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DIGITAL.CSIC
Other ORP type . 2020 . Peer-reviewed
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Covid-19: la malinterpretación de los datos de la pandemia daña la confianza del público

Authors: Saez, Marc; Figueiras Guzmán, Adolfo; Alústiza Galarza, Ainhoa; Ruiz Cantero, Alberto; Medeiros de Figueiredo, Alexandre; Sánchez-Plà, Álex; Forte, Anabel; +27 Authors

Covid-19: la malinterpretación de los datos de la pandemia daña la confianza del público

Abstract

Dos cartas publicadas en The Lancet y The Lancet Public Health en los últimos meses defienden la necesidad de evaluar de forma independiente la respuesta española ante la covid-19. Estamos de acuerdo, pero nos gustaría complementarlas con tres puntos que nos acercan a la ciencia abierta. Nos referimos a la confusión terminológica, la calidad de los datos y su disponibilidad. Según las cartas, una de las razones por las que España se ha visto más afectada por la pandemia es la poca confianza que hay en el asesoramiento científico. Creemos que gran parte de esta desconfianza está ocasionada por una importante confusión terminológica. Esta se produce en prácticamente todos los medios de comunicación (con notables excepciones), y conduce a una malinterpretación de los datos y, como consecuencia, a una pérdida de confianza en los sistemas de información sanitaria, en la investigación y la epidemiología.

Consejo Superior de Investigaciones Científicas aporta financiación como institución fundacional de The Conversation ES. Universitat de València, Universitat de Barcelona, UOC - Universitat Oberta de Catalunya, Universidad de Granada, Universitat de Vic - Universitat Central de Catalunya , Universitat Politècnica de Catalunya · BarcelonaTech, Universitat Internacional de Catalunya y Universidade de Santiago de Compostela aportan financiación como miembros de The Conversation ES.

Peer reviewed

Country
Spain
Related Organizations
Keywords

Pandemia, COVID-19

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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