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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.
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 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 impact of climate change on cholera outbreaks, examining case studies from Mozambique, South Sudan, and Haiti to understand seasonal patterns and predict future trends.
Explore Norway's stochastic SEIR model for COVID-19, including data collection, mobility tracking, and decision-making processes in public health management.
Explore SARS-CoV-2 airborne transmission, its impact on COVID-19 spread, and effective protection strategies. Learn about aerosols, WHO's stance, and misconceptions about transmission routes.
Explore COVID-19 epidemiology, data challenges, and control strategies with Harvard expert Marc Lipsitch. Gain insights on nowcasting, modeling, and key open questions in pandemic management.
Explore COVID-19 data analysis on transmission, outcomes, interventions, and vaccination with Harvard researcher Xihong Lin in this insightful lecture from the Joint Mathematics Meetings.
Explore innovative methods for identifying potential Lyme disease cases through analysis of self-reported tweets, leveraging social media data for public health insights.
Explore natural experiments in healthcare, revealing hidden patterns that impact medical outcomes and patient care. Gain insights into the unexpected forces shaping health and medicine.
Explore historical pandemics and their impact on Iowa and globally. Learn about epidemiology, public health responses, and lessons for future outbreaks from an experienced state epidemiologist.
Explore mathematical models for disease transmission, focusing on reproduction numbers and final size relations in epidemiology.
Explore dynamic models for studying infectious diseases, focusing on influenza and SARS-CoV-2 transmission, meteorological factors, and forecasting techniques.
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