M
Marc Lipsitch
Researcher at Harvard University
Publications - 548
Citations - 50959
Marc Lipsitch is an academic researcher from Harvard University. The author has contributed to research in topics: Population & Vaccination. The author has an hindex of 104, co-authored 516 publications receiving 39897 citations. Previous affiliations of Marc Lipsitch include Centers for Disease Control and Prevention & Emory University.
Papers
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Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period.
TL;DR: Using existing data to build a deterministic model of multiyear interactions between existing coronaviruses, with a focus on the United States, is used to project the potential epidemic dynamics and pressures on critical care capacity over the next 5 years and projected that recurrent wintertime outbreaks of SARS-CoV-2 will probably occur after the initial, most severe pandemic wave.
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BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting.
Noa Dagan,Noam Barda,Noam Barda,Noam Barda,Eldad Kepten,Oren Miron,Oren Miron,Shay Perchik,Mark A. Katz,Mark A. Katz,Mark A. Katz,Miguel A. Hernán,Marc Lipsitch,Ben Y. Reis,Ran D. Balicer,Ran D. Balicer +15 more
TL;DR: This study in a nationwide mass vaccination setting suggests that the BNT162b2 mRNA vaccine is effective for a wide range of Covid-19–related outcomes, a finding consistent with that of the randomized trial.
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Transmission Dynamics and Control of Severe Acute Respiratory Syndrome
Marc Lipsitch,Ted Cohen,Ben S. Cooper,James M. Robins,Stefan Ma,Lyn James,Gowri Gopalakrishna,Suok Kai Chew,Chorh Chuan Tan,Matthew H. Samore,David N. Fisman,Megan Murray +11 more
TL;DR: It is estimated that a single infectious case of SARS will infect about three secondary cases in a population that has not yet instituted control measures, and public-health efforts to reduce transmission are expected to have a substantial impact on reducing the size of the epidemic.
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Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China.
Joseph T. Wu,Kathy Leung,Mary Bushman,Nishant Kishore,Rene Niehus,Pablo Martinez de Salazar,Benjamin J. Cowling,Marc Lipsitch,Gabriel M. Leung +8 more
TL;DR: An estimation of the clinical severity of COVID-19, based on the data available so far, can help to inform the public health response during the ongoing SARS-CoV-2 pandemic.
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How generation intervals shape the relationship between growth rates and reproductive numbers.
Jacco Wallinga,Marc Lipsitch +1 more
TL;DR: It is shown that by taking the generation interval distribution equal to the observed distribution, it is possible to obtain an empirical estimate of the reproductive number and obtain an upper bound to the range of possible values that the reproductiveNumber may attain for a given growth rate.