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Xihong Lin
@XihongLin
Professor of @HarvardBiostats & @HarvardStats, (Bio)statistics,Data Science,Genetics Genomics,Epidemiology,Health, Education,COVID19 analysis,Views are all mine
Boston, MA
hsph.harvard.edu/xihong-lin/
Joined August 2017
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  • user avatar
    Xihong Lin
    @XihongLin
    Mar 6, 2020
    Analysis results of 25,000+ lab-confirmed COVID-19 cases in Wuhan till Feb 18: epidemiological characteristics and non-pharmaceutical Intervention effects. The key results are summarized below and hope they are useful for the strategies in US and others
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    medrxiv.org
    Evolving Epidemiology and Impact of Non-pharmaceutical Interventions on the Outbreak of Coronavirus...
    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....
  • user avatar
    Xihong Lin
    @XihongLin
    Jul 8, 2020
    The Harvard & MIT lawsuit seeks a temporary restraining order & preliminary and permanent injunctive relief to bar the U.S. DHS & ICE from enforcing federal guidelines barring international students attending colleges & universities offering only online courses from staying in US
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    The Harvard Crimson
    @thecrimson
    Jul 8, 2020
    Harvard and the Massachusetts Institute of Technology filed a lawsuit in District Court in Boston Wednesday morning against the Department of Homeland Security and U.S. Immigration and Customs Enforcement. ow.ly/QY2z50AsJX1
  • user avatar
    Xihong Lin
    @XihongLin
    Apr 17, 2020
    Very pleased to report that our JAMA paper on public health interventions with the epidemiology of the COVID-19 outbreak in Wuhan based on analysis of 32,000+ lab-confirmed COVID-19 cases in Wuhan till Mar 8 appeared on April 10. See below for a summary.
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    Public Health Interventions and Epidemiology of the COVID-19 Outbreak in Wuhan, China
    From jamanetwork.com
  • user avatar
    Xihong Lin
    @XihongLin
    Jul 17, 2020
    Our paper “Reconstruction of full transmission dynamics of COVID-19 in Wuhan” is online in Nature. We showed two key features of COVID: High transmissibility (R0=3.5) & high covertness(up to 87% undetected cases), estimated the chance of resurgence(1/n)
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    Reconstruction of the full transmission dynamics of COVID-19 in Wuhan
    From nature.com
  • user avatar
    Xihong Lin
    @XihongLin
    Mar 6, 2020
    Replying to @XihongLin
    1. In the absence of intervention (before 1/23), the effective reproductive number R=3.8>>1, and dropped to R=0.3 after the massive intervention on Feb 1(centralized quarantine and treatment of all confirmed and suspected cases). This intervention worked.
  • user avatar
    Xihong Lin
    @XihongLin
    Mar 7, 2020
    Replying to @XihongLin
    Thanks to the hard work of all my co-authors at Tongji SPH in Wuhan on finishing this paper in a short time window. The gained knowledge benefits US and other countries in our strategy development. It was a great honor to work with them
  • user avatar
    Xihong Lin
    @XihongLin
    Mar 9, 2021
    An amazing story of a giant Arianna Rosenbluth, the woman who co-developed and first implemented the Metropolis algorithm, the basis of MCMC. She is the 5th female PhD student graduated from Harvard. She died of COVID (1/n). #InternationalWomensDay
    Dr. Arianna Wright Rosenbluth in 2013. She helped create what has become one of the most important algorithms of all time. 
    Arianna Rosenbluth Dies at 93; Pioneering Figure in Data Science (Published 2021)
    From nytimes.com
  • user avatar
    Xihong Lin
    @XihongLin
    Mar 6, 2020
    Replying to @XihongLin
    4. About 60% of infected cases were estimated to be un-ascertained, i.e,. they scattered in the community and could infect others. This means increasing the testing capacity for early diagnosis is critically important.
  • user avatar
    Xihong Lin
    @XihongLin
    Mar 6, 2020
    Replying to @XihongLin
    3. Family transmission is common. Quarantine-at-home between 1/23-2/1 helped and did not work effectively (R=1.35>1), as family members and close contacts may be infected and might affect the neighborhood communities, e.g., going shopping. Centralized quarantine is critical.
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    Xihong Lin
    @XihongLin
    Oct 20, 2019
    I am very honored to be inducted to the National Academy of Medicine, and look forward to contributing to NAM.
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    National Academy of Medicine
    @theNAMedicine
    Oct 19, 2019
    Xihong Lin @XihongLin of @HarvardBiostats & @HarvardChanSPH has been inducted to the NAM! Congratulations! #NAMmtg
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    Xihong Lin
    @XihongLin
    Mar 9, 2022
    I am very flattered by this honor. Thanks go to many, especially Marvin Zelen for serving as a wonderful role model for many of us. He has shaped the field of biostatistics, and has also influenced and helped many statisticians, especially junior researchers. Be like Marvin.
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    Harvard Biostatistics
    @HarvardBiostats
    Mar 8, 2022
    Dr. @XihongLin will receive the prestigious 2022 Marvin Zelen Leadership Award in Statistical Science! A world-renowned biostatistician, her transformative ideas, innovative vision & tireless leadership have moved the field forward. Career highlights here: hsph.me/zelenaward
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    Xihong Lin
    @XihongLin
    Mar 6, 2020
    Replying to @XihongLin
    5. Healthcare workers and elderly people are at a much higher risk of being infected. The risk of severity increases with age, and elderly people are at a much higher risk of becoming severe (RR=3 for 60-79 and RR=5 for 80+).
  • user avatar
    Xihong Lin
    @XihongLin
    May 3, 2023
    I am very honored, grateful and humbled to be elected to @theNASciences yesterday. I wish to express my heartfelt gratitude to many colleagues who have so generously supported me over years and my students, postdocs and collaborators whose talent and creativity have inspired me
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    Susan Murphy lab
    @SusanMurphylab1
    May 2, 2023
    Thrilled to hear that my colleague @XihongLin was just elected to @theNASciences!! Congratulations, Xihong! This honor is so very well deserved!
    49K
  • user avatar
    Xihong Lin
    @XihongLin
    Mar 6, 2020
    Replying to @XihongLin
    7. Children's infection risk is much lower than adults, but the risk increased with time.