A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The lockdown, mobility, and spatial health disparities in COVID-19 pandemic: A case study of New York City
Abstract The world has adopted unprecedented lockdown as the key method to mitigate COVID-19; yet its effect on pandemic outcomes and health disparities remains largely unknown. Adopting a multilevel conceptual framework, this research investigates how city-level lockdown policy and public transit system shape mobility and thus intra-city health disparities, using New York City as a case study. With a spatial method and multiple sources of data, this research demonstrates the uneven impact of the lockdown policy and public transit system in shaping local pandemic outcomes. Census tracts with people spending more time at home have lower infection and death rates, while those with a higher density of transit stations have higher infection and death rates. Residential profile matters and census tracts with a higher concentration of disadvantaged population, such as Blacks, Hispanics, poor and elderly people, and people with no health insurance, have higher infection and death rates. Spatial analyses identify clusters where the lockdown policy was not effective and census tracts that share similar pandemic characteristics. Through the lens of mobility, this research advances knowledge of health disparities by focusing on institutional causes for health disparities and the role of the government through intervention policy and public transit system.
Highlights Under the lockdown, people in NYC spent about 20% more time at home during the pandemic than before. Census tracts with people spending more time at home have lower infection and death rates. Census tracts with a higher density of subway stations and bus stops have higher infection and death rates. Census tracts with a concentration of Blacks, Hispanics, elderly, uninsured, poor and large households have higher infection and death rates. Interestingly, a higher concentration of Asians is associated with lower infection rate. The effects of the lockdown, public transit stations and socioeconomic factors vary significantly across space. High risk clusters are identified for possible localized policy interventions.
The lockdown, mobility, and spatial health disparities in COVID-19 pandemic: A case study of New York City
Abstract The world has adopted unprecedented lockdown as the key method to mitigate COVID-19; yet its effect on pandemic outcomes and health disparities remains largely unknown. Adopting a multilevel conceptual framework, this research investigates how city-level lockdown policy and public transit system shape mobility and thus intra-city health disparities, using New York City as a case study. With a spatial method and multiple sources of data, this research demonstrates the uneven impact of the lockdown policy and public transit system in shaping local pandemic outcomes. Census tracts with people spending more time at home have lower infection and death rates, while those with a higher density of transit stations have higher infection and death rates. Residential profile matters and census tracts with a higher concentration of disadvantaged population, such as Blacks, Hispanics, poor and elderly people, and people with no health insurance, have higher infection and death rates. Spatial analyses identify clusters where the lockdown policy was not effective and census tracts that share similar pandemic characteristics. Through the lens of mobility, this research advances knowledge of health disparities by focusing on institutional causes for health disparities and the role of the government through intervention policy and public transit system.
Highlights Under the lockdown, people in NYC spent about 20% more time at home during the pandemic than before. Census tracts with people spending more time at home have lower infection and death rates. Census tracts with a higher density of subway stations and bus stops have higher infection and death rates. Census tracts with a concentration of Blacks, Hispanics, elderly, uninsured, poor and large households have higher infection and death rates. Interestingly, a higher concentration of Asians is associated with lower infection rate. The effects of the lockdown, public transit stations and socioeconomic factors vary significantly across space. High risk clusters are identified for possible localized policy interventions.
The lockdown, mobility, and spatial health disparities in COVID-19 pandemic: A case study of New York City
Huang, Youqin (author) / Li, Rui (author)
Cities ; 122
2021-12-28
Article (Journal)
Electronic Resource
English
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