COVID-19 mortality in New York City across neighborhoods by race, ethnicity, and nativity status. (Special Issue: Examining the COVID crisis.)
Geographical Review
; 111(4):571-591, 2021.
Article
in English
| GIM | ID: covidwho-1747098
ABSTRACT
New York City has lost more lives from COVID-19 than any other American city. This study examines variation in covid-19 deaths across neighborhoods as it relates to variation in the racial, ethnic, and nativity-status composition of neighborhoods. This topic has received little scholarly attention and is imperative to explore, given the absence of racial and ethnic specific COVID-19 mortality rates by neighborhood. New York City is a racially and ethnically segregated city, and a longstanding destination of immigrants, making some neighborhoods more susceptible to greater levels of COVID-19 mortality than others. Using ZCTA-level data on COVID-19 deaths and demographic data from the American Community Survey, our descriptive and bivariate choropleth mapping analyses reveal that a racial, ethnic, and nativity-status hierarchy exists in the geographic distribution of COVID-19 mortality. Implications of these findings are discussed as they relate to residential segregation and persistent spatial inequalities faced by neighborhoods of color.
ethnic groups; neighbourhoods; demography; ethnicity; immigrants; mortality; urban areas; coronavirus disease 2019; viral diseases; human diseases; man; Severe acute respiratory syndrome coronavirus 2; New York; USA; Middle Atlantic States of USA; Northeastern States of USA; APEC countries; high income countries; North America; America; OECD Countries; very high Human Development Index countries; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; Severe acute respiratory syndrome-related coronavirus; Betacoronavirus; Coronavirinae; Coronaviridae; Nidovirales; positive-sense ssRNA Viruses; ssRNA Viruses; RNA Viruses; viruses; neighborhoods; ethnic differences; death rate; United States of America; SARS-CoV-2; viral infections
Full text:
Available
Collection:
Databases of international organizations
Database:
GIM
Language:
English
Journal:
Geographical Review
Year:
2021
Document Type:
Article
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