Literature DB >> 20953360

Geomasking sensitive health data and privacy protection: an evaluation using an E911 database.

William B Allshouse1, Molly K Fitch, Kristen H Hampton, Dionne C Gesink, Irene A Doherty, Peter A Leone, Marc L Serre, William C Miller.   

Abstract

Geomasking is used to provide privacy protection for individual address information while maintaining spatial resolution for mapping purposes. Donut geomasking and other random perturbation geomasking algorithms rely on the assumption of a homogeneously distributed population to calculate displacement distances, leading to possible under-protection of individuals when this condition is not met. Using household data from 2007, we evaluated the performance of donut geomasking in Orange County, North Carolina. We calculated the estimated k-anonymity for every household based on the assumption of uniform household distribution. We then determined the actual k-anonymity by revealing household locations contained in the county E911 database. Census block groups in mixed-use areas with high population distribution heterogeneity were the most likely to have privacy protection below selected criteria. For heterogeneous populations, we suggest tripling the minimum displacement area in the donut to protect privacy with a less than 1% error rate.

Entities:  

Year:  2010        PMID: 20953360      PMCID: PMC2952889          DOI: 10.1080/10106049.2010.496496

Source DB:  PubMed          Journal:  Geocarto Int        ISSN: 1010-6049            Impact factor:   4.889


  9 in total

1.  State initiatives in geocoding vital statistics data.

Authors:  M F MacDorman; G A Gay
Journal:  J Public Health Manag Pract       Date:  1999-03

Review 2.  Geographically masking health data to preserve confidentiality.

Authors:  M P Armstrong; G Rushton; D L Zimmerman
Journal:  Stat Med       Date:  1999-03-15       Impact factor: 2.373

3.  A context-sensitive approach to anonymizing spatial surveillance data: impact on outbreak detection.

Authors:  Christopher A Cassa; Shaun J Grannis; J Marc Overhage; Kenneth D Mandl
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

4.  Using software agents to preserve individual health data confidentiality in micro-scale geographical analyses.

Authors:  Maged N Kamel Boulos; Qiang Cai; Julian A Padget; Gerard Rushton
Journal:  J Biomed Inform       Date:  2005-07-26       Impact factor: 6.317

Review 5.  Geocoding in cancer research: a review.

Authors:  Gerard Rushton; Marc P Armstrong; Josephine Gittler; Barry R Greene; Claire E Pavlik; Michele M West; Dale L Zimmerman
Journal:  Am J Prev Med       Date:  2006-02       Impact factor: 5.043

6.  No place to hide--reverse identification of patients from published maps.

Authors:  John S Brownstein; Christopher A Cassa; Kenneth D Mandl
Journal:  N Engl J Med       Date:  2006-10-19       Impact factor: 91.245

7.  Confidentiality concerns with mapping survey data in reproductive health research.

Authors:  Jill E Sherman; Tamara L Fetters
Journal:  Stud Fam Plann       Date:  2007-12

8.  Privacy protection versus cluster detection in spatial epidemiology.

Authors:  Karen L Olson; Shaun J Grannis; Kenneth D Mandl
Journal:  Am J Public Health       Date:  2006-10-03       Impact factor: 9.308

9.  Revealing the spatial distribution of a disease while preserving privacy.

Authors:  Shannon C Wieland; Christopher A Cassa; Kenneth D Mandl; Bonnie Berger
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-17       Impact factor: 11.205

  9 in total
  14 in total

1.  Lung and stomach cancer associations with groundwater radon in North Carolina, USA.

Authors:  Kyle P Messier; Marc L Serre
Journal:  Int J Epidemiol       Date:  2017-04-01       Impact factor: 7.196

2.  The verified neighbor approach to geoprivacy: An improved method for geographic masking.

Authors:  Wayne Richter
Journal:  J Expo Sci Environ Epidemiol       Date:  2017-09-20       Impact factor: 5.563

3.  Are neighborhood sociocultural factors influencing the spatial pattern of gonorrhea in North Carolina?

Authors:  Ashleigh B Sullivan; Dionne C Gesink; Patrick Brown; Lutong Zhou; Jay S Kaufman; Molly Fitch; Marc L Serre; William C Miller
Journal:  Ann Epidemiol       Date:  2011-04       Impact factor: 3.797

4.  Working toward effective anonymization for surveillance data: innovation at South Africa's Agincourt Health and Socio-Demographic Surveillance Site.

Authors:  Lori M Hunter; Catherine Talbot; Wayne Twine; Joe McGlinchy; Chodziwadziwa Kabudula; Daniel Ohene-Kwofie
Journal:  Popul Environ       Date:  2021-03-24

5.  Does core area theory apply to sexually transmitted diseases in rural environments?

Authors:  Dionne C Gesink; Ashleigh B Sullivan; Todd A Norwood; Marc L Serre; William C Miller
Journal:  Sex Transm Dis       Date:  2013-01       Impact factor: 2.830

6.  Confidentiality considerations for use of social-spatial data on the social determinants of health: Sexual and reproductive health case study.

Authors:  Danielle F Haley; Stephen A Matthews; Hannah L F Cooper; Regine Haardörfer; Adaora A Adimora; Gina M Wingood; Michael R Kramer
Journal:  Soc Sci Med       Date:  2016-08-08       Impact factor: 4.634

7.  Community Engaged Cumulative Risk Assessment of Exposure to Inorganic Well Water Contaminants, Crow Reservation, Montana.

Authors:  Margaret J Eggers; John T Doyle; Myra J Lefthand; Sara L Young; Anita L Moore-Nall; Larry Kindness; Roberta Other Medicine; Timothy E Ford; Eric Dietrich; Albert E Parker; Joseph H Hoover; Anne K Camper
Journal:  Int J Environ Res Public Health       Date:  2018-01-05       Impact factor: 3.390

8.  Street masking: a network-based geographic mask for easily protecting geoprivacy.

Authors:  David Swanlund; Nadine Schuurman; Paul Zandbergen; Mariana Brussoni
Journal:  Int J Health Geogr       Date:  2020-07-06       Impact factor: 3.918

9.  A Geoprivacy by Design Guideline for Research Campaigns That Use Participatory Sensing Data.

Authors:  Ourania Kounadi; Bernd Resch
Journal:  J Empir Res Hum Res Ethics       Date:  2018-04-23       Impact factor: 1.742

Review 10.  Ensuring Confidentiality of Geocoded Health Data: Assessing Geographic Masking Strategies for Individual-Level Data.

Authors:  Paul A Zandbergen
Journal:  Adv Med       Date:  2014-04-29
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