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The math behind social distancing: the rules that influence epidemic behavior
The math behind social distancing: the rules that influence epidemic behavior

様々な感染症の流行時に人々が取る行動を数学的に予測する（1200_800）.jpg

Researchers from the Institute of Industrial Science, The University of Tokyo, have developed a mathematical framework explaining how rational individuals adopt social-distancing behavior during epidemics to balance infection risk and cost. Their study identifies simple rules that govern rational distancing, providing key insights for policymakers. The findings identified a simple law by which humans naturally self-organize to reduce harm when infection costs and prevalence are high.

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KOBAYASHI Tetsuya J Professor
  • Quantitative Biology
  • Department of Informatics and Electronics
  • Center for Research on Engineering in Medicine and Biology (CREMeB)
  • Center for Dependable Socio-information Platform（DSiP）
  • Mathematical Informatics : Graduate School of Information Science and Technology
  • Electrical Engineering and Information Systems : Graduate School of Engineering