One of the most devastating diseases finally has a treatment that can slow its progression and transform lives, tearful doctors tell BBC.

We study the Susceptible-Infectious-Susceptible (SIS) model on arbitrary networks. The well-established pair approximation treats neighboring pairs of nodes exactly while making a mean field approxima...

Bulape, Democratic Republic of the Congo—Vaccination of frontline health workers and contacts of people infected with Ebola virus disease has begun in Bulape health zone in the Democratic Republic of ...

Opinion | To fight the war on science, higher education needs to reimagine the most important career milestone for faculty.

The hemagglutinin of human influenza virus evolves rapidly to erode neutralizing antibody immunity. Twice per year, new vaccine strains are selected with the goal of providing maximum protection again...

Laurent Hébert-Dufresne, Juniper Lovato, Giulio Burgio, James P. Gleeson, S. Redner, and P. L. Krapivsky Phys. Rev. Lett. 135, 087401 Models of how things spread often assume that transmission mechanisms are fixed over time. However, social contagions—the spread of ideas, beliefs, innovations—can lose or gain in momentum as they spread: ideas can get reinforced, beliefs strengthened, products refined. We study the impacts of such self-reinforcement mechanisms in cascade dynamics. We use different mathematical modeling techniques to capture the recursive, yet changing nature of the process. We find a critical regime with a range of power-law cascade size distributions with nonuniversal scaling exponents. This regime clashes with classic models, where criticality requires fine-tuning at a precise critical point. Self-reinforced cascades produce critical-like behavior over a wide range of parameters, which may help explain the ubiquity of power-law distributions in empirical social data. Read the full article at: link.aps.org

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Human activities increase zoonotic disease risk.