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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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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. |
format | Online Article Text |
id | pubmed-8790359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
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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