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🔗 Source: nature.com
📊 Size: 16.65 MB
👤 Author: Serina Chang
⬇️ Downloads: 54

Summary

Researchers developed a metapopulation SEIR model that integrates fine-grained, dynamic mobility networks to simulate the spread of SARS-CoV-2 in 10 US metropolitan areas, using mobile phone data to map hourly movements of 98 million people. The model accurately fits real case trajectories and predicts that a small minority of 'superspreader' points of interest account for most infections. It also correctly predicts higher infection rates among disadvantaged racial and socioeconomic groups due to differences in mobility, and suggests that restricting maximum occupancy at points of interest is more effective than uniformly reducing mobility. The model can inform more-effective and equitable policy responses to COVID-19.

Description

Researchers developed a metapopulation SEIR model that integrates fine-grained, dynamic mobility networks to simulate the spread of SARS-CoV-2 in 10 US...

Technical Information

  • File Format: PDF
  • File Size: 16.65 MB
  • Pages: 26
  • Language: EN
  • Author: Serina Chang
  • Total Downloads: 54
  • Last Updated: 23 hours ago

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