Effect of race/ethnicity and socioeconomic status on pandemic H1N1-related outcomes in Massachusetts
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DOI: 10.2105/AJPH.2013.301626
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Cited by:
- Samuel V Scarpino & James G Scott & Rosalind M Eggo & Bruce Clements & Nedialko B Dimitrov & Lauren Ancel Meyers, 2020. "Socioeconomic bias in influenza surveillance," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-19, July.
- Tara L Upshaw & Chloe Brown & Robert Smith & Melissa Perri & Carolyn Ziegler & Andrew D Pinto, 2021. "Social determinants of COVID-19 incidence and outcomes: A rapid review," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-22, March.
- Daniel BĂ©land & Alex Jingwei He & M Ramesh, 2022. "COVID-19, crisis responses, and public policies: from the persistence of inequalities to the importance of policy design [The impact of COVID-19 on gender equality]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 41(2), pages 187-198.
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Keywords
adolescent; adult; age distribution; ancestry group; child; economics; ethnology; female; health disparity; human; Influenza virus A H1N1; Influenza; Human; intensive care; male; pandemic; risk factor; sex difference; social class; socioeconomics; statistics and numerical data; United States; virology; article; economics; ethnology; influenza; race; statistics; United States; Adolescent; Adult; Age Distribution; Child; Continental Population Groups; Female; Health Status Disparities; Humans; Influenza A Virus; H1N1 Subtype; Influenza; Human; Intensive Care; Male; Massachusetts; Pandemics; Risk Factors; Sex Factors; Social Class; Socioeconomic Factors; Adolescent; Adult; Age Distribution; Child; Continental Population Groups; Female; Health Status Disparities; Humans; Influenza A Virus; H1N1 Subtype; Influenza; Human; Intensive Care; Male; Massachusetts; Pandemics; Risk Factors; Sex Factors; Social Class; Socioeconomic Factors;All these keywords.
JEL classification:
- A - General Economics and Teaching
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