Evidence map›Paper›PMID 35402849›Full record

ArticleData and information management2022

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

Elisabeth Dubois, Xiaojun Yuan, DeeDee Bennett Gayle, Pallavi Khurana, Thora Knight, Salimah Laforce, David Turetsky, David Wild

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data and information management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 20 citations in OpenAlex.

  1. Sedentarism and Chronic Health Problems.Korean journal of family medicine · 2024
    Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Elisabeth DuboisCollege of Emergency Preparedness, Homeland Security, and Cybersecurity, University at Albany, State University of New York, Albany, NY, USA.
Xiaojun YuanCollege of Emergency Preparedness, Homeland Security, and Cybersecurity, University at Albany, State University of New York, Albany, NY, USA.
DeeDee Bennett GayleCollege of Emergency Preparedness, Homeland Security, and Cybersecurity, University at Albany, State University of New York, Albany, NY, USA.
Pallavi KhuranaDepartment of Communication, University at Albany, State University of New York, Albany, NY, USA.
Thora KnightCollege of Emergency Preparedness, Homeland Security, and Cybersecurity, University at Albany, State University of New York, Albany, NY, USA.
Salimah LaforceCenter for Advanced Communications Policy, Georgia Institute of Technology, Atlanta, GA, USA.
David TuretskyCollege of Emergency Preparedness, Homeland Security, and Cybersecurity, University at Albany, State University of New York, Albany, NY, USA.
David WildCrisis Technologies Innovation Lab, Indiana University Bloomington, Bloomington, IN, USA.
Albany State University · USGeorgia Institute of Technology · USIndiana University Bloomington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19Daily activitiesLifestyle changesSocially vulnerable populationTechnology adoption

Identifiers

PMID35402849
PMCPMC8975598
OpenAlexW4223492607

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.