CCDD at Harvard Chan
@CCDD_HSPH
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Follow us on Bluesky @CCDD-HSPH.bsky.social Center for Communicable Disease Dynamics. Research on mathematical modeling of ID.
Boston, MA
Joined August 2012
Join us TODAY at 1PM ET for our ID Epi Seminar. Virtual presentation by @JustinLessler, Professor in the Department of Epidemiology at UNC, Chapel Hill. Register at for Zoom.
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THIS THURSDAY Feb 06: ID Epi Seminar Series featuring @JustinLessler, Professor in the Department of Epidemiology at UNC, Chapel Hill. Register at
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Join us TODAY at 1pm ET as we start off our annual ID Epi Seminar Series with Paul Zivich, Assist. Prof of Epidemiology at UNC, Chapel Hill. Register at for Zoom link.
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Causal Estimands for Analyses of Averted and Avertible Outcomes due to Infectious Disease Interventions. New publication by @mlipsitch and collaborators. Read it here at
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Our annual ID Epi Seminar Series returns THIS THURS, Jan 30 at 1pm ET featuring Paul Zivich, Assist. Prof of Epidemiology at UNC, Chapel Hill. Register at
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Drug resistant gonorrhea is a big public health problem. Resistance to ceftriaxone, the last approved antibiotic, is spreading globally. @Kirstin_Roster, Yonatan Grad, & colleagues ask: How many undetected cases are there likely to be? Read it here at
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New study sheds light on genetic discontinuity in bacteria. @BillHanage and team explore species boundaries via 210,129 genomes. Read more at
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Little to be gained through ‘gain-of-function’ research. Read more about CCDD's @mlipsitch's take on risky pathogen research.
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Prof. @mlipsitch CCDD Director, a key voice in @undarkmag article on gain-of-function research. His measured stance on risks vs benefits impacts ongoing #biosecurity debates. @HarvardEpi @HarvardChanSPH
(6/6) Read the full story and the newest publish of our Unleashed series here:
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New work from @BillHanage & others highlights potential of metagenomic sequencing paired with genomic neighbor typing to rapidly predict antibiotic susceptibility for UTIs. Read it here at
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Revolutionizing HIV surveillance in Malawi w/ data-driven innovations: the Kuzama pa Kalondo (KpK) project. Research teams @AFIDEP & others in partnership w/ @CCDD faculty Dr. Jeff Imai-Eaton @eatonjw @HarvardEpi @HarvardChanSPH
Traditional methods of surveillance, such as national household surveys with HIV testing, are still important, but they have limitations—especially in settings where the incidence of new infections is lower or falling, making it harder to track changes and emerging hotspots. Learn more about the Kuzama pa Kalondo (KPK) project which is leveraging routine health data, targeted surveillance, and advanced methodologies in developing an example, and case study for a modernised HIV surveillance strategy bespoke for settings seeking to sustain high coverage and effectiveness of HIV programmes and continued decline of new HIV infections:
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Last call for applications to participate in the 2025 Workshop to Increase Diversity in Mathematical Modeling & Public Health! Deadline: Sun, Nov. 24th. See website for eligibility criteria.
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New publication by @EatonJW and collaborators reveals that about half of excess mortality among people living with HIV in high-income regions is non-AIDS-related, highlighting the need to focus on comorbidities in care. Read more at
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Calling all undergrads! Now accepting applications for the Workshop to Increase Diversity in Mathematical Modeling & Public Health, March 3-4, 2025 in Boston. Deadline to apply: November 24th.
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RT @BillHanage: Glad to see this published! (and that’s not only because I’m quoted on about page 4!!!)
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New publication highlights the evolving dynamics of COVID-19 immunity and variant impact by @mlipsitch and collaborators from @UCBerkeleySPH and @KPSCALnews. Read more at
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@BillHanage highlights in a @WIRED article the importance of wastewater analysis for RSV: "Wastewater analysis gives you better situational awareness... because we have [historically] very much underdetected RSV cases." Read the full article at
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New paper by @chrisbboyer and @mlipsitch outlines how postexposure vaccination trials can be emulated using observational data. Read more at
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