Tim Spector

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Professor Timothy David Spector, better known as Tim D. Spector, is Head of Department, Department of Twin Research and Genetic Epidemiology at King's College London, UK.[1] Professor Spector is co-founder of ZOE, a personal nutritional technology company, and author of a number of popular science books.[2]

Notable studies[edit | edit source]

COVID Symptom Study[edit | edit source]

  • 2020, Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study[3] - (Full text) - published as part of the COronavirus Pandemic Epidemiology (COPE) Consortium
  • 2020, Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App[4] - (Full text)

Others studies[edit | edit source]

  • 2019, A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals - (Full text)

Books[edit | edit source]

  • Spoon-Fed: Why almost everything we’ve been told about food is wrong (2020)
  • The Diet Myth: The Real Science Behind What We Eat (2016)
  • Identically Different: Why You Can Change Your Genes (2013)

Talks, interviews and videos[edit | edit source]

Online presence[edit | edit source]

See also[edit | edit source]

Learn more[edit | edit source]

References[edit | edit source]

  1. King's College London. "Professor Tim Spector". www.kcl.ac.uk. Retrieved Oct 14, 2020. 
  2. Vella, Heidi (Sep 22, 2020). "Citizen science: the way to beat COVID and change medicine?". Raconteur. Retrieved Oct 14, 2020. 
  3. Nguyen, Long H.; Drew, David A.; Graham, Mark S.; Joshi, Amit D.; Guo, Chuan-Guo; Ma, Wenjie; Mehta, Raaj S.; Warner, Erica T.; Sikavi, Daniel R. (Sep 1, 2020). "Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study". The Lancet Public Health. 5 (9): e475–e483. doi:10.1016/S2468-2667(20)30164-X. ISSN 2468-2667. PMC 7491202Freely accessible. PMID 32745512. 
  4. Sudre, Carole H.; Murray, Benjamin; Varsavsky, Thomas; Graham, Mark S.; Penfold, Rose S.; Bowyer, Ruth C.; Pujol, Joan Capdevila; Klaser, Kerstin; Antonelli, Michela (Oct 19, 2020). "Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App". medRxiv: 2020.10.19.20214494. doi:10.1101/2020.10.19.20214494. 

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From MEpedia, a crowd-sourced encyclopedia of ME and CFS science and history.