Mobility strategies based on percolation theory to avoid disease spread: COVID-19

Human mobility is an important factor in the spatial propagation of infectious diseases. On the other hand, the control strategies based on mobility restrictions are generally unpopular and costly. These high social and economic costs make it very important to design global protocols where the cost is minimized and effects maximized. In this work, we calculate the percolation threshold of the spread in a network of a disease. In particular, we found the number of roads to close and regions to isolate in the Puebla State, Mexico, to avoid the global spread of COVID-19. Computational simulations taking into account the proposed strategy show a potential reduction of 94% of infections. This methodology can be used in broader and different areas to help in the design of health policies.

• Publication year

  2021

• Venue

  Revista Mexicana De Fisica

• Publication date

  2021-05-23

• Fields of study

  Biology, Physics, Engineering, Environmental Science, Medicine

• Identifiers
  DOI 10.31349/RevMexFis.68.011701arXiv 2105.10934
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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