Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Cristina Menni and Thomas Varsavsky.
Cristina Menni
Connection Strength
0.679
Thomas Varsavsky
  1. Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app. Thorax. 2021 07; 76(7):723-725.
    View in: PubMed
    Score: 0.230
  2. Real-time tracking of self-reported symptoms to predict potential COVID-19. Nat Med. 2020 07; 26(7):1037-1040.
    View in: PubMed
    Score: 0.220
  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: 0.058
  4. Attributes and predictors of long COVID. Nat Med. 2021 04; 27(4):626-631.
    View in: PubMed
    Score: 0.058
  5. Cancer and Risk of COVID-19 Through a General Community Survey. Oncologist. 2021 01; 26(1).
    View in: PubMed
    Score: 0.056
  6. Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science. 2020 06 19; 368(6497):1362-1367.
    View in: PubMed
    Score: 0.055
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.