Connection

Marc Modat to Prospective Studies

This is a "connection" page, showing publications Marc Modat has written about Prospective Studies.
Connection Strength

0.085
  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: 0.038
  2. Illness duration and symptom profile in symptomatic UK school-aged children tested for SARS-CoV-2. Lancet Child Adolesc Health. 2021 10; 5(10):708-718.
    View in: PubMed
    Score: 0.010
  3. Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study. Lancet Infect Dis. 2021 07; 21(7):939-949.
    View in: PubMed
    Score: 0.009
  4. Attributes and predictors of long COVID. Nat Med. 2021 04; 27(4):626-631.
    View in: PubMed
    Score: 0.009
  5. Optimal symptom combinations to aid COVID-19 case identification: Analysis from a community-based, prospective, observational cohort. J Infect. 2021 03; 82(3):384-390.
    View in: PubMed
    Score: 0.009
  6. 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: 0.009
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.