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Estimating True Prevalence Through Questionnaire Data
  • Adam Mielke,
  • Lasse Engbo Christiansen
Adam Mielke
Danmarks Tekniske Universitet

Corresponding Author:[email protected]

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Lasse Engbo Christiansen
Statens Serum Institut
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A method using questionnaire data for estimating the level of under reporting during an outbreak is presented. It is based on rewriting the conditional probabilities for getting tested, being infected, and having symptoms. It shows very good agreement with seroprevalence studies of blood donors. On the one hand, this shows the strength of questionnaires when testing the general population during an outbreak as a means to find the true prevalence. On the other, applying it to covid-19 demonstrates that the asymptomatic cases likely make up around 50% of the infected.
03 Feb 2023Submitted to Journal of Medical Virology
03 Feb 2023Submission Checks Completed
03 Feb 2023Assigned to Editor
03 Feb 2023Review(s) Completed, Editorial Evaluation Pending
10 Feb 2023Reviewer(s) Assigned
27 Feb 2023Editorial Decision: Revise Major
27 May 20231st Revision Received
31 May 2023Submission Checks Completed
31 May 2023Assigned to Editor
31 May 2023Review(s) Completed, Editorial Evaluation Pending
01 Jun 2023Reviewer(s) Assigned
13 Jun 2023Editorial Decision: Accept