Evidence map›Paper›PMID 33898383›Full record

ArticleFrontiers in public health2021

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

Augusto Garcia-Agundez, Oluwasegun Ojo, Harold A Hernández-Roig, Carlos Baquero, Davide Frey, Chryssis Georgiou, Mathieu Goessens, Rosa E Lillo, Raquel Menezes, Nicolas Nicolaou and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Estimating the infection burden of COVID-19 in Malaysia.PLoS neglected tropical diseases · 2022
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Augusto Garcia-AgundezMultimedia Communications Lab, etit, Technische Universität Darmstadt, Darmstadt, Germany.
Oluwasegun OjoIMDEA Networks Institute, Madrid, Spain.
Harold A Hernández-RoigDepartment of Statistics, University Carlos III de Madrid, Madrid, Spain.
Carlos BaqueroDepartamento de Informática, University of Minho, Braga, Portugal.
Davide FreyUniversity 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.
Chryssis GeorgiouDepartment of Computer Science, University of Cyprus, Nicosia, Cyprus.
Mathieu GoessensIndependent Researcher, Nantes, France.
Rosa E LilloUniversity Carlos III de Madrid - Santander Big Data Institute, Madrid, Spain.
Raquel MenezesDepartamento de Matemática, University of Minho, Braga, Portugal.
Nicolas NicolaouAlgolysis Ltd, Limassol, Cyprus.
Antonio OrtegaDepartment of Electrical and Computer Engineering, USC Viterbi School of Engineering, Los Angeles, CA, United States.
Efstathios StavrakisAlgolysis Ltd, Limassol, Cyprus.
Antonio Fernandez AntaIMDEA Networks Institute, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

PandemicsCOVID-19Disease NotificationHumansPrevalenceSeroepidemiologic StudiesSpainSurveys and QuestionnairesCOVID-19indirect reportingpandemicsensingserologysurvey

Identifiers

PMID33898383
PMCPMC8062708

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.