Xihong Lin
Harvard University
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Publications 344
#1William E. Allen (Harvard University)H-Index: 14
#2Han Altae-Tran (MIT: Massachusetts Institute of Technology)H-Index: 2
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Despite social distancing and shelter-in-place policies, COVID-19 continues to spread in the United States. A lack of timely information about factors influencing COVID-19 spread and testing has hampered agile responses to the pandemic. We developed How We Feel, an extensible web and mobile application that aggregates self-reported survey responses, to fill gaps in the collection of COVID-19-related data. How We Feel collects longitudinal and geographically localized information on users9 health...
#1Eran Segal (Weizmann Institute of Science)H-Index: 71
#2Feng Zhang (Broad Institute)H-Index: 115
Last. Simon Anders (Heidelberg University)H-Index: 25
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We call upon the research community to standardize efforts to use daily self-reported data about COVID-19 symptoms in the response to the pandemic and to form a collaborative consortium to maximize global gain while protecting participant privacy.
4 CitationsSource
#1Xingjie Hao (HUST: Huazhong University of Science and Technology)H-Index: 2
#2Shanshan Cheng (HUST: Huazhong University of Science and Technology)
Last. Chaolong Wang (HUST: Huazhong University of Science and Technology)H-Index: 14
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Vigorous non-pharmaceutical interventions have largely suppressed the COVID-19 outbreak in Wuhan, China. We developed a susceptible-exposed-infectious-recovered model to study the transmission dynamics and evaluate the impact of interventions using 32,583 laboratory-confirmed cases from December 8, 2019 till March 8, 2020, accounting for time-varying ascertainment rates, transmission rates, and population movements. The effective reproductive number R0 dropped from 3.89 (95% credible interval: 3...
#1An Pan (HUST: Huazhong University of Science and Technology)H-Index: 54
#2L. Liu (HUST: Huazhong University of Science and Technology)H-Index: 7
Last. Xihong Lin (Harvard University)H-Index: 1
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Importance Coronavirus disease 2019 (COVID-19) has become a pandemic, and it is unknown whether a combination of public health interventions can improve control of the outbreak. Objective To evaluate the association of public health interventions with the epidemiological features of the COVID-19 outbreak in Wuhan by 5 periods according to key events and interventions. Design, Setting, and Participants In this cohort study, individual-level data on 32 583 laboratory-confirmed COVID-19 cases repor...
109 CitationsSource
#1Eran Segal (Weizmann Institute of Science)H-Index: 71
#2Feng Zhang (HHMI: Howard Hughes Medical Institute)H-Index: 115
Last. Faisal Alquaddoomi (ETH Zurich)H-Index: 2
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Information is the most potent protective weapon we have to combat a pandemic, at both the individual and global level. For individuals, information can help us make personal decisions and provide a sense of security. For the global community, information can inform policy decisions and offer critical insights into the epidemic of COVID-19 disease. Fully leveraging the power of information, however, requires large amounts of data and access to it. To achieve this, we are making steps to form an ...
2 CitationsSource
#1Chaolong Wang (HUST: Huazhong University of Science and Technology)H-Index: 2
#1Chaolong Wang (HUST: Huazhong University of Science and Technology)H-Index: 14
Last. An Pan (HUST: Huazhong University of Science and Technology)H-Index: 54
view all 12 authors...
BACKGROUND We described the epidemiological features of the coronavirus disease 2019 (Covid-19) outbreak, and evaluated the impact of non-pharmaceutical interventions on the epidemic in Wuhan, China. METHODS Individual-level data on 25,961 laboratory-confirmed Covid-19 cases reported through February 18, 2020 were extracted from the municipal Notifiable Disease Report System. Based on key events and interventions, we divided the epidemic into four periods: before January 11, January 11-22, Janua...
71 CitationsSource
#1Zhihui Wang (Harvard University)
#2Mulong Du (Nanjing Medical University)H-Index: 2
Last. Xihong Lin (Harvard University)H-Index: 55
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Abstract Background DNA methylation at the fifth position of cytosine (5mC) is a common epigenetic alteration affecting a range of cellular processes. In recent years, 5-hydroxymethylcytosine (5hmC), an oxidized form of 5mC, has risen broad interests as a potential biomarker for lung cancer diagnosis and survival. Methods We analyzed the epigenome-wide 5hmC profiles of paired lung tumor and adjacent normal tissues, using the TET-Assisted Bisulfite (TAB) array – Infinium MethylationEPIC BeadChip ...
#1Xu Gao (Columbia University)H-Index: 2
#1Xīn Gào (Columbia University)H-Index: 9
Last. Andrea Baccarelli (Columbia University)H-Index: 72
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#1Maud Fagny (INRA: Institut national de la recherche agronomique)H-Index: 1
#2John Platig (Harvard University)H-Index: 11
Last. John QuackenbushH-Index: 85
view all 5 authors...
Genome-wide association studies (GWASes) have identified many noncoding germline single-nucleotide polymorphisms (SNPs) that are associated with an increased risk of developing cancer. However, how these SNPs affect cancer risk is still largely unknown. We used a systems biology approach to analyse the regulatory role of cancer-risk SNPs in thirteen tissues. By using data from the Genotype-Tissue Expression (GTEx) project, we performed an expression quantitative trait locus (eQTL) analysis. We r...