Evidence map›Paper›PMID 35045864›Full record

ArticleInternational journal of health geographics2022

Reconciling public health common good and individual privacy: new methods and issues in geoprivacy.

Maged N Kamel Boulos, Mei-Po Kwan, Khaled El Emam, Ada Lai-Ling Chung, Song Gao, Douglas B Richardson

Abstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of health geographics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Privacy-by-Design Environments for Large-Scale Health Research and Federated Learning from Data.International journal of environmental research and public health · 2022
    Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Maged N Kamel BoulosInstitute for Preventive Medicine and Public Health, School of Medicine (FMUL), University of Lisbon, 1649-028, Lisbon, Portugal. mnkboulos@ieee.org.
Mei-Po KwanInstitute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Khaled El EmamSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, K1G 5Z3, Canada.
Ada Lai-Ling ChungOffice of the Privacy Commissioner for Personal Data, Wanchai, Hong Kong, China.
Song GaoDepartment of Geography, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Douglas B RichardsonCentre for Geographic Analysis, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, 02138, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article provides a state-of-the-art summary of location privacy issues and geoprivacy-preserving methods in public health interventions and health research involving disaggregate geographic data about individuals. Synthetic data generation (from real data using machine learning) is discussed in detail as a promising privacy-preserving approach. To fully achieve their goals, privacy-preserving methods should form part of a wider comprehensive socio-technical framework for the appropriate disclosure, use and dissemination of data containing personal identifiable information. Select highlights are also presented from a related December 2021 AAG (American Association of Geographers) webinar that explored ethical and other issues surrounding the use of geospatial data to address public health issues during challenging crises, such as the COVID-19 pandemic.

Indexed as

COVID-19PrivacyConfidentialityHumansPandemicsPublic HealthSARS-CoV-2Social JusticeGeoprivacyLocation privacyMachine learningPrivacy enhancing technologyPublic healthSynthetic data

Identifiers

PMID35045864
PMCPMC8767534

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.