ArticleSustainable cities and society2021
Examining the spatial and temporal relationship between social vulnerability and stay-at-home behaviors in New York City during the COVID-19 pandemic.
Article in Sustainable cities and society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- What Makes Urban Communities More Resilient to COVID-19? A Systematic Review of Current Evidence.International journal of environmental research and public health · 2022Pooled it
- Travel Behaviour of Vulnerable Social Groups: Pre, during, and Post COVID-19 Pandemic.International journal of environmental research and public health · 2022Pooled it
- Health Behavior and Attitudes During the COVID-19 Pandemic Among Vulnerable and Underserved Latinx in the Southwest USA.Prevention science : the official journal of the Society for Prevention Research · 2024Article
- Modeling the Impacts of Governmental and Human Responses on COVID-19 Spread Using Statistical Machine Learning.International journal of digital earth · 2024Article
- Article
- Study on the spatial decomposition of the infection probability of COVID-19.Scientific reports · 2023Article
- COVID-19 spread prediction using socio-demographic and mobility-related data.Cities (London, England) · 2023Article
- The impact of ethnic segregation on neighbourhood-level social distancing in the United States amid the early outbreak of COVID-19.Urban studies (Edinburgh, Scotland) · 2023Article
- Impacts of the COVID-19 pandemic on the social sphere and lessons for crisis management: a literature review.Natural hazards (Dordrecht, Netherlands) · 2023Review
- A county-level analysis of association between social vulnerability and COVID-19 cases in Khuzestan Province, Iran.International journal of disaster risk reduction : IJDRR · 2023Article
- Green space justice amid COVID-19: Unequal access to public green space across American neighborhoods.Frontiers in public health · 2023Article
- Travel patterns of free-floating e-bike-sharing users before and during COVID-19 pandemic.Cities (London, England) · 2023Article
- Variability in Opioid-Related Drug Overdoses, Social Distancing, and Area-Level Deprivation during the COVID-19 Pandemic: a Bayesian Spatiotemporal Analysis.Journal of urban health : bulletin of the New York Academy of Medicine · 2022Article
- Examining the association between urban green space and viral transmission of COVID-19 during the early outbreak.Applied geography (Sevenoaks, England) · 2022Article
- Human activity and mobility data reveal disparities in exposure risk reduction indicators among socially vulnerable populations during COVID-19 for five U.S. metropolitan cities.Scientific reports · 2022Article
- Identifying the Determinants of Distribution ofPathogens (Basel, Switzerland) · 2022Article
- A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties.Sustainable cities and society · 2022Article
- Spatial Syndromic Surveillance and COVID-19 in the U.S.: Local Cluster Mapping for Pandemic Preparedness.International journal of environmental research and public health · 2022Article
- Data-driven multiscale modelling and analysis of COVID-19 spatiotemporal evolution using explainable AI.Sustainable cities and society · 2022Article
- Effect of COVID-19 Pandemic on Older New York City Residents Living at Home.Journal of community health · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
Social distancing and particularly staying at home are effective public health responses to the COVID-19 pandemic. The sheer scale of behavior changes across a mass population scale is unprecedented and will undoubtedly cause disproportionate hardships for certain vulnerable groups of population and marginalized communities during different periods of the pandemic. However, at the community level, few studies have considered the spatial and temporal variations in such public health behavior changes during this pandemic. We applied a geographically and temporally weighted regression (GTWR) to analyze the spatiotemporal pattern of community stay-at-home behaviors against social vulnerability indicators at the census tract level in New York City from March to August 2020. Our findings are generally supporting the conventional wisdom of social vulnerability yet they also offer new insights. Despite the spatial variations in the effects of social vulnerability on stay-at-home behaviors, people from different vulnerable groups are also exhibiting varying reactions to the pandemic over the duration of this study, thereby highlighting the importance of understanding the spatiotemporal pattern of public health behaviors to develop an effective policy response to avoid the risk of deepening inequalities and to promote a just and sustainable urban future.
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