Impacts of census differential privacy for small-area disease mapping to monitor health inequities.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
18 08 2023
Historique:
medline: 21 8 2023
pubmed: 18 8 2023
entrez: 18 8 2023
Statut: ppublish

Résumé

The U.S. Census Bureau will implement a modernized privacy-preserving disclosure avoidance system (DAS), which includes application of differential privacy, on publicly released 2020 census data. There are concerns that the DAS may bias small-area and demographically stratified population counts, which play a critical role in public health research, serving as denominators in estimation of disease/mortality rates. Using three DAS demonstration products, we quantify errors attributable to reliance on DAS-protected denominators in standard small-area disease mapping models for characterizing health inequities. We conduct simulation studies and real data analyses of inequities in premature mortality at the census tract level in Massachusetts and Georgia. Results show that overall patterns of inequity by racialized group and economic deprivation level are not compromised by the DAS. While early versions of DAS induce errors in mortality rate estimation that are larger for Black than non-Hispanic white populations in Massachusetts, this issue is ameliorated in newer DAS versions.

Identifiants

pubmed: 37595037
doi: 10.1126/sciadv.ade8888
pmc: PMC10438951
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eade8888

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Auteurs

Yanran Li (Y)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Brent A Coull (BA)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Nancy Krieger (N)

Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Emily Peterson (E)

Department of Biostatistics and Bioinformatics, Emory Rollins School of Public Health, Atlanta, GA, USA.

Lance A Waller (LA)

Department of Biostatistics and Bioinformatics, Emory Rollins School of Public Health, Atlanta, GA, USA.

Jarvis T Chen (JT)

Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Rachel C Nethery (RC)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

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