CCDD at Harvard Chan

Join our team! We are #hiring for a #hybrid Senior Program Coordinator role! This position blends high-level operational management with research program coordination. Click on the link below to learn more and apply today! 👉 careers.harvard.edu/job/coordinato…

We are #hiring! Are you a doctoral graduate passionate about using data and models to drive global health impact? Join us and @CCDD_HSPH as a Postdoctoral Research Fellow in HIV Epidemiology and Modeling! 👉 Learn more and apply today below! academicpositions.harvard.edu/postings/15825

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

New publication from CCDD’s @Lea_Cavalli_, @BillHanage, & collaborators: bit.ly/4rF0Rr3

Experimental mRNA flu vaccine is more effective than conventional flu shot, but causes more side effects. @BillHanage weighs in at @CIDRAP. Read it here at bit.ly/4o8qIo0

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

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

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

CCDD Authors cont’d: Melike Hazal Can, Hening Cui, Katherine Jia, Yunfei Li, Sylvia Ofori, Nicole Swartwood, Caroline Buckee, Jeff Imai-Eaton, Nicolas Menzies

Reporting on calibration methods in infectious disease models is inconsistent—our new PIPO framework & scoping review reveal gaps, offer guidance to boost transparency & reproducibility. From CCDD authors @emman_dankwa, @Lea_Cavalli_, @RuchitaBalasub1 @ bit.ly/4hPBw9g

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

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…

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

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

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

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

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

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

“I think of antibiotics as infrastructure” Yonatan Grad interviewed for the Harvard Gazette, 'Racing against antibiotic resistance'. Read it here at bit.ly/47PdOqv

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