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.
In: Frontiers in Public Health, 2021, 9
doi: 10.26083/tuprints-00019392
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Estimating the COVID-19 Prevalence in Spain With Indirect Reporting via Open Surveys |
| Language: | English |
| Date: | 30 August 2021 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2021 |
| Publisher: | Frontiers |
| Journal or Publication Title: | Frontiers in Public Health |
| Volume of the journal: | 9 |
| Collation: | 5 Seiten |
| DOI: | 10.26083/tuprints-00019392 |
| Corresponding Links: | |
| Origin: | Secondary publication via sponsored Golden Open Access |
| 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. |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-193925 |
| Additional Information: | Keywords: COVID-19, pandemic, serology, survey, indirect reporting, sensing |
| Classification DDC: | 600 Technology, medicine, applied sciences > 600 Technology |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications |
| Date Deposited: | 30 Aug 2021 12:20 |
| Last Modified: | 05 Dec 2024 12:31 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/19392 |
| PPN: | 485017237 |
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