Selected article for: "high risk and population movement"

Author: Pedro S. Peixoto; Diego R. Marcondes; Cláudia M Peixoto; Lucas Queiroz; Rafael Gouveia; Afonso Delgado; Sérgio M Oliva
Title: Potential dissemination of epidemics based on Brazilian mobile geolocation data. Part I: Population dynamics and future spreading of infection in the states of Sao Paulo and Rio de Janeiro during the pandemic of COVID-19.
  • Document date: 2020_4_11
  • ID: ioig3ldz_61
    Snippet: In this work, we used anonymized mobile phone data to detect population movement between cities. This framework is very useful for a variety of applications. Here we focused in establishing a risk map for the evolution of the COVID-19 within the states of São Paulo and Rio de Janeiro, and noted that the high risk regions are mainly in the metropolitan region of the states' capital cities, although there are some high risk cities in the countrysi.....
    Document: In this work, we used anonymized mobile phone data to detect population movement between cities. This framework is very useful for a variety of applications. Here we focused in establishing a risk map for the evolution of the COVID-19 within the states of São Paulo and Rio de Janeiro, and noted that the high risk regions are mainly in the metropolitan region of the states' capital cities, although there are some high risk cities in the countryside, specially in São Paulo. This was done by coupling the predicted mobility patterns with a standard SI model via a metapopulation model.

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