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Population distribution by ethnicities and the disparities in health risk and coping in the United States during the pandemic: the spatial and time dynamics.
Li, Jiannan; Wang, Xinmeng; Yuan, Bocong.
  • Li J; Institute of Advanced Studies in Humanities and Social Sciences, Beijing Normal University, Zhuhai, China.
  • Wang X; School of Tourism Management, Sun Yat-Sen University, West Xingang Rd. 135, Guangzhou, 510275, China.
  • Yuan B; School of Tourism Management, Sun Yat-Sen University, West Xingang Rd. 135, Guangzhou, 510275, China. yuanbc@mail.sysu.edu.cn.
Arch Public Health ; 80(1): 93, 2022 Mar 25.
Article in English | MEDLINE | ID: covidwho-1756414
ABSTRACT

BACKGROUND:

As a multi-ethnic country, the US is increasingly concerned about ethnic minorities facing disproportionate health risks of the coronavirus disease 2019 (COVID-19) pandemic. This study attempted to provide a macro picture of the associations between population distribution by ethnicity and the vulnerability to COVID-19 in terms of infection risk and vaccination coverage in the US.

METHODS:

This study used multi-source data from New York Times, County Health Rankings & Roadmap Program (2020), and the Center for Disease Control and Prevention. Multiple linear regressions were performed at equidistant time points (May 2020-Jan 2021, with one-month interval between each time point) to reveal the association between population distribution by ethnicities and the infection risk and the dynamics over time. Besides, multiple linear regressions were also conducted at equidistant time points (Jan 2021-Aug 2021) to reveal whether health disparities between ethnicities would hold true for the COVID-19 vaccination coverage (in total population, and among those > 12, > 18, and > 65 years of age).

RESULTS:

Both the COVID-19 confirmed cases (population standardized) and the vaccination coverage (in total population, and among those > 12, > 18, and > 65 years of age) were significantly associated with the population distribution by ethnicity (e.g., population percentage of ethnic minorities). Above associations were statistically significant for non-Hispanic blacks and Hispanics, but not for Asian Americans.

CONCLUSIONS:

A proportion of socioeconomically-disadvantageous population could be a key intuitive reflection of the risk level of this public health crisis. The policy focusing on the vulnerable population is important in this pandemic.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines Language: English Journal: Arch Public Health Year: 2022 Document Type: Article Affiliation country: S13690-022-00858-7

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines Language: English Journal: Arch Public Health Year: 2022 Document Type: Article Affiliation country: S13690-022-00858-7