MMED was hosted in Muizenberg, South Africa in June 2019. See what the participants did here!
During World Immunization Week April 24-30, tune in to watch any or all of these 4 webinars featuring world experts on the current state and future of vaccines.
MIDAS hosted its first webinar featuring COVID-19 research by Dr. Erin Mordecai.
The Seattle region was the original epicenter and first to identify and respond to the COVID-19 pandemic. Learn how Washington’s life science community partnered with public health officials to lower the region’s pandemic curve.
Short course at the University of Washington that provides an introduction to stochastic network models for infectious disease transmission dynamics, with a focus on empirically based modeling of HIV transmission. Online option now available!
Learn more about the novel coronavirus via a new online course developed by the London School of Hygiene & Tropical Medicine
Network Modeling for Epidemics (NME) is a 5-day short course at the University of Washington that provides an introduction to stochastic network models for infectious disease transmission dynamics, with a focus on empirically based modeling of HIV transmission. It is a ‘’hands-on’’ course, using the EpiModel software package in R (www.epimodel.org).
Episummer@columbia provides opportunities to gain foundational knowledge and applied skills for advancing population health research. The short courses are offered in both classroom and online learning formats.
F4SG 2021: The 2nd International Workshop on Forecasting for Social Good follows the success of F4SG 2018 and the International Journal of Forecasting’s special issue on Forecasting for Social Good.
The Eighth Annual Conference to Increase Diversity in Mathematical Modeling and Public Health is organized by the MIDAS Network Coordination Center and the Center for Communicable Disease Dynamics (CCDD) at the Harvard T. H. Chan School of Public Health as an opportunity for undergraduate students from underrepresented groups to learn more about infectious disease modeling.