Thomas Varsavsky - Concepedia

Author

Thomas Varsavsky

King's College London ORCID

Also Known As

Thomas Varsavsky, Varsavsky, T, Varsavsky, Thomas

Publications

8.3K

Citations

H-Index

Concepts

All Affiliations

King's College London Massachusetts General Hospital Harvard University University College London ZOE (United Kingdom)

About

Thomas Varsavsky is an author at King's College London specializing in medicine, epidemiology, and covid-19.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	11	11	3.5K
2	Public Health	9	9	3.5K
3	Engineering	3	3	77
4	Natural Sciences	1	1	45
5	Social Sciences	1	1	12

Thomas Varsavsky

Publications

8.2K

Citations

H-Index

Page 1

	Year	Citations
Attributes and predictors of long COVID Carole H. Sudre, Benjamin Murray, Thomas Varsavsky, Nature Medicine Long CovidVirus EpidemiologyCovid-19 PandemicVirologyCovid-19 Epidemiology	2021	2.5K
Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study Long H. Nguyen, David A. Drew, Mark S. Graham, The Lancet Public Health	2020	2.3K
Real-time tracking of self-reported symptoms to predict potential COVID-19 Cristina Menni, Ana M. Valdes, Maxim B. Freidin, Nature Medicine	2020	1.5K
Risk of COVID-19 among frontline healthcare workers and the general community: a prospective cohort study Long H. Nguyen, David A. Drew, Amit D. Joshi,	2020	494
Rapid implementation of mobile technology for real-time epidemiology of COVID-19 David A. Drew, Long H. Nguyen, Claire J. Steves, Science Virus EpidemiologyUnited KingdomCovid-19 EpidemiologyCovid-19Digital Health	2020	403
Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App Carole H. Sudre, Benjamin Murray, Thomas Varsavsky, Systemic DiseasesDisease ProgressionVirus EpidemiologyImmunodeficienciesDiagnosis	2020	258
Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app Carole H. Sudre, Karla A. Lee, Mary Ní Lochlainn, Science Advances	2021	175
Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study Thomas Varsavsky, Mark S. Graham, Liane S. Canas, The Lancet Public Health	2020	94
Symptom clusters in Covid19: A potential clinical prediction tool from the COVID Symptom study app Carole H. Sudre, Karla A. Lee, Mary Ní Lochlainn, PrognosisDiagnosisCovid-19 EpidemiologyDisease ClassificationCovid-19	2020	87
Cancer and Risk of COVID-19 Through a General Community Survey Karla A. Lee, Wenjie Ma, Daniel Sikavi, The Oncologist Virus EpidemiologyImmunodeficienciesEpidemiology Of CancerPopulation Health SciencesGeneral Community Survey	2020	78

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