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_41
Snippet: When we modeled the behavior of the infection rate and spread of COVID-19 over time without social distancing, we observed that the percentage of infected people in the 50 focal cities skyrocketed swiftly between days 83 to 172, reaching its peak close to day 126, with 22.9% of the population being infected (13,099,464 infected people). When we applied measures of social distancing in our SIR-Net model, we found significant and progressive change.....
Document: When we modeled the behavior of the infection rate and spread of COVID-19 over time without social distancing, we observed that the percentage of infected people in the 50 focal cities skyrocketed swiftly between days 83 to 172, reaching its peak close to day 126, with 22.9% of the population being infected (13,099,464 infected people). When we applied measures of social distancing in our SIR-Net model, we found significant and progressive changes in the number of . 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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