Preventing the Next Pandemic: Lecture 1

Stanislaw Ulam Memorial Lecture Series

Lauren Ancel Meyers, University of Texas at Austin & Santa Fe Institute

Lecture 1: Outbreak detection, prediction, and containment in human social networks

Meyers introduces the field of network epidemiology, which applies tools from complex systems science to uncover fundamental drivers of contagion and pressure points for effective control. Infectious diseases spread via encounters between people that can occur in any second of any day in any corner of the globe. By representing the essential structure of human connectivity in a mathematical framework, network epidemiology elucidates hotspots for transmission, early signs of an emerging threat, and ideal strategies for deploying vaccines, antiviral medications and social distancing interventions.

[robertamoretti]

Why doesn't this video have an automatic translation caption option? Could anyone change this? Thank you! =)

[davidmoran]

?? still true 1/21 that spread is way lower until symptomatic ??

[datmeme]

If R0 is the reproduction number of one infected individual in a susceptible population, how can you change that number by mitigation or inoculation because those measures render the population as no longer purely susceptible. Aren't you just modulating the infection rate? If every person in the susceptible population goes into isolation chambers so the virus can't spread to them, does the R0 suddenly become 0, or is R0 is like the Scoville scale which indicates how spicy a chili pepper is? Even if you mix that pepper with another ingredient that makes it taste less spicy, the pepper itself still has the same spiciness.