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Center for Communicable Disease Dynamics
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Publications

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Real-time forecasting of the COVID-19 outbreak in Chinese provinces: Machine learning approach using novel digital data and estimates from mechanistic models.

Author(s): Poirier C, Liu D, Clemente L, Ding X, Chinazzi M, Vespignani A, Santillana M|Journal: J Med Internet Res|PMID: 32730217| July 2020
The inherent difficulty to identify and monitor emerging outbreaks caused by novel pathogens can lead to their rapid spread; and…

Interaction Patterns of Men Who Have Sex With Men on a Geosocial Networking Mobile App in Seven United States Metropolitan Areas: Observational Study.

Author(s): Abuelezam NN, Reshef YA, Novak D, Grad YH, Seage Iii GR, Mayer K, Lipsitch M|Journal: J Med Internet Res|PMID: 31516124| September 2019
The structure of the sexual networks and partnership characteristics of young black men who have sex with men (MSM) may…

Center for Communicable Disease Dynamics on Twitter

  • RT @CCDD_HSPH: TODAY AT @ 1PM ET: Join Dr. Nicholas Grassly for our ID Epi Spring Seminar Series. He will discuss Testing times: modelling…
  • RT @harvardiop: On March 6, 2020, the IOP hosted the final in-person Forum before the COVID-19 shutdown. One year later, we reconvene the…
  • RT @CCDD_HSPH: TODAY @ 1PM ET: Join @marciacastrorj for our ID Epi Spring Seminar Series. Dr. Castro will be discussing COVID-19 in Brazil…
  • New paper from our PhD student @AccorsiEmma plus @XuetingQ, @mlipsitch and others in @CCDD_HSPH explores how common… https://t.co/K7gjnnuuY3
  • RT @JimAxelrod: @adhikab @maciekboni @mlipsitch We just taped an interview with @mlipsitch a year to the day from him freaking you out. Wh…
  • RT @maciekboni: #epitwitter, on the anniversary of @CBSEveningNews @mlipsitch letting >5M Americans know that a million people could die a…
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