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2nd International Summit on Public Health and Preventive Medicine, a premier event focusing on the latest developments in the field of public health and preventive medicine which is going to be held in Prague, Czech Republic during May 27-29, 2024.
The Scientist and the Storyteller Workshop is a two-day intensive training using a hands-on, workshop format that will equip scientists and journalists with concepts, tools, and strategies to successfully communicate scientific findings to the public. This two-day intensive workshop will help bridge the gap between scientific research findings and the distribution of important health information
The theme of the 9th Annual Maternal and Child Health (MCH) Symposium is "Impacts of Extreme Heat on Maternal and Child Health: From Awareness to Action." The symposium will explore the research and evidence on the impacts of extreme heat on maternal and child health and discuss ways families, communities, and governments can take action.
The Climate Change and Health Boot Camp is a three-day intensive course that will prepare clinicians, scientists, and other members of the research, health, and public health communities for informed, effective engagement with climate change issues in their professional lives. This three-day intensive boot camp combines content on the mechanisms and health impacts of climate
Want to explore interest areas and career options to find your best fit among our graduate degree programs and departments? Learn about opportunities for study at the University of Pittsburgh School of Public Health during this summer event. Advanced registration is required: https://pitt.zoom.us/meeting/register/tJMvcu2hqDojE9LUXaE4EYi525OhfjReJsgH#/registration
The Statistical Analysis with Missing Data Workshop is a two-day intensive workshop of seminars and hands-on analytical sessions to provide an overview of concepts, methods, and applications for statistical analysis of health studies with missing data. This two-day intensive workshop integrates the principle concepts and methods commonly used in statistical analysis with missing data and
