Modeling the Potential Impact of Missing Race and Ethnicity Data in Infectious Disease Surveillance Systems on Disparity Measures: Scenario Analysis of Different Imputation Strategies.

Ansari, Bahareh; Hart-Malloy, Rachel; Rosenberg, Eli S; Trigg, Monica; Martin, Erika G

Ansari, Bahareh; Hart-Malloy, Rachel; Rosenberg, Eli S; Trigg, Monica; Martin, Erika G.

Afiliação

Ansari B; Center for Policy Research, Rockefeller College of Public Affairs and Policy, University at Albany, Albany, NY, United States.
Hart-Malloy R; Center for Collaborative HIV Research in Practice and Policy, School of Public Health, University at Albany, Albany, NY, United States.
Rosenberg ES; Center for Collaborative HIV Research in Practice and Policy, School of Public Health, University at Albany, Albany, NY, United States.
Trigg M; New York State Department of Health, Albany, NY, United States.
Martin EG; Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, Albany, NY, United States.

JMIR Public Health Surveill ; 8(11): e38037, 2022 11 09.

Article em En | MEDLINE | ID: mdl-36350701

Assuntos

Gonorreia; Sífilis; Estados Unidos/epidemiologia; Humanos; Etnicidade; Gonorreia/epidemiologia; Grupos Minoritários; Sífilis/epidemiologia; Coleta de Dados

Palavras-chave

health equity; imputation; missing data; sexually transmitted diseases; surveillance

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gonorreia / Sífilis Tipo de estudo: Screening_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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