Connection

Marc Modat to Mobile Applications

Back to Details
This is a "connection" page, showing publications Marc Modat has written about Mobile Applications.
Marc Modat
Connection Strength
0.357
Mobile Applications
  1. Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study. Lancet Digit Health. 2021 09; 3(9):e587-e598.
    View in: PubMed
    Score: 0.073
  2. Symptoms and syndromes associated with SARS-CoV-2 infection and severity in pregnant women from two community cohorts. Sci Rep. 2021 03 25; 11(1):6928.
    View in: PubMed
    Score: 0.072
  3. Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app. Sci Adv. 2021 03; 7(12).
    View in: PubMed
    Score: 0.071
  4. Current smoking and COVID-19 risk: results from a population symptom app in over 2.4 million people. Thorax. 2021 07; 76(7):714-722.
    View in: PubMed
    Score: 0.070
  5. Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study. Lancet Public Health. 2021 01; 6(1):e21-e29.
    View in: PubMed
    Score: 0.070
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.