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_90
Snippet: . 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. To parameterize this model using seroprevalence, we made the modeling assumption that seropositive individuals are immune. Noting that this is only an assumption which at present requires in-depth research, we therefore placed seropositive individuals into the recovered group......
Document: . 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. To parameterize this model using seroprevalence, we made the modeling assumption that seropositive individuals are immune. Noting that this is only an assumption which at present requires in-depth research, we therefore placed seropositive individuals into the recovered group.
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