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Learn Epidemiology, earn certificates with free online courses from Harvard, Stanford, MIT, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
Explore the 19th-century debate between contagionists and anticontagionists, examining their theories, key figures, and lasting impacts on public health policy and disease control.
Gain insights from a seasoned infectious disease expert's 40-year career fighting global epidemics. Learn about past outbreaks, future preparedness, and the importance of medical humanities in public health.
Gain insights into cancer statistics, epidemiology, and surveillance methods while learning to analyze and present cancer data for healthcare planning and reporting purposes.
Explore influenza mitigation strategies and pandemic forecasting, covering epidemiology concepts and network effects on disease spread. Learn from expert Dr. Lauren Ancel Meyers.
Exploring disease ecology, conservation strategies, and complex systems thinking to address global challenges in biodiversity, economics, and public health through interdisciplinary research and innovative approaches.
Explore epidemic modeling for COVID-19 with Princeton epidemiologist Andy Dobson. Learn about mathematical models, herd immunity, endemic infections, and the interplay between epidemiological and economic systems.
Exploring COVID-19's impact through complexity science, discussing citizen-based medicine, data challenges, group size recommendations, and out-of-equilibrium thinking to reveal hidden interconnections in modern life.
Exploring influenza forecasting challenges, from predicting seasonal epidemics to anticipating pandemics, using network models and diverse data sources to improve public health preparedness and vaccine development.
Explore the patterns and dynamics of epidemic spread, examining factors that influence their shape and progression through populations.
Insights from network epidemiologists on COVID-19's impact on scientific research, institutional interactions, and societal norms. Explores surprises, lasting effects, and future implications of the pandemic.
Explore vaccination strategies for COVID-19, including prioritization and dose-sparing, considering uncertainties in variants, human behavior, and global inequities through mathematical models.
Explore racial disparities in COVID-19 impact, examining structural factors and spatial segregation. Learn how to improve epidemic models by incorporating multi-scale spatial interactions and socio-economic factors.
Explore how universal TB vaccination, air pollution, and health expenditure impact COVID-19 survival rates across countries, with quantified probability changes by age and sex using information-theoretic methods.
Network epidemiology insights on COVID-19 spread, discussing contagion across scales, co-infections' impact, and evidence supporting containment measures. Explores complexities of pandemic modeling and intervention strategies.
Explore challenges in monitoring and preventing COVID-19 spread, from ethical concerns to academic research limitations, with Harvard epidemiologist Caroline Buckee.
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