TU Darmstadt / ULB / TUprints

Estimating the COVID-19 Prevalence in Spain With Indirect Reporting via Open Surveys

Garcia-Agundez, Augusto ; Ojo, Oluwasegun ; Hernández-Roig, Harold A. ; Baquero, Carlos ; Frey, Davide ; Georgiou, Chryssis ; Goessens, Mathieu ; Lillo, Rosa E. ; Menezes, Raquel ; Nicolaou, Nicolas ; Ortega, Antonio ; Stavrakis, Efstathios ; Fernandez Anta, Antonio (2021):
Estimating the COVID-19 Prevalence in Spain With Indirect Reporting via Open Surveys. (Publisher's Version)
In: Frontiers in Public Health, 9, Frontiers, e-ISSN 2296-2565,
DOI: 10.26083/tuprints-00019392,
[Article]

[img]
Preview
Text
fpubh-09-658544.pdf
Available under CC BY 4.0 International - Creative Commons, Attribution.

Download (697kB) | Preview
Item Type: Article
Origin: Secondary publication via sponsored Golden Open Access
Status: Publisher's Version
Title: Estimating the COVID-19 Prevalence in Spain With Indirect Reporting via Open Surveys
Language: English
Abstract:

During the initial phases of the COVID-19 pandemic, accurate tracking has proven unfeasible. Initial estimation methods pointed toward case numbers that were much higher than officially reported. In the CoronaSurveys project, we have been addressing this issue using open online surveys with indirect reporting. We compare our estimates with the results of a serology study for Spain, obtaining high correlations (R squared 0.89). In our view, these results strongly support the idea of using open surveys with indirect reporting as a method to broadly sense the progress of a pandemic.

Journal or Publication Title: Frontiers in Public Health
Journal volume: 9
Publisher: Frontiers
Collation: 5 Seiten
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
Date Deposited: 30 Aug 2021 12:20
Last Modified: 30 Aug 2021 12:20
DOI: 10.26083/tuprints-00019392
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-193925
Additional Information:

Keywords: COVID-19, pandemic, serology, survey, indirect reporting, sensing

URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/19392
Export:
Actions (login required)
View Item View Item