Racial Segregation, Testing Site Access, and COVID-19 Incidence Rate in Massachusetts, USA

被引:36
|
作者
Hu, Tao [1 ,2 ]
Yue, Han [3 ]
Wang, Changzhen [4 ]
She, Bing [5 ]
Ye, Xinyue [6 ]
Liu, Regina [7 ]
Zhu, Xinyan [8 ,9 ]
Guan, Weihe Wendy [1 ]
Bao, Shuming [10 ]
机构
[1] Harvard Univ, Ctr Geog Anal, Cambridge, MA 02138 USA
[2] Wuhan Univ, Geocomputat Ctr Social Sci, Wuhan 430079, Peoples R China
[3] Guangzhou Univ, Ctr GeoInformat Publ Secur, Sch Geog & Remote Sensing, Guangzhou 510006, Peoples R China
[4] Louisiana State Univ, Dept Geog & Anthropol, Baton Rouge, LA 70803 USA
[5] Univ Michigan, Inst Social Res, Ann Arbor, MI 48106 USA
[6] Texas A&M Univ, Dept Landscape Architecture & Urban Planning, College Stn, TX 77840 USA
[7] Mercer Univ, Dept Biol, Macon, GA 31207 USA
[8] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
[9] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China
[10] China Data Inst, Ann Arbor, MI 48108 USA
关键词
COVID-19 incidence rate; racial segregation; access to testing site; spatial regression; RESIDENTIAL SEGREGATION; DISPARITIES;
D O I
10.3390/ijerph17249528
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页码:1 / 18
页数:18
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