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Deyi Zheng

Biographic Data

ID6063857
NAMEDeyi Zheng
GIVEN NAMESDeyi
FAMILY NAMEZheng
SIGNATUREZHENG D
AFFILIATIONSLeonard E. Egede and Deyi Zheng are with the Departments of Medicine and of Biometry and Epidemiology, Medical University of South Carolina, Charleston.
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS9
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2003
LATEST PUBLICATION YEAR2003
H-INDEX1
  • Racial/Ethnic Differences in Influenza Vaccination Coverage in High-Risk Adults

    L E Egede, Deyi Zheng•ARTICLE•American Journal of Public Health•2003•Cited by: 9•References: 14

    Objectives. This study identified racial/ethnic disparities in influenza vaccination in high-risk adults. Methods. We analyzed data on influenza vaccination in 7655 adults with high-risk conditions, using data from the 1999 National Health Interview Survey (NHIS). We stratified data by age and used multiple logistic regression to adjust for gender, education, income, employment, and health care access. Results. After control for covariates, White…

  • Racial/Ethnic Differences in Influenza Vaccination Coverage in High-Risk Adults

    L E Egede, Deyi Zheng•ARTICLE•American Journal of Public Health•2003•Cited by: 9•References: 14

    Objectives. This study identified racial/ethnic disparities in influenza vaccination in high-risk adults. Methods. We analyzed data on influenza vaccination in 7655 adults with high-risk conditions, using data from the 1999 National Health Interview Survey (NHIS). We stratified data by age and used multiple logistic regression to adjust for gender, education, income, employment, and health care access. Results. After control for covariates, White…

  • Racial/Ethnic Differences in Influenza Vaccination Coverage in High-Risk Adults

    L E Egede, Deyi Zheng•ARTICLE•American Journal of Public Health•2003•Cited by: 9•References: 14

    Objectives. This study identified racial/ethnic disparities in influenza vaccination in high-risk adults. Methods. We analyzed data on influenza vaccination in 7655 adults with high-risk conditions, using data from the 1999 National Health Interview Survey (NHIS). We stratified data by age and used multiple logistic regression to adjust for gender, education, income, employment, and health care access. Results. After control for covariates, White…

Demography (1 works) · Environmental health (1 works) · Ethnic group (1 works) · Gerontology (1 works) · Gerontology (1 works) · Health care (1 works) · Immunology (1 works) · Immunology (1 works) · Influenza Virus Research Studies (1 works) · Internal Medicine (1 works)

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