Two tales of one city: Unequal vulnerability and resilience to COVID-19 by socioeconomic status in Wuhan, China
•Higher SES is associated with a lower risk of infection of COVID-19.•Higher SES reduces mental distress during the pandemic, particularly for individuals or family members confirmed or suspected with COVID-19.•SES shapes the risk of infection and mental distress primarily through three channels: ac...
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Published in | Research in social stratification and mobility Vol. 72; p. 100584 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Ltd
01.04.2021
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Subjects | |
Online Access | Get full text |
ISSN | 0276-5624 1878-5654 0276-5624 |
DOI | 10.1016/j.rssm.2021.100584 |
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Abstract | •Higher SES is associated with a lower risk of infection of COVID-19.•Higher SES reduces mental distress during the pandemic, particularly for individuals or family members confirmed or suspected with COVID-19.•SES shapes the risk of infection and mental distress primarily through three channels: access to daily essential and protective supplies, employment status, and the community environment.
Although disasters such as pandemics are events that are random in nature, individuals’ vulnerability to natural disasters is inequitable and is shaped by their socioeconomic status (SES). This study examines health inequality by SES amid the COVID-19 pandemic and its underlying mechanisms in Wuhan, China’s epicenter. Using survey data collected in the city during the lockdown period from February 20 to March 6, 2020, we identify two ways in which SES shapes health inequalities—vulnerability and resilience to COVID-19. First, higher SES is associated with a lower risk of infection for both survey respondents and their family members. Second, higher SES reduces mental distress during the pandemic, and this protective effect is particularly strong for individuals who contract the virus or who have family members infected with the disease. Mediation analysis further illustrates that SES shapes the risk of infection and mental distress primarily through three channels: access to daily essential and protective supplies, employment status, and the community environment. These findings lend support to the fundamental cause theory that links socioeconomic differentials to health inequality in a unique context. The outbreak of COVID-19 magnifies pre-existing socioeconomic inequalities. |
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AbstractList | Although disasters such as pandemics are events that are random in nature, individuals’ vulnerability to natural disasters is inequitable and is shaped by their socioeconomic status (SES). This study examines health inequality by SES amid the COVID-19 pandemic and its underlying mechanisms in Wuhan, China’s epicenter. Using survey data collected in the city during the lockdown period from February 20 to March 6, 2020, we identify two ways in which SES shapes health inequalities—vulnerability and resilience to COVID-19. First, higher SES is associated with a lower risk of infection for both survey respondents and their family members. Second, higher SES reduces mental distress during the pandemic, and this protective effect is particularly strong for individuals who contract the virus or who have family members infected with the disease. Mediation analysis further illustrates that SES shapes the risk of infection and mental distress primarily through three channels: access to daily essential and protective supplies, employment status, and the community environment. These findings lend support to the fundamental cause theory that links socioeconomic differentials to health inequality in a unique context. The outbreak of COVID-19 magnifies pre-existing socioeconomic inequalities. Although disasters such as pandemics are events that are random in nature, individuals' vulnerability to natural disasters is inequitable and is shaped by their socioeconomic status (SES). This study examines health inequality by SES amid the COVID-19 pandemic and its underlying mechanisms in Wuhan, China's epicenter. Using survey data collected in the city during the lockdown period from February 20 to March 6, 2020, we identify two ways in which SES shapes health inequalities-vulnerability and resilience to COVID-19. First, higher SES is associated with a lower risk of infection for both survey respondents and their family members. Second, higher SES reduces mental distress during the pandemic, and this protective effect is particularly strong for individuals who contract the virus or who have family members infected with the disease. Mediation analysis further illustrates that SES shapes the risk of infection and mental distress primarily through three channels: access to daily essential and protective supplies, employment status, and the community environment. These findings lend support to the fundamental cause theory that links socioeconomic differentials to health inequality in a unique context. The outbreak of COVID-19 magnifies pre-existing socioeconomic inequalities.Although disasters such as pandemics are events that are random in nature, individuals' vulnerability to natural disasters is inequitable and is shaped by their socioeconomic status (SES). This study examines health inequality by SES amid the COVID-19 pandemic and its underlying mechanisms in Wuhan, China's epicenter. Using survey data collected in the city during the lockdown period from February 20 to March 6, 2020, we identify two ways in which SES shapes health inequalities-vulnerability and resilience to COVID-19. First, higher SES is associated with a lower risk of infection for both survey respondents and their family members. Second, higher SES reduces mental distress during the pandemic, and this protective effect is particularly strong for individuals who contract the virus or who have family members infected with the disease. Mediation analysis further illustrates that SES shapes the risk of infection and mental distress primarily through three channels: access to daily essential and protective supplies, employment status, and the community environment. These findings lend support to the fundamental cause theory that links socioeconomic differentials to health inequality in a unique context. The outbreak of COVID-19 magnifies pre-existing socioeconomic inequalities. •Higher SES is associated with a lower risk of infection of COVID-19.•Higher SES reduces mental distress during the pandemic, particularly for individuals or family members confirmed or suspected with COVID-19.•SES shapes the risk of infection and mental distress primarily through three channels: access to daily essential and protective supplies, employment status, and the community environment. Although disasters such as pandemics are events that are random in nature, individuals’ vulnerability to natural disasters is inequitable and is shaped by their socioeconomic status (SES). This study examines health inequality by SES amid the COVID-19 pandemic and its underlying mechanisms in Wuhan, China’s epicenter. Using survey data collected in the city during the lockdown period from February 20 to March 6, 2020, we identify two ways in which SES shapes health inequalities—vulnerability and resilience to COVID-19. First, higher SES is associated with a lower risk of infection for both survey respondents and their family members. Second, higher SES reduces mental distress during the pandemic, and this protective effect is particularly strong for individuals who contract the virus or who have family members infected with the disease. Mediation analysis further illustrates that SES shapes the risk of infection and mental distress primarily through three channels: access to daily essential and protective supplies, employment status, and the community environment. These findings lend support to the fundamental cause theory that links socioeconomic differentials to health inequality in a unique context. The outbreak of COVID-19 magnifies pre-existing socioeconomic inequalities. |
ArticleNumber | 100584 |
Author | Hout, Michael Li, Xiaoguang Lu, Yao Wu, Xiaogang |
Author_xml | – sequence: 1 givenname: Xiaogang surname: Wu fullname: Wu, Xiaogang organization: Center for Applied Social and Economic Research, NYU Shanghai, Department of Sociology, New York University, United States – sequence: 2 givenname: Xiaoguang surname: Li fullname: Li, Xiaoguang email: xiaoguangli@xjtu.edu.cn organization: Department of Sociology, Xi'an Jiaotong University, China – sequence: 3 givenname: Yao surname: Lu fullname: Lu, Yao organization: Department of Sociology, Columbia University, United States – sequence: 4 givenname: Michael surname: Hout fullname: Hout, Michael organization: Department of Sociology, New York University, United States |
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Keywords | COVID-19 Infection Socioeconomic status (SES) Health inequality Mental health |
Language | English |
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Snippet | •Higher SES is associated with a lower risk of infection of COVID-19.•Higher SES reduces mental distress during the pandemic, particularly for individuals or... Although disasters such as pandemics are events that are random in nature, individuals' vulnerability to natural disasters is inequitable and is shaped by... Although disasters such as pandemics are events that are random in nature, individuals’ vulnerability to natural disasters is inequitable and is shaped by... |
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SubjectTerms | COVID-19 Health inequality Infection Mental health Socioeconomic status (SES) |
Title | Two tales of one city: Unequal vulnerability and resilience to COVID-19 by socioeconomic status in Wuhan, China |
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