Selected article for: "International license and SIR net model"
Author: Wesley Dattilo; Alcides Castro e Silva; Roger Guevara; Ian MacGregor-Fors; Servio Pontes Ribeiro
Title: COVID-19 most vulnerable Mexican cities lack the public health infrastructure to face the pandemic: a new temporally-explicit model
  • Document date: 2020_4_14
    • ID: ghh16h43_27
    Snippet: Based on the results of the SIR-Net model, we assessed the vulnerability of each city to COVID-19. We considered three parameters: (i) the average in the percentage of population affected over the 600 simulated days, (ii) the mean of the daily change in the proportion of the population infected (estimated as: (RIt+1 -RIt)/(RIt+1 + RIt), where RI represents the ratio of infected people at a given time t), and (iii) the population size scaled by th.....
    Document: Based on the results of the SIR-Net model, we assessed the vulnerability of each city to COVID-19. We considered three parameters: (i) the average in the percentage of population affected over the 600 simulated days, (ii) the mean of the daily change in the proportion of the population infected (estimated as: (RIt+1 -RIt)/(RIt+1 + RIt), where RI represents the ratio of infected people at a given time t), and (iii) the population size scaled by the natural logarithm, using data from . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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