Wealth, health, and beyond: Is COVID-19 less likely to spread in rich neighborhoods?
- PMID: 35536847
- PMCID: PMC9089870
- DOI: 10.1371/journal.pone.0267487
Wealth, health, and beyond: Is COVID-19 less likely to spread in rich neighborhoods?
Abstract
Since December 2019, the COVID-19 pandemic has quickly spread across the world. The traditional understanding of the relationship between wealth and the spread of contagious diseases is that similar to many precedent epidemics, the pandemic spread easily in poor neighborhoods in many countries. The environmental and socioeconomic implications of the COVID-19 pandemic are still poorly understood, thus this paper examines the relationship between neighborhood characteristics and the spread of the pandemic through a case study of Shenzhen, a Chinese megacity with many low-income rural migrants. The major finding is that wealthier and larger neighborhoods in Shenzhen were more likely to be infected in the first wave of the pandemic in 2020. This spread pattern is likely to result from China's strict control to prevent the pandemic, human mobility, and demographic characteristics such as income. This finding reveals a new phenomenon that contrasts with the traditional understanding of the influence of wealth on the spread of epidemics. This paper enriches the understanding of the role of neighborhoods in the spread of the pandemic, and it has important public policy implications.
Conflict of interest statement
The authors have declared that no competing interests exist.
Figures




Similar articles
-
Estimating the COVID-19 Spread Through Real-time Population Mobility Patterns: Surveillance in Low- and Middle-Income Countries.J Med Internet Res. 2021 Jun 14;23(6):e22999. doi: 10.2196/22999. J Med Internet Res. 2021. PMID: 33950850 Free PMC article.
-
Examining Multilevel Correlates of Geographic Mobility in a Sample of US Young Adults Before and During the COVID-19 Pandemic.J Community Health. 2023 Feb;48(1):166-172. doi: 10.1007/s10900-022-01146-9. Epub 2022 Nov 5. J Community Health. 2023. PMID: 36334216 Free PMC article.
-
Socioeconomic determinants of stay-at-home policies during the first COVID-19 wave.Front Public Health. 2023 Jul 5;11:1193100. doi: 10.3389/fpubh.2023.1193100. eCollection 2023. Front Public Health. 2023. PMID: 37475770 Free PMC article.
-
Double jeopardy from the COVID-19 pandemic: risk of exposure and income loss in Portugal.Int J Equity Health. 2021 Oct 20;20(1):231. doi: 10.1186/s12939-021-01569-1. Int J Equity Health. 2021. PMID: 34670581 Free PMC article.
-
Response to COVID-19 in the Central African Republic: Coping Strategies Combined With China's Experience.Int J Public Health. 2022 Apr 25;67:1604344. doi: 10.3389/ijph.2022.1604344. eCollection 2022. Int J Public Health. 2022. PMID: 35548685 Free PMC article. Review.
Cited by
-
Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate.Int J Environ Res Public Health. 2022 Oct 11;19(20):12997. doi: 10.3390/ijerph192012997. Int J Environ Res Public Health. 2022. PMID: 36293576 Free PMC article. Review.
-
COVID-19 vaccination acceptance in underserved urban areas of Islamabad and Rawalpindi: results from a cross-sectional survey.BMC Public Health. 2022 Dec 8;22(1):2299. doi: 10.1186/s12889-022-14553-3. BMC Public Health. 2022. PMID: 36482435 Free PMC article.
References
-
- Ren X. Pandemic and lockdown: a territorial approach to COVID-19 in China, Italy and the United States. Eurasian Geography and Economics. 2020; 61 (4–5): 423–34. 10.1080/15387216.2020.1762103. - DOI
-
- Qi J, Zhang D, Zhang X, Yin P, Liu J, Pan Y, et al.. Do Lockdowns Bring about Additional Mortality Benefits or Costs? Evidence based on Death Records from 300 Million Chinese People. medRxiv. 2020: 2020.08.28.20183699. 10.1101/2020.08.28.20183699. - DOI
-
- WHO. Coronavirus disease (COVID-19) Situation Report–13 February 2021. 2021.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical