Your browser doesn't support javascript.
Applications of digital technology in COVID-19 pandemic planning and response.
Whitelaw, Sera; Mamas, Mamas A; Topol, Eric; Van Spall, Harriette G C.
  • Whitelaw S; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
  • Mamas MA; Institute of Population Health, University of Manchester, Manchester, UK; Keele Cardiac Research Group, Keele University, Stoke-on-Trent, UK.
  • Topol E; Scripps Research Translational Institute, La Jolla, CA, USA.
  • Van Spall HGC; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada; Department of Medicine, McMaster University, Hamilton, ON, Canada; Population Health Research Institute, Hamilton, ON, Canada. Electronic address: harriette.vanspall@phri.ca.
Lancet Digit Health ; 2(8): e435-e440, 2020 08.
Article in English | MEDLINE | ID: covidwho-621868
ABSTRACT
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / Digital Technology / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Lancet Digit Health Year: 2020 Document Type: Article Affiliation country: S2589-7500(20)30142-4

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / Digital Technology / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Lancet Digit Health Year: 2020 Document Type: Article Affiliation country: S2589-7500(20)30142-4