Márton Karsai and his co-authors at the Rényi Institute and Queen Mary University are making significant contributions to our understanding of pandemics, human behavior, and social dynamics.
In their latest research on pandemic modeling, Márton and his colleagues developed a multi-dimensional model that goes beyond age to include income, education, employment status, and residence type—revealing how these factors influence the spread and impact of diseases. Their findings, published in Nature Communications and Science Advances, provide more accurate models for tracking disease outbreaks and highlight health outcome inequalities across social groups.
Márton also shared insights in a recent Hungarian-language podcast where he discusses how network science is used to study social phenomena, including behavior shifts during pandemics, migration patterns, and more. He also talks about MASZK 2.0, an important data-driven public health project. If you're a Hungarian speaker, be sure to tune in.
Interested in exploring more of Márton’s research and his work related to the UN’s Sustainable Development Goals (SDGs)? Check out his full research output, expertise, and projects here.