Socially vulnerable populations adoption of technology to address lifestyle changes amid COVID-19 in the US

被引:9
作者
Dubois E. [1 ]
Yuan X. [1 ]
Bennett Gayle D. [1 ]
Khurana P. [2 ]
Knight T. [1 ]
Laforce S. [3 ]
Turetsky D. [1 ]
Wild D. [4 ]
机构
[1] College of Emergency Preparedness, Homeland Security, and Cybersecurity, University at Albany, State University of New York, Albany, NY
[2] Department of Communication, University at Albany, State University of New York, Albany, NY
[3] Center for Advanced Communications Policy, Georgia Institute of Technology, Atlanta, GA
[4] Crisis Technologies Innovation Lab, Indiana University Bloomington, Bloomington, IN
基金
美国国家科学基金会;
关键词
COVID-19; Daily activities; Lifestyle changes; Socially vulnerable population; Technology adoption;
D O I
10.1016/j.dim.2022.100001
中图分类号
学科分类号
摘要
The COVID-19 global pandemic has changed every facet of our lives overnight and has resulted in many challenges and opportunities. Utilizing the Lens of Vulnerability we investigate how disparities in technology adoption affect activities of daily living. In this paper, we analyze the existing literature and case studies regarding how the lifestyles of socially vulnerable populations have changed during the pandemic in terms of technology adoption. Socially vulnerable populations, such as racial and ethnic minorities, people with disabilities, older adults, children, and the socially isolated, are specifically addressed because they are groups of people who have been significantly and disproportionately affected by the pandemic. This paper emphasizes that despite seeing changes in and research on technology adoption across healthcare, employment, and education, the impact of COVID-19 in government and social services and activities of daily living is underdeveloped. The study concludes by offering practical and academic recommendations and future research directions. Lessons learned from the current pandemic and an understanding of the differential technology adoption for activities of daily living amid a disaster will help emergency managers, academics, and government officals prepare for and respond to future crises. © 2022 Wuhan University
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共 86 条
[1]  
16 Minutes, 20 new entertainment trends during COVID-19. Deluxe, (2020)
[2]  
Ardalan A., Fatemi F., Aguirre B., Mansouri N., Mohammdfam I., Assessing human vulnerability in industrial chemical accidents: A qualitative and quantitative methodological approach, Environmental Monitoring and Assessment, 191, 8, (2019)
[3]  
Balanza-Martinez V., Atienza-Carbonell B., Kapczinski F., De Boni R.B., Lifestyle behaviours during the COVID-19 – time to connect, Acta Psychiatrica Scandinavica, 141, 5, pp. 399-400, (2020)
[4]  
Bann D., Villadsen A., Maddock J., Hughes A., Ploubidis G., Silverwood R., Patalay P., Changes in the behavioural determinants of health during the coronavirus (COVID-19) pandemic: Gender, socioeconomic and ethnic inequalities in 5 British cohort studies [Preprint], Epidemiology, (2020)
[5]  
Bavel J.J.V., Baicker K., Boggio P.S., Capraro V., Cichocka A., Cikara M., Crockett M.J., Crum A.J., Douglas K.M., Druckman J.N., Drury J., Dube O., Ellemers N., Finkel E.J., Fowler J.H., Gelfand M., Han S., Haslam S.A., Jetten J., Willer R., Using social and behavioural science to support COVID-19 pandemic response, Nature Human Behaviour, 4, 5, pp. 460-471, (2020)
[6]  
Bennett D., Five years later: Assessing the implementation of the four priorities of the sendai framework for inclusion of people with disabilities, International Journal of Disaster Risk Science, 11, 2, pp. 155-166, (2020)
[7]  
Bennett Gayle D., Yuan X., Knight T., Coronavirus pandemic: The use of technology for education, employment, Livelihoods, Journal Assistive Technology, (2021)
[8]  
Blaikie P.M., At risk: Natural hazards, people's vulnerability, and disasters, (1994)
[9]  
Bradford J., Coe E., Enomoto K., Moss C., The implications of COVID-19 for vulnerable populations | McKinsey, McKinsey & Company, (2020)
[10]  
Campos-Castillo C., Revisiting the first-level digital divide in the United States: Gender and race/ethnicity patterns, 2007–2012, Social Science Computer Review, 33, 4, pp. 423-439, (2015)