CCDD at Harvard Chan

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CCDD at Harvard Chan

CCDD at Harvard Chan

@CCDD_HSPH

Follow us on Bluesky @CCDD-HSPH.bsky.social Center for Communicable Disease Dynamics. Research on mathematical modeling of ID.

Boston, MA Katılım Ağustos 2012
742 Takip Edilen9.2K Takipçiler
CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
Over 15 years @ Boston Children’s, late‑onset & very‑late‑onset GBS infections in infants were frequently severe, often resulting in ICU admission & meningitis, yet no genomic predictors of severity were identified, & the 2 presentations were clinically & genetically similar
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
New study shows that shifts in SARS‑CoV‑2 Ct value distributions can help nowcast epidemic trends, revealing both strong potential and key real‑world limitations for Ct‑based surveillance. From CCDD alumni TY Lim & James Hay and faculty Yonatan Grad at bit.ly/4o37EaN
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
A modeling study led by @PantBinod_Math, a CCDD-affiliated postdoc in MIGHTE LAB, Northeastern University, shows fungal biocontrol could reduce malaria-carrying mosquitoes by up to 90%—full story at Northeastern Global News bit.ly/3LDJma1
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
New method for approximate Bayesian inference in extended latent Gaussian models uses adaptive Gauss-Hermite quadrature—boosts accuracy & speed. Shown on district-level epidemic estimates in Malawi. With CCDD’s Jeff Imai-Eaton. Read more: bit.ly/4oLH7QA
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
CCDD Authors cont’d: Melike Hazal Can, Hening Cui, Katherine Jia, Yunfei Li, Sylvia Ofori, Nicole Swartwood, Caroline Buckee, Jeff Imai-Eaton, Nicolas Menzies
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
New paper from Mozambique Instituto Nacional de Saúde and collaborators including CCDD’s Jeff Imai-Eaton on findings from the INSIDA 2021 household survey—highlighting heterogeneous epidemic burden across districts and high burden in coastal port cities. bit.ly/47QFBpg
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
This highlights the urgent need for better intimate partner violence screening and contraceptive access. This manuscript was based on the HOPE prospective cohort study of women living with HIV in the US. phacsstudy.org/our-research/h…
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
New study led by Salome Kuchukhidze, Minttu Rönn & Jeff Imai-Eaton finds that over 1 in 4 US women living with HIV reported past-year intimate partner violence, with pregnant women at a particularly high risk. bit.ly/47YX2F2
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
Antimicrobial treatments affect both patients and those around them—these indirect effects matter. In our new paper, Juan Gago, Chris Boyer, and @mlipsitch present a causal framework to estimate them. Read more at bit.ly/4oRc99e
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
Eva Rumpler and @mlipsitch identify eight considerations that seem important to consider when including equity in future vaccine allocation models. Read them here at bit.ly/4nz8ZqC
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
In August, the U.S. Department of Health and Human Services (HHS) cancelled nearly $500 million in contracts that funded mRNA vaccine development. @BillHanage weighs in on this at bit.ly/4pNJmUA
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
Mauricio Santillana @MauSantillana & his team at Northeastern leveraged machine learning as a "team member" to predict dengue fever outbreaks three months in advance with 80% accuracy—turning years of manual data crunching into overnight results. Read it @ bit.ly/4n2wkk9
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
New modeling from Nick Menzies, Jeff Imai-Eaton, @ted_h_cohen, and collaborators, shows that health aid cuts could lead to over 1.5 million more childhood TB deaths in LMICs by 2034. Read more at bit.ly/47HsoR2
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
“I think of antibiotics as infrastructure” Yonatan Grad interviewed for the Harvard Gazette, 'Racing against antibiotic resistance'. Read it here at bit.ly/47PdOqv
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CCDD at Harvard Chan
CCDD at Harvard Chan@CCDD_HSPH·
Mauricio Santillana @MauSantillana & his team at Northeastern have developed a machine learning method that predicts dengue fever outbreaks with 80% accuracy, equipping public health officials with a powerful new tool to prepare for surges. Read it here @ bit.ly/4my3DLM
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