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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.
  • Garcia-Agundez A; Multimedia Communications Lab, etit, Technische Universität Darmstadt, Darmstadt, Germany.
  • Ojo O; IMDEA Networks Institute, Madrid, Spain.
  • Hernández-Roig HA; Department of Statistics, University Carlos III de Madrid, Madrid, Spain.
  • Baquero C; Departamento de Informática, University of Minho, Braga, Portugal.
  • Frey D; University of Rennes, Institut National de Recherche en Informatique et en Automatique, Centre National de la Recherche Scientifique, Institut de Recherche en Informatique et Systèmes Aléatoires, Rennes, France.
  • Georgiou C; Department of Computer Science, University of Cyprus, Nicosia, Cyprus.
  • Goessens M; Independent Researcher, Nantes, France.
  • Lillo RE; University Carlos III de Madrid - Santander Big Data Institute, Madrid, Spain.
  • Menezes R; Departamento de Matemática, University of Minho, Braga, Portugal.
  • Nicolaou N; Algolysis Ltd, Limassol, Cyprus.
  • Ortega A; Department of Electrical and Computer Engineering, USC Viterbi School of Engineering, Los Angeles, CA, United States.
  • Stavrakis E; Algolysis Ltd, Limassol, Cyprus.
  • Fernandez Anta A; IMDEA Networks Institute, Madrid, Spain.
Front Public Health ; 9: 658544, 2021.
Article in English | MEDLINE | ID: covidwho-1201511
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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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disease Notification / Pandemics / COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Europa Language: English Journal: Front Public Health Year: 2021 Document Type: Article Affiliation country: Fpubh.2021.658544

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disease Notification / Pandemics / COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Europa Language: English Journal: Front Public Health Year: 2021 Document Type: Article Affiliation country: Fpubh.2021.658544