Racial segregation, testing site access, and covid-19 incidence rate in Massachusetts, USA

Tao Hu, Han Yue, Changzhen Wang, Bing She, Xinyue Ye, Regina Liu, Xinyan Zhu, Weihe Wendy Guan, Shuming Bao

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The U.S. has merely 4% of the world population, but contains 25% of the world’s COVID-19 cases. Since the COVID-19 outbreak in the U.S., Massachusetts has been leading other states in the total number of COVID-19 cases. Racial residential segregation is a fundamental cause of racial disparities in health. Moreover, disparities of access to health care have a large impact on COVID-19 cases. Thus, this study estimates racial segregation and disparities in testing site access and employs economic, demographic, and transportation variables at the city/town level in Massachusetts. Spatial regression models are applied to evaluate the relationships between COVID-19 incidence rate and related variables. This is the first study to apply spatial analysis methods across neighborhoods in the U.S. to examine the COVID-19 incidence rate. The findings are: (1) Residential segregations of Hispanic and Non-Hispanic Black/African Americans have a significantly positive association with COVID-19 incidence rate, indicating the higher susceptibility of COVID-19 infections among minority groups. (2) Non-Hispanic Black/African Americans have the shortest drive time to testing sites, followed by Hispanic, Non-Hispanic Asians, and Non-Hispanic Whites. The drive time to testing sites is significantly negatively associated with the COVID-19 incidence rate, implying the importance of the accessibility of testing sites by all populations. (3) Poverty rate and road density are significant explanatory variables. Importantly, overcrowding represented by more than one person per room is a significant variable found to be positively associated with COVID-19 incidence rate, suggesting the effectiveness of social distancing for reducing infection. (4) Different from the findings of previous studies, the elderly population rate is not statistically significantly correlated with the incidence rate because the elderly population in Massachusetts is less distributed in the hotspot regions of COVID-19 infections. The findings in this study provide useful insights for policymakers to propose new strategies to contain the COVID-19 transmissions in Massachusetts.

Original languageEnglish (US)
Article number9528
Pages (from-to)1-18
Number of pages18
JournalInternational journal of environmental research and public health
Volume17
Issue number24
DOIs
StatePublished - Dec 2 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Keywords

  • Access to testing site
  • COVID-19 incidence rate
  • Racial segregation
  • Spatial regression

Fingerprint Dive into the research topics of 'Racial segregation, testing site access, and covid-19 incidence rate in Massachusetts, USA'. Together they form a unique fingerprint.

Cite this