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Kuang Xu

Biographic Data

ID3995886
NAMEKuang Xu
GIVEN NAMESKuang
FAMILY NAMEXu
SIGNATUREXU K
AFFILIATIONSTexas Tech University
ORCID0000-0002-2221-1648
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS2
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2002
LATEST PUBLICATION YEAR2020
H-INDEX1
  • No Detectable Surge in Sars-CoV-2 Transmission Attributable to the April 7, 2020 Wisconsin Election

    Kathy Leung, Joseph T Wu et al.•ARTICLE•American Journal of Public Health•2020•Cited by: 2•References: 2

    The April 7, 2020, Wisconsin election produced a large natural experiment to help understand the transmission risks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of April 14, 2020, 1 551 711 total votes were cast (https://bit.ly/2yWPhlF),1 and 1 138 491 absentee ballots were returned as of April 21, 2020,1 suggesting that approximately 413 220 people voted in person. Waiting times in Milwaukee averaged 1.5 to 2 hours.2 Poll …

  • Characteristics of Rural Elderly People Who Bypass Local Pharmacies

    Open Access•K Tom Xu, Kuang Xu et al.•ARTICLE•The Journal of Rural Health•2003

    Context: The bypassing of local pharmacies by consumers is an indicator of limited accessibility and, possibly, compromised quality of rural pharmacy services. Purpose: The objective of this study was to identify the characterisitcs of rural consumers who bypassed local pharmacies for their medication needs. Methods: The sample was derived from the Texas Tech 5000, a longitudinal survey in West Texas, and pharmacy data from the Texas State Board …

  • Compensating behaviors, regret, and heterogeneity in the dynamics of smoking behavior

    Open Access•K Tom Xu, Kuang Xu•ARTICLE•Social Science & Medicine•2002•References: 32

  • No Detectable Surge in Sars-CoV-2 Transmission Attributable to the April 7, 2020 Wisconsin Election

    Kathy Leung, Joseph T Wu et al.•ARTICLE•American Journal of Public Health•2020•Cited by: 2•References: 2

    The April 7, 2020, Wisconsin election produced a large natural experiment to help understand the transmission risks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of April 14, 2020, 1 551 711 total votes were cast (https://bit.ly/2yWPhlF),1 and 1 138 491 absentee ballots were returned as of April 21, 2020,1 suggesting that approximately 413 220 people voted in person. Waiting times in Milwaukee averaged 1.5 to 2 hours.2 Poll …

  • Compensating behaviors, regret, and heterogeneity in the dynamics of smoking behavior

    Open Access•K Tom Xu, Kuang Xu•ARTICLE•Social Science & Medicine•2002•References: 32

  • Characteristics of Rural Elderly People Who Bypass Local Pharmacies

    Open Access•K Tom Xu, Kuang Xu et al.•ARTICLE•The Journal of Rural Health•2003

    Context: The bypassing of local pharmacies by consumers is an indicator of limited accessibility and, possibly, compromised quality of rural pharmacy services. Purpose: The objective of this study was to identify the characterisitcs of rural consumers who bypassed local pharmacies for their medication needs. Methods: The sample was derived from the Texas Tech 5000, a longitudinal survey in West Texas, and pharmacy data from the Texas State Board …

  • No Detectable Surge in Sars-CoV-2 Transmission Attributable to the April 7, 2020 Wisconsin Election

    Kathy Leung, Joseph T Wu et al.•ARTICLE•American Journal of Public Health•2020•Cited by: 2•References: 2

    The April 7, 2020, Wisconsin election produced a large natural experiment to help understand the transmission risks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of April 14, 2020, 1 551 711 total votes were cast (https://bit.ly/2yWPhlF),1 and 1 138 491 absentee ballots were returned as of April 21, 2020,1 suggesting that approximately 413 220 people voted in person. Waiting times in Milwaukee averaged 1.5 to 2 hours.2 Poll …

Medicine (3 works) · Environmental health (2 works) · 2019-20 coronavirus outbreak (1 work) · Addiction (1 work) · Bivariate analysis (1 work) · Business (1 work) · Computer Science (1 work) · Context (archaeology (1 work) · Coronavirus disease 2019 (COVID-19) (1 work) · COVID-19 epidemiological studies (1 work)

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