Applications of digital technology in Covid-19 pandemic planning and response
Bibliographic Data
| ID | 23323416 |
|---|---|
| Authors | Sera Whitelaw (Impact), Mamas A Mamas (0000-0001-9241-8890, University of Manchester), Eric J Topol (0000-0002-1478-4729, Scripps Research Institute), Eric Topol, Harriette G C Van Spall (0000-0002-8370-4569, Population Health Research Institute, corresponding author) |
| Year | 2020 |
| Volume | 2 |
| Issue | 8 |
| Pages | e435-e440 |
| Publication date | 2020-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Lancet Digital Health (JOURNAL) |
| Journal identifiers | ISSN: 2589-7500 • E-ISSN: 2589-7500 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/s2589-7500(20)30142-4 |
| PMID | 32835201 |
| OpenAlex | W3037795158 |
| Language | EN |
| Citations received | 133 |
| References cited | 10 |
With high transmissibility and no effective vaccine or therapy, COVID-19 is now a global pandemic. Government-coordinated efforts across the globe have focused on containment and mitigation, with varying degrees of success. Countries that have maintained low COVID-19 per-capita mortality rates appear to share strategies that include early surveillance, testing, contact tracing, and strict quarantine. The scale of coordination and data management required for effective implementation of these strategies has-in most successful countries-relied on adopting digital technology and integrating it into policy and health care. This Viewpoint provides a framework for the application of digital technologies in pandemic management and response, highlighting ways in which successful countries have adopted these technologies for pandemic planning, surveillance, testing, contact tracing, quarantine, and health care.
Business · Contact tracing · Coronavirus disease 2019 (COVID-19) · Economic growth · Economics · Geography · Government (linguistics) · Pandemic · Quarantine · Scale (ratio) · COVID-19 diagnosis using AI · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Medicine
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| Unique citing works | 133 |
|---|---|
| Citations per year | 22,17 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 108 |