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Epidemic dreams: dreaming about health during the COVID-19 pandemic

The continuity hypothesis of dreams suggests that the content of dreams is continuous with the dreamer's waking experiences. Given the unprecedented nature of the experiences during COVID-19, we studied the continuity hypothesis in the context of the pandemic. We implemented a deep-learning alg...

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Autores principales: Šćepanović, Sanja, Aiello, Luca Maria, Barrett, Deirdre, Quercia, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790359/
https://www.ncbi.nlm.nih.gov/pubmed/35116145
http://dx.doi.org/10.1098/rsos.211080
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author Šćepanović, Sanja
Aiello, Luca Maria
Barrett, Deirdre
Quercia, Daniele
author_facet Šćepanović, Sanja
Aiello, Luca Maria
Barrett, Deirdre
Quercia, Daniele
author_sort Šćepanović, Sanja
collection PubMed
description The continuity hypothesis of dreams suggests that the content of dreams is continuous with the dreamer's waking experiences. Given the unprecedented nature of the experiences during COVID-19, we studied the continuity hypothesis in the context of the pandemic. We implemented a deep-learning algorithm that can extract mentions of medical conditions from text and applied it to two datasets collected during the pandemic: 2888 dream reports (dreaming life experiences), and 57 milion tweets (waking life experiences) mentioning the pandemic. The health expressions common to both sets were typical COVID-19 symptoms (e.g. cough, fever and anxiety), suggesting that dreams reflected people's real-world experiences. The health expressions that distinguished the two sets reflected differences in thought processes: expressions in waking life reflected a linear and logical thought process and, as such, described realistic symptoms or related disorders (e.g. nasal pain, SARS, H1N1); those in dreaming life reflected a thought process closer to the visual and emotional spheres and, as such, described either conditions unrelated to the virus (e.g. maggots, deformities, snake bites), or conditions of surreal nature (e.g. teeth falling out, body crumbling into sand). Our results confirm that dream reports represent an understudied yet valuable source of people's health experiences in the real world.
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spelling pubmed-87903592022-02-02 Epidemic dreams: dreaming about health during the COVID-19 pandemic Šćepanović, Sanja Aiello, Luca Maria Barrett, Deirdre Quercia, Daniele R Soc Open Sci Computer Science and Artificial Intelligence The continuity hypothesis of dreams suggests that the content of dreams is continuous with the dreamer's waking experiences. Given the unprecedented nature of the experiences during COVID-19, we studied the continuity hypothesis in the context of the pandemic. We implemented a deep-learning algorithm that can extract mentions of medical conditions from text and applied it to two datasets collected during the pandemic: 2888 dream reports (dreaming life experiences), and 57 milion tweets (waking life experiences) mentioning the pandemic. The health expressions common to both sets were typical COVID-19 symptoms (e.g. cough, fever and anxiety), suggesting that dreams reflected people's real-world experiences. The health expressions that distinguished the two sets reflected differences in thought processes: expressions in waking life reflected a linear and logical thought process and, as such, described realistic symptoms or related disorders (e.g. nasal pain, SARS, H1N1); those in dreaming life reflected a thought process closer to the visual and emotional spheres and, as such, described either conditions unrelated to the virus (e.g. maggots, deformities, snake bites), or conditions of surreal nature (e.g. teeth falling out, body crumbling into sand). Our results confirm that dream reports represent an understudied yet valuable source of people's health experiences in the real world. The Royal Society 2022-01-26 /pmc/articles/PMC8790359/ /pubmed/35116145 http://dx.doi.org/10.1098/rsos.211080 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Computer Science and Artificial Intelligence
Šćepanović, Sanja
Aiello, Luca Maria
Barrett, Deirdre
Quercia, Daniele
Epidemic dreams: dreaming about health during the COVID-19 pandemic
title Epidemic dreams: dreaming about health during the COVID-19 pandemic
title_full Epidemic dreams: dreaming about health during the COVID-19 pandemic
title_fullStr Epidemic dreams: dreaming about health during the COVID-19 pandemic
title_full_unstemmed Epidemic dreams: dreaming about health during the COVID-19 pandemic
title_short Epidemic dreams: dreaming about health during the COVID-19 pandemic
title_sort epidemic dreams: dreaming about health during the covid-19 pandemic
topic Computer Science and Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790359/
https://www.ncbi.nlm.nih.gov/pubmed/35116145
http://dx.doi.org/10.1098/rsos.211080
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