Author: Daniel B Larremore; Bailey K Fosdick; Kate M Bubar; Sam Zhang; Stephen M Kissler; C. Jessica E. Metcalf; Caroline Buckee; Yonatan Grad
Title: Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys Document date: 2020_4_20
ID: c4cs14ja_124
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint Table S2 : Parameter values used in models. This table is divided into two sections. The top section corresponds to the parameters of the single-population SEIR model. The bottom section corresponds to the parameters used in the age-structured SEIR model. Contact matrices C ij used in this manuscript were, in particular, those corresponding to the United States of America.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint Table S2 : Parameter values used in models. This table is divided into two sections. The top section corresponds to the parameters of the single-population SEIR model. The bottom section corresponds to the parameters used in the age-structured SEIR model. Contact matrices C ij used in this manuscript were, in particular, those corresponding to the United States of America and India. Values for y i , the probability that an infection is clinical for an age-i individual, were generated by using three control points for young, middle and old age, then interpolating between them with a cosine-smoothing function, as described in (10). Equations for models can be found in Supplementary Text. Test kit sensitivity and specificity values are provided in Supplementary Table S1. S18 . 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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