing (AG) tools are currently available. But little is known about the quality of each tool. Using data from the EPIPorto cohort we compared the most commonly used AG tools in terms of positional error (PE) and subjects' misclassification according to census tract socioeconomic status (SES), a widely used variable in epidemiologic studies. Participants of the EPIPorto cohort (n = 2427) were georeferenced using Geographical Information Systems (GIS) and Google Earth (GE). One hundred were randomly selected and georeferenced using three additional tools: 1) cadastral maps (gold-standard); 2) Global Positioning Systems (GPS) and 3) Google Earth, single and in a batch. Mean PE and the proportion of misclassified individuals were compared. Google Earth showed lower PE than GIS, but 10% of the addresses were imprecisely positioned. Thirty-eight, 27, 16 and 14% of the participants were located in the wrong census tract by GIS, GPS, GE (batch) and GE (single), respectively (p

Suggested Citation

  • Ana Isabel Ribeiro & Andreia Olhero & Hugo Teixeira & Alexandre Magalhães & Maria Fátima Pina, 2014. "Tools for Address Georeferencing – Limitations and Opportunities Every Public Health Professional Should Be Aware Of," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-13, December.
  • Handle: RePEc:plo:pone00:0114130
    DOI: 10.1371/journal.pone.0114130
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    References listed on IDEAS

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    1. Krieger, N. & Waterman, P. & Lemieux, K. & Zierler, S. & Hogan, J.W., 2001. "On the wrong side of the tracts? Evaluating the accuracy of geocoding in public health research," American Journal of Public Health, American Public Health Association, vol. 91(7), pages 1114-1116.
    2. Howe, H.L., 1986. "Geocoding NY State Cancer Registry," American Journal of Public Health, American Public Health Association, vol. 76(12), pages 1459-1460.
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    1. Jared A. Fisher & Maya Spaur & Ian D. Buller & Abigail R. Flory & Laura E. Beane Freeman & Jonathan N. Hofmann & Michael Giangrande & Rena R. Jones & Mary H. Ward, 2021. "Spatial Heterogeneity in Positional Errors: A Comparison of Two Residential Geocoding Efforts in the Agricultural Health Study," IJERPH, MDPI, vol. 18(4), pages 1-13, February.
    2. Vânia Rocha & Ana Isabel Ribeiro & Milton Severo & Henrique Barros & Sílvia Fraga, 2017. "Neighbourhood socioeconomic deprivation and health-related quality of life: A multilevel analysis," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-16, December.

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