In response to the COVID-19 pandemic, there has been a global surge in the development and implementation of digital interventions to diagnose, track, prevent and mitigate the spread of the SARS-CoV-2 coronavirus. To date, however, there has been little research to characterise the vast scope and scale of these novel, ad hoc and widely varied digital tools. This paper helps fill this gap by providing a descriptive summary of the digital response to COVID-19. The research finds that the digital response can be broken into four main categories: 1) tracking the spread of the virus (contact tracing); 2) controlling social behaviour during the outbreak (social behaviour monitoring); 3) information gathering and dissemination about the virus (one-way and two-way public communications); and 4) diagnosis and treatment (remote diagnostics and treatment). This paper describes the four response categories and provides examples of the digital technologies being developed and implemented for these purposes. This descriptive understanding provides a contextual foundation for subsequent research to analyse the opportunities and challenges associated with the development, implementation and uptake of digital interventions, alongside the development of analytical frameworks and guidance.

Download full-text PDF

Source

Publication Analysis

Top Keywords

digital response
12
response covid-19
12
digital
8
development implementation
8
digital interventions
8
social behaviour
8
covid-19 exploring
4
exploring digital
4
digital technology
4
technology collection
4

Similar Publications

Large-Scale Validation of the Feasibility of GPT-4 as a Proofreading Tool for Head CT Reports.

Radiology

January 2025

From the Departments of Biomedical Systems Informatics (S.K., Jaewoong Kim, C.H., D.Y.) and Neurology (Joonho Kim, J.Y.), Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea; Department of Radiology, Central Draft Physical Examination Office of Military Manpower Administration, Daegu, Republic of Korea (D.K.); Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science (H.J.S. Y.K., S.J.), and Center for Digital Health (H.J.S., D.Y.), Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea; Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea (S.H.L.); Departments of Radiology (M.H.) and Neurology (S.J.L.), Ajou University Hospital, Ajou University School of Medicine, Suwon, Republic of Korea; and Institute for Innovation in Digital Healthcare, Severance Hospital, Seoul, Republic of Korea (D.Y.).

Background The increasing workload of radiologists can lead to burnout and errors in radiology reports. Large language models, such as OpenAI's GPT-4, hold promise as error revision tools for radiology. Purpose To test the feasibility of GPT-4 use by determining its error detection, reasoning, and revision performance on head CT reports with varying error types and to validate its clinical utility by comparison with human readers.

View Article and Find Full Text PDF

A Unique Simulation Methodology for Practicing Clinical Decision Making.

J Med Educ Curric Dev

January 2025

Department of Health Policy and Management, Guilford Glazer Faculty of Business and Management, and School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.

Background: While bedside teaching offers invaluable clinical experience, its availability is limited. Challenges such as a shortage of clinical placements and qualified teaching physicians, coupled with increasing medical student numbers, exacerbate this issue. Simulation-based learning encompasses varied educational values and has the potential to serve as an important tool in medical students' education.

View Article and Find Full Text PDF

A biomarker framework for liver aging: the Aging Biomarker Consortium consensus statement.

Life Med

February 2024

Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China.

In human aging, liver aging per se not only increases susceptibility to liver diseases but also increases vulnerability of other organs given its central role in regulating metabolism. Total liver function tends to be well maintained in the healthy elderly, so liver aging is generally difficult to identify early. In response to this critical challenge, the Aging Biomarker Consortium of China has formulated an expert consensus on biomarkers of liver aging by synthesizing the latest scientific literature, comprising insights from both scientists and clinicians.

View Article and Find Full Text PDF

Dermal fibroblast-derived extracellular matrix (ECM) synergizes with keratinocytes in promoting re-epithelization and scarless healing of skin wounds: Towards optimized skin tissue engineering.

Bioact Mater

May 2025

Ministry of Education Key Laboratory of Diagnostic Medicine, and Department of Clinical Biochemistry, School of Clinical Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China.

Skin serves as the first-order protective barrier against the environment and any significant disruptions in skin integrity must be promptly restored. Despite significant advances in therapeutic strategies, effective management of large chronic skin wounds remains a clinical challenge. Dermal fibroblasts are the primary cell type responsible for remodeling the extracellular matrix (ECM) in wound healing.

View Article and Find Full Text PDF

This study aimed to examine the relationship between resilience and internet addictive behaviours, focusing on cross-cultural contexts involving tertiary education students in Ghana and Saudi Arabia. Using a cross-sectional survey design, data were collected from 738 students across selected universities in both countries. Structural equation modeling (SEM) techniques were employed to analyse the data.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!