Selected article for: "disease progression and sample size"

Author: Wolfgang Bock; Barbara Adamik; Marek Bawiec; Viktor Bezborodov; Marcin Bodych; Jan Pablo Burgard; Thomas Goetz; Tyll Krueger; Agata Migalska; Barbara Pabjan; Tomasz Ozanski; Ewaryst Rafajlowicz; Wojciech Rafajlowicz,; Ewa Skubalska-Rafajlowicz; Sara Ryfczynska; Ewa Szczurek; Piotr Szymanski
Title: Mitigation and herd immunity strategy for COVID-19 is likely to fail
  • Document date: 2020_3_30
  • ID: 48stbn6k_63
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.25.20043109 doi: medRxiv preprint can the be obtained by a proper weighted scaling. In detail we used the following formulas. We denote by h(k) the proportion of households of size k in our sample population, hence where p 0,k is the probability that a household member in a k− size household will not infect any other household member an.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.25.20043109 doi: medRxiv preprint can the be obtained by a proper weighted scaling. In detail we used the following formulas. We denote by h(k) the proportion of households of size k in our sample population, hence where p 0,k is the probability that a household member in a k− size household will not infect any other household member and c 0 E is the expected number of secondary cases generated by an infected individual outside it's household conditioned that the individual will have a disease progression which makes a hospital stay necessary.

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