Literature DB >> 33799134

The association between socioeconomic status and mobility reductions in the early stage of England's COVID-19 epidemic.

Won Do Lee1, Matthias Qian2, Tim Schwanen3.   

Abstract

This study uses mobile phone data to examine how socioeconomic status was associated with the extent of mobility reduction during the spring 2020 lockdown in England in a manner that considers both potentially confounding effects and spatial dependency and heterogeneity. It shows that socioeconomic status as approximated through income and occupation was strongly correlated with the extent of mobility reduction. It also demonstrates that the specific nature of the association of socioeconomic status with mobility reduction varied markedly across England. Finally, the analysis suggests that the spatial differentiation in the ability to restrict everyday mobility in response to a national lockdown is an important topic for future research. Crown
Copyright © 2021. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  COVID-19; Everyday mobility; Lockdown; Socioeconomic status; Spatial complexity

Year:  2021        PMID: 33799134     DOI: 10.1016/j.healthplace.2021.102563

Source DB:  PubMed          Journal:  Health Place        ISSN: 1353-8292            Impact factor:   4.078


  9 in total

1.  Using GPS-enabled mobile phones to evaluate the associations between human mobility changes and the onset of influenza illness.

Authors:  Youngseob Eum; Eun-Hye Yoo
Journal:  Spat Spatiotemporal Epidemiol       Date:  2021-11-12

2.  Addressing the socioeconomic divide in computational modeling for infectious diseases.

Authors:  Michele Tizzoni; Elaine O Nsoesie; Laetitia Gauvin; Márton Karsai; Nicola Perra; Shweta Bansal
Journal:  Nat Commun       Date:  2022-05-24       Impact factor: 17.694

3.  Assessing the impact of mobility on the incidence of COVID-19 in Dublin City.

Authors:  Christopher K Manzira; Anna Charly; Brian Caulfield
Journal:  Sustain Cities Soc       Date:  2022-02-10       Impact factor: 10.696

4.  Socioeconomic Inequalities in COVID-19 Incidence During Different Epidemic Phases in South Korea.

Authors:  Dae-Sung Yoo; Minji Hwang; Byung Chul Chun; Su Jin Kim; Mia Son; Nam-Kyu Seo; Myung Ki
Journal:  Front Med (Lausanne)       Date:  2022-03-08

5.  COVID-19 effects on urban driving, walking, and transit usage trends: Evidence from Indian metropolitan cities.

Authors:  Athul Padmakumar; Gopal R Patil
Journal:  Cities       Date:  2022-04-11

6.  Essential workers' pandemic mobilities and the changing meanings of the commute.

Authors:  Anna Plyushteva
Journal:  Geogr J       Date:  2022-05-24

7.  Examining the Influence of Housing Conditions and Daily Greenspace Exposure on People's Perceived COVID-19 Risk and Distress.

Authors:  Jianwei Huang; Mei-Po Kwan
Journal:  Int J Environ Res Public Health       Date:  2022-07-21       Impact factor: 4.614

8.  COVID-19 and related social distancing measures induce significant metabolic complications without prominent weight gain in Korean adults.

Authors:  Hae-Jin Ko; Yoon Jeong Cho; Kyoung-Kon Kim; Jee-Hyun Kang; Young-Sang Kim; Ji-Hee Haam; Yang-Im Hur; Hye-In Choi; Kyu Rae Lee; Jung Ha Park; Soo Hyun Cho; Jong-Koo Kim; Taesic Lee; Myung-Jae Seo; Yeong Sook Yoon; Yoobin Seo; Ga Eun Nam; Sun Hyun Kim
Journal:  Front Med (Lausanne)       Date:  2022-09-07

9.  Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility.

Authors:  Shaobin Wang; Yun Tong; Yupeng Fan; Haimeng Liu; Jun Wu; Zheye Wang; Chuanglin Fang
Journal:  Sci Rep       Date:  2021-07-19       Impact factor: 4.379

  9 in total

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