Archives: Symposia

  • 2024 IDM Annual Symposium

    Save the date! The 2024 IDM Annual Symposium will be held in Seattle October 1 and 2, 2024 in Seattle at the Bill & Melinda Gates Foundation Conference Center. The theme this year will be Global public health in a chaotic world: The role of modeling & data science. More information will be available soon.

  • 2016 IDM Annual Symposium

    The 2016 IDM Annual Symposium covered the modeling tool EMOD, malaria genetics and elimination, several vector-borne diseases, enteric diseases, and HIV.

  • 2018 IDM Annual Symposium

    The 2018 IDM Annual Symposium covered a wide range of topics. Multiple talks focused on small area estimation in public health and demography. Other talks discussed access, treatment, and all-cause mortality in child health. Pandemic preparedness, pandemics and big data, and seasonality of pandemic influenza talks were also given.

  • 2019 IDM Annual Symposium

    The 2019 IDM Annual Symposium covered malaria, tuberculosis, health seeking behavior, trends in maternal, newborn, and child health (MNCH), health economics, social and behavioral analysis, policy, social science, disease burden, and mortality reduction with Azithromycin were discussed.

  • 2022 IDM Annual Symposium

    The 2022 IDM Annual Symposium talks and discussions ranged from environmental and genomic surveillance, nutrition, under immunization and vaccine coverage, data collection and analysis, to the new StarSim modeling platform.

  • 2023 IDM Annual Symposium

    The 2023 IDM Annual Symposium was held May 22-24, 2023 in Seattle at the Bill & Melinda Gates Foundation Conference Center. This was our first three-day Symposium since the COVID-19 pandemic. The theme was Frontiers in Modeling & Data Science for Global Health and it shaped up to be an exciting three days! We had…

  • 2017 IDM Annual Symposium

    The 2017 IDM Annual Symposium included talks on model calibration, pneumonia, diarrhea and respiratory infections, measles, and malaria – including the potential of genomic epidemiology, surveillance, and ecology.