Transboundary Problems in Infectious Diseases
Explore global infectious disease challenges, behavioral impacts on epidemics, and strategic approaches to healthcare. Learn about international case studies and innovative solutions in disease control.
Andy Dobson on Epidemic Modeling for COVID-19
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.
COVID-19 and Complex Time in Biology and Economics with David Krakauer
Explore complex systems insights on COVID-19, including timing's role in biology and economics, network dynamics, and societal adaptation to rapid change.
Complex Time- Aging & Adaptation in Infectious Diseases II
Explore aging and adaptation in infectious diseases with SFI experts Carlson and Pascual, discussing key areas and insights from their research on complex time and disease dynamics.
The Science of Pandemics - C4 Public Lecture
Explore global pandemics, influenza threats, and the role of mathematical modeling in disease surveillance and control through advanced computing techniques.
Preventing the Next Pandemic
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.
Pathogen Diversity from an Ecological Perspective
Explore pathogen diversity through an ecological lens, examining the complex interactions between microorganisms and their environments in disease dynamics and evolution.
Emerging Diseases, Deadly Lessons - Preventing Future Epidemics
Insights from recent epidemics on preventing future outbreaks, exploring ecological, social, political, and economic factors in disease spread and their implications for global health security.
Tracking and Curbing the Next Pandemic - Future Directions in Infectious Disease Research
Explore modern plagues, interdisciplinary efforts, and innovative methods for predicting and curbing pandemics through network analysis, animal studies, and advanced computational techniques.
Reverse Engineering Complexity - Dynamics, Architecture, and Robustness in Complex Systems
Explore robustness, tradeoffs, and feedback in complex systems through computational models. Discover applications in earthquakes, wildfires, biomaterials, infectious diseases, and more, emphasizing dynamics, architecture, and adaptation.
On the Shape of Epidemics
Explore the patterns and dynamics of epidemic spread, examining factors that influence their shape and progression through populations.
Effect of Universal TB Vaccination and Other Factors on Probability of Patient Death from COVID-19
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.
Embracing Complexity for Systemic Interventions - Transmission Series Episode 5
Explore how embracing complexity in systems can lead to better interventions in various fields, from epidemiology to conservation, and improve decision-making under uncertainty.
Science in the Time of COVID - Lessons from the Pandemic
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.
Vaccination Strategies - Prioritization, Dose Sparing, and Decisions Under Uncertainty and Inequity
Explore vaccination strategies for COVID-19, including prioritization and dose-sparing, considering uncertainties in variants, human behavior, and global inequities through mathematical models.
Testing Our Way Out of COVID-19: A Bumpy but Possible Path Forward
Explore how frequent, widespread testing with lower sensitivity could dramatically reduce COVID-19 spread and potentially end the pandemic while reopening the economy.
Epidemic Spread Through Segregated Spaces - Racial Disparities in COVID-19
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.
Halting the Spread of COVID-19 - Network Epidemiology and Containment Measures
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.
Improving COVID-19 Surveillance and Response
Explore challenges in monitoring and preventing COVID-19 spread, from ethical concerns to academic research limitations, with Harvard epidemiologist Caroline Buckee.
Modeling Disease Transmission and Interventions - Sam Scarpino Interview
Explore epidemiological modeling, interventions, and complex interactions of biological and behavioral contagions in the context of the Covid-19 pandemic with expert Sam Scarpino.
After the First Wave - Strategies for Public Health and Economic Recovery Post-COVID-19
Experts discuss strategies for public health and economic recovery post-COVID-19, exploring testing, modeling, interventions, and balancing epidemiological and economic concerns for future pandemic waves.