File:Number and percentage of population at increased risk and high risk of severe COVID-19 by age and region; and distribution of underlying conditions by age and region according to a June 2020 study.jpg

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Captions

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From the study "Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study"

Summary

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Description
English: "Each row of graphs presents data for a UN geographical region. The first and second columns show the number of individuals and percentage share of the population, respectively, in each risk group by age, with those at high risk divided into females and males. The third column shows the distribution of the 11 underlying conditions by age, including multimorbidity as a separate category. *Excludes latent infections."
Date
Source https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(20)30264-3/fulltext
Author Authors of the study: Andrew Clark (PhD), Prof Mark Jit (PhD), Charlotte Warren-Gash (PhD), Prof Bruce Guthrie (PhD), Harry H X Wang (PhD), Prof Stewart W Mercer (PhD), et al.

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current17:50, 31 December 2020Thumbnail for version as of 17:50, 31 December 20204,175 × 5,965 (1.77 MB)Prototyperspective (talk | contribs)Uploaded a work by Authors of the study: Andrew Clark (PhD), Prof Mark Jit (PhD), Charlotte Warren-Gash (PhD), Prof Bruce Guthrie (PhD), Harry H X Wang (PhD), Prof Stewart W Mercer (PhD), et al. from https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(20)30264-3/fulltext with UploadWizard

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