Daniel T Citron (@citron_daniel) profile picture

Applied Mathematics for Epidemiology | Infectious Disease Modeling | HIV cost effectiveness analysis | Digital Data for Health | Malaria Elimination

NY, NY
Joined June 2018
Photo by Daniel T Citron (@citron_daniel)Photo by Daniel T Citron (@citron_daniel)Photo by Daniel T Citron (@citron_daniel)Photo by Daniel T Citron (@citron_daniel)Photo by Daniel T Citron (@citron_daniel)Photo by Daniel T Citron (@citron_daniel)Photo by Daniel T Citron (@citron_daniel)Photo by Daniel T Citron (@citron_daniel)Photo by Daniel T Citron (@citron_daniel)Photo by Daniel T Citron (@citron_daniel)
Out today, in PNAS - “Comparing metapopulation dynamics of infectious diseases under different models of human movement” pnas.org/content/118/18/e200…
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Do any of my friends in the epidemiology or mathematical modeling fields have a Bluesky invitation they would be willing to share? Get me out of here.
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For anyone working in science who starts to lose sight of why we fell in love with it - highly recommend attending a K12 science fair. Photos are from the @NYASciences SiR Student Expo
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Our paper on co-location maps is out now! Using de-identified aggregated Meta user locations data to estimate how often people from two different locations come into contact with one another.
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It was an unbelievable opportunity collaborating with @TheRealShankar and the rest of the Data for Good research team at Meta
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Thinking this week about these two papers by @NoahHaber and colleagues about longitudinal metrics for measuring the HIV cascade of care. Interested in exploring how cross-sectional data may overestimate the 90-90-90 metrics due to censoring out individuals who are not retained.
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With the longitudinal approach, it becomes easier to account for individuals who have been lost to care due to mortality or migration. The result is that the cross-sectional approach may overestimate the success of the cascade of care.
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Important and sobering work presented today by Karol Serwin at the Global Epidemonology of HIV session at #CROI2023. Studying the phylogeography of HIV as it has been transported from Ukraine to Poland due to the war and forced migration.
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With @AnnaBershteyn’s team at #CROI2023, celebrating Masabho Milali’s poster presentation on the cost-effectiveness of the dual-prevention pill, which combines PrEP and oral contraception
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Thrilled for the opportunity to attend #CROI2023 - first time at an HIV conference, excited to learn as much as I can about the field. Also excited to be back in Seattle.
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Urban health is a growing priority for @WHO. Today, on #WorldCitiesDay, together with @UNHABITAT we launched a global framework for responding to #malaria in urban areas. who.int/publications/i/item/…
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Learning about using motor traffic data to assess mobility changes and estimate COVID disease averted during stay at home periods in spring 2020, from Suyanpeng Zhang #SMDM22
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Heading to Seattle for my first #SMDM22! Excited for the opportunity to learn more about this field.
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Something I forgot to mention last week at #MIDAS2022 - my team with @AnnaBershteyn at NYU will be hiring soon! Looking for data analysts, postdocs, and staff researchers. We have projects planned related to modeling HIV and COVID. Message if you know anyone who is interested!
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Me, to my colleague: “I looked back at my abstract, and realized that the work we ended up having to do turned out to be very different.” Veteran researcher, overhearing me: “Welcome to the real world.”
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My first MIDAS Network meeting was supposed to happen in early 2020. Now, finally, I am here in person to attend #MIDAS2022. Thrilled to be here to present on digital contact tracing tools and measuring behavioral changes among users.
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