Selected article for: "age distribution and clinical fraction"
Author: Nicholas G Davies; Petra Klepac; Yang Liu; Kiesha Prem; Mark Jit; Rosalind M Eggo
Title: Age-dependent effects in the transmission and control of COVID-19 epidemics
  • Document date: 2020_3_27
    • ID: 8f76vhyz_8
    Snippet: (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03. 24.20043018 doi: medRxiv preprint / and Bulawayo (Zimbabwe, low median age) (Fig 3b) , using measured contact matrices for each country. There were many more clinical cases for COVID-19 than influenza in all cities, with relatively more cases in children in the influenza-like scenario, and more cases in adults in simulated COVID-19 epidemics ( .....
    Document: (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03. 24.20043018 doi: medRxiv preprint / and Bulawayo (Zimbabwe, low median age) (Fig 3b) , using measured contact matrices for each country. There were many more clinical cases for COVID-19 than influenza in all cities, with relatively more cases in children in the influenza-like scenario, and more cases in adults in simulated COVID-19 epidemics ( Fig 3c) . More clinical cases were seen in older adults in Milan compared with the other cities, and a markedly younger age distribution in clinical cases in Bulawayo. Using the same age-dependent clinical fraction drawn from high and upper-middle income countries in low and lower-middle income countries (LMIC) may underestimate clinical cases due to the presence of comorbidities.

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