Selected article for: "initial condition and SIR 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_39
    Snippet: Using our Net-SIR model, we show that most Mexican cities have a high vulnerability to COVID-19 (Vulnerabilityindex: 0.86 ± SD 0.02) ( Figure 1A) . We also found such vulnerability to be positively correlated with airport closeness centrality (rho = 0.86; p <0.001; Figure 1B Figure 2B ) for every 10,000 inhabitants. Most importantly, we found that all cities would overload their intensive care system before 100 days after the initial condition o.....
    Document: Using our Net-SIR model, we show that most Mexican cities have a high vulnerability to COVID-19 (Vulnerabilityindex: 0.86 ± SD 0.02) ( Figure 1A) . We also found such vulnerability to be positively correlated with airport closeness centrality (rho = 0.86; p <0.001; Figure 1B Figure 2B ) for every 10,000 inhabitants. Most importantly, we found that all cities would overload their intensive care system before 100 days after the initial condition of our model (66.4 ± SD 25.7 days; Figure 3 ).

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