Emory Center for Infectious Disease Modeling and Analytics Training Hub: An Insight Net Innovator leading research in infectious disease modeling and analytics.
For our second Shedding Hub feature this week, we highlight the shedding-hub Python package that allows you to access and analyze Shedding Hub data directly in Python! Learn more at https://t.co/KUbh9a03GY
This week we highlight the Shedding Hub, an open science initiative led by CIDMATH investigator Dr. Yuke Wang to centralize biomarker shedding data and models into one easy, publicly accessible resource. 1st: the Shedding Hub Dashboard - explore it now! https://t.co/i1kjzAtcdZ
Interested in seeing the most up to date contact matrix and more preliminary data like group contact size, participant demographics, and reported symptoms? Check out the ENGAGED dashboard on https://t.co/s2CnWaL2a0 and make sure to follow us for future updates!
Last year, we introduced the ENGAGED study, a collaboration between our Social Contacts team and KPGA. Now we are excited to share a sneak peek of the preliminary results! Here we share a contact matrix, showing the rate of contacts for participants.
CIDMATH Director Ben Lopman shares his experience with rotavirus as a parent and professional in @statnews , underscoring the impact of changes to the U.S. childhood vaccination schedule: https://t.co/bF3MkV5FvC
"There’s no new evidence suggesting any safety or efficacy concerns," says Dr. Ben Lopman, Director of CIDMATH. "This shift reflects a political decision that runs counter to the views of vaccine scientists and public health experts."
#vaccines#publichealth
Expert Opinion: What Changes to the Childhood Immunization Schedule Mean for Americans’ Health | Emory University - Rollins School of Public Health https://t.co/pCaFEPOILB
Authors include CIDMATH investigators Kristin Nelson, Samuel Jenness and Ben Lopman, staff Machi Shiiba, doctoral students Sara S. Kim and Pragati Prasad, and collaborators
Code and data are accessible here: https://t.co/UYoLjBrOcD
🔔 Check out new paper "Characterizing social behavior relevant for infectious disease transmission in four low- and middle-income countries, 2021-2023" from CIDMATH investigators, staff, doctoral students, and collaborators.
Read here: https://t.co/sqppOTHN20
📣 Paper Spotlight: "Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models" by Wyatt Madden, Wei Jin, Ben Lopman, Andreas Züfle, Benjamin Dalziel, C. Jessica E. Metcalf, Bryan T. Grenfell, and Max Lau
📄 "Target trial emulation without matching: a more efficient approach for evaluating vaccine effectiveness using observational data" by Emily Wu, Elizabeth Rogawski McQuade, Mats Stensrud, Razieh Nabi, & David Benkeser
🔎Full paper free on arXiv: https://t.co/ozjYkZt5ob
At CIDMATH, innovation is not only about developing new methods, techniques, and platforms in modeling & analytics, but ensuring #PublicHealth professionals are equipped with the skills needed to tackle infectious disease challenges.
CIDMATH investigator Dr. Max Lau is pioneering #machinelearning approaches to forecast disease trends and inform public health planning. Swipe to learn more!
CIDMATH’s partnership with @KPGeorgia facilitates the use of existing medical records for this study. Learn more on https://t.co/Y1vjTS3I6e! (2/2) #vaccines#RSV
CIDMATH Pillar Highlight: Vaccine Evaluation research! The team, led by Dr. Elizabeth Rogawski McQuade, is developing new methods to strengthen assessments of vaccine performance. (1/2)