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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 SIR Model used to predict COVID-19 spread with Ben Sparks. Learn about epidemic modeling through clear explanations and live coding, gaining insights into the mathematics behind pandemic forecasting.
Explore the latest insights on MIS-C epidemiology and treatment from global experts. Learn about current trends, clinical guidance, and management strategies for this COVID-19-related condition in pediatric patients.
Explore spatial epidemiology's origins and modern applications, from John Snow's cholera study to predicting disease outbreaks and understanding global health disparities.
Explore the 1918 flu's impact on World War II, its deadly nature, and the scientific quest to find an intact virus specimen. Uncover the flu's global spread, vaccine controversies, and modern pandemic echoes.
Explore convalescent plasma treatment for COVID-19, covering evidence, program components, operational challenges, and future directions in this expert-led seminar.
Explore COVID-19 epidemiology with Prof. Sunetra Gupta, covering data, life history strategies, vulnerability, risk, antibody tests, lockdown impacts, and future indoor activities.
Explore critically hybrid epidemics, combining ineffective spreading mechanisms to create significant outbreaks. Examine case studies of Conficker and HIV, discussing implications for epidemic control and future research.
Experts discuss COVID-19 endemicity, examining data-driven approaches to future outbreaks. Topics include variants, immunity, global perspectives, and policy challenges in transitioning to an endemic state.
Explore how human behavior and social factors impact infectious disease spread, covering topics like social inequality, anti-vaccine movements, and psychological influences on public health.
Expert panel explores COVID-19 vaccination strategies, immunity dynamics, and challenges in modeling the pandemic's long-term effects, offering insights for public health decision-making.
Exploring ethical considerations in epidemic modeling, focusing on terminology, assumptions, and interpretation to avoid stigmatization and promote equitable public health responses.
Explore SARS-CoV-2 seroprevalence studies, their impact on immunity modeling, and key considerations in data analysis and interpretation.
Explore epidemic dynamics through toy SIR models, visualizing how various factors influence disease spread and containment strategies.
Insightful exploration of using data and modern tools to detect and prevent disease outbreaks before they become widespread, offering a proactive approach to global health challenges.
Explore density dependence in disease dynamics across systems, examining spatial patterns, host behavior, and environmental factors influencing pathogen transmission and population health.
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