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 inResearch in social stratification and mobility Vol. 72; p. 100584
Main Authors Wu, Xiaogang, Li, Xiaoguang, Lu, Yao, Hout, Michael
Format Journal Article
LanguageEnglish
Published United States Elsevier Ltd 01.04.2021
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Online AccessGet full text
ISSN0276-5624
1878-5654
0276-5624
DOI10.1016/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.
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
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  organization: Department of Sociology, Columbia 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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StartPage 100584
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
URI https://dx.doi.org/10.1016/j.rssm.2021.100584
https://www.ncbi.nlm.nih.gov/pubmed/33612911
https://www.proquest.com/docview/2492283176
https://pubmed.ncbi.nlm.nih.gov/PMC7881731
Volume 72
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