Work

Estimating seroprevalence of SARS-CoV-2 antibodies using three self-reported symptoms: Development of a prediction model based on data from Ischgl, Austria

Year: 2020

Type: preprint

Abstract: This is a preprint and data storage for an Austrian project. The title of the project is: Estimating seroprevalence of SARS-CoV-2 antibodies using three self-reported symptoms: Development of a prediction model based on data from Ischgl, Austria On this page, you can find the preprint, figures, tables and data to the project.

Source: OSF Preprints (OSF Preprints)

Authors: Ludwig Knabl, Barbara Falkensammer, Jens Lehmann, Magdalena Sacher, Bernhard Holzner, Barbara Sperner-Unterweger, Cornelia Ower, Wegene Borena, Johannes M Giesinger, Gerhard Rumpold, Dorothee von Laer

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7133166526

Cites: 10

Cited by:

Related to: 10