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

Bibliographic Data

ID22084122
AuthorsAugusto Garcia-Agundez (0000-0002-5440-1032, Technische Universität Darmstadt, corresponding author), Oluwasegun Ojo (0000-0001-9629-6990, IMDEA Networks), Harold A Hernández-Roig (0000-0002-4867-9716, Universidad Carlos III de Madrid), Carlos Baquero (0000-0002-3933-6850, University of Minho), Davide Frey (0000-0002-6730-5744, Institut de Recherche en Informatique et Systèmes Aléatoires), Chryssis Georgiou (0000-0003-4360-0260, Cyprus University of Technology), Mathieu Goessens (Centre d'Investigation Clinique de Nantes), Rosa E Lillo (0000-0003-0802-4691, Universidad Carlos III de Madrid), Raquel Menezes (0000-0001-5552-917X, University of Minho), Nicolas Nicolaou (0000-0001-7540-784X, Limassol General Hospital), Antonio Ortega (0000-0001-5403-0940, Viterbo University), Efstathios Stavrakis (0000-0002-9213-7690, Limassol General Hospital), Antonio Fernández Anta (0000-0001-6501-2377, IMDEA Networks)
Year2021
Volume9
Pages658544-658544
Publication date2021-04-09
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2021.658544
PMID33898383
OpenAlexW3159355295
LanguageEN
Citations received4
References cited12

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

2019-20 coronavirus outbreak · Econometrics · Economics · Estimation · Geography · Open data · Outbreak · Pandemic · Sociology · Statistics · World Wide Web · Computer Science · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Demography · Mathematics · Medicine · Virology

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