L
Long H. Nguyen
Researcher at Harvard University
Publications - 160
Citations - 13262
Long H. Nguyen is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 34, co-authored 120 publications receiving 6822 citations. Previous affiliations of Long H. Nguyen include University of California, Los Angeles & Stanford University.
Papers
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Racial and ethnic differences in COVID-19 vaccine hesitancy and uptake
Long H. Nguyen,Amit Joshi,David A. Drew,Jordi Merino,Jordi Merino,Wenjie Ma,Chun-Han Lo,Sohee Kwon,Kai Wang,Mark S. Graham,Lorenzo Polidori,Cristina Menni,Carole H. Sudre,Adjoa Anyane-Yeboa,Christina M Astley,Christina M Astley,Erica T. Warner,Christina Hu,Somesh Selvachandran,Richard Davies,Denis Nash,Paul W. Franks,Jonathan Wolf,Sebastien Ourselin,Claire J. Steves,Tim D. Spector,Andrew T. Chan +26 more
TL;DR: In this paper, the authors performed a cohort study among U.S. and U.K. participants in the smartphone-based COVID Symptom Study (March 24, 2020-February 16, 2021) and used logistic regression to estimate odds ratios (ORs) of vaccine hesitancy and receipt.
Posted ContentDOI
Symptom clusters in Covid19: A potential clinical prediction tool from the COVID Symptom study app
Carole H. Sudre,Karla A. Lee,Mary Ni Lochlainn,Thomas Varsavsky,Benjamin J. Murray,Mark Graham,Cristina Menni,Marc Modat,Ruth C. E. Bowyer,Long H. Nguyen,David A. Drew,Amit Joshi,Wenjie Ma,Chuan-Guo Guo,Chun-Han Lo,Sajaysurya Ganesh,Abubakar Buwe,Joan Capdevila Pujol,Julien Lavigne du Cadet,Alessia Visconti,Maxim B. Freidin,Julia S. El-Sayed Moustafa,Mario Falchi,Richard Davies,Maria F. Gomez,Tove Fall,M. Jorge Cardoso,Jonathan Wolf,Paul W. Franks,Paul W. Franks,Andrew T. Chan,Tim D. Spector,Claire J. Steves,Sebastien Ourselin +33 more
TL;DR: Unsupervised time series clustering over symptom presentation was performed on data collected from a training dataset of completed cases enlisted early from the COVID Symptom Study Smartphone application, yielding six distinct symptom presentations.
Journal ArticleDOI
Sedentary Behaviors, TV Viewing Time, and Risk of Young-Onset Colorectal Cancer.
Long H. Nguyen,Po Hong Liu,Xiaobin Zheng,NaNa Keum,Xiaoyu Zong,Xiao Li,Kana Wu,Charles S. Fuchs,Shuji Ogino,Kimmie Ng,Walter C. Willett,Andrew T. Chan,Edward Giovannucci,Yin Cao +13 more
TL;DR: Extended sedentary TV viewing time, a surrogate for a more inactive lifestyle, was associated with increased risk of young-onset CRC, particularly of the rectum, after adjusting for putative risk factors, including obesity and physical activity.
Journal ArticleDOI
Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app.
Carole H. Sudre,Carole H. Sudre,Karla A. Lee,Mary Ni Lochlainn,Thomas Varsavsky,Benjamin J. Murray,Mark S. Graham,Cristina Menni,Marc Modat,Ruth C. E. Bowyer,Long H. Nguyen,David A. Drew,Amit Joshi,Wenjie Ma,Chuan Guo Guo,Chun-Han Lo,Sajaysurya Ganesh,Abubakar Buwe,Joan Capdevila Pujol,Julien Lavigne du Cadet,Alessia Visconti,Maxim B. Freidin,Julia S. El-Sayed Moustafa,Mario Falchi,Richard Davies,Maria F. Gomez,Tove Fall,M. Jorge Cardoso,Jonathan Wolf,Paul W. Franks,Paul W. Franks,Andrew T. Chan,Tim D. Spector,Claire J. Steves,Sebastien Ourselin +34 more
TL;DR: In this article, an unsupervised time series clustering over symptom presentation was performed on data collected from a training dataset of completed cases enlisted early from the COVID Symptom Study Smartphone application, yielding six distinct symptom presentations.
Journal ArticleDOI
Self-reported COVID-19 vaccine hesitancy and uptake among participants from different racial and ethnic groups in the United States and United Kingdom
Long H. Nguyen,Amit Joshi,David A. Drew,Jordi Merino,Wenjie Ma,Chun-Han Lo,Sohee Kwon,Kai Wang,Mark Graham,Lorenzo Polidori,Cristina Menni,Carole H. Sudre,Adjoa Anyane-Yeboa,Christina M Astley,Erica T. Warner,Christina Hu,Somesh Selvachandran,Richard J. Davies,Denis Nash,Paul W. Franks,Jonathan Wolf,Sebastien Ourselin,Claire J. Steves,Tim D. Spector,Andrew T. Chan +24 more
TL;DR: In this paper , the authors performed a cohort study among U.S. and U.K. participants who volunteered to take part in the smartphone-based COVID Symptom Study and used logistic regression to estimate odds ratios of vaccine hesitancy and uptake.