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A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter(®) in the United States: A Natural Language Processing Approach
The COVID-19 pandemic has changed our lifestyles, habits, and daily routine. Some of the impacts of COVID-19 have been widely reported already. However, many effects of the COVID-19 pandemic are still to be discovered. The main objective of this study was to assess the changes in the frequency of re...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123305/ https://www.ncbi.nlm.nih.gov/pubmed/33922924 http://dx.doi.org/10.3390/ijerph18094543 |
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author | Fiok, Krzysztof Karwowski, Waldemar Gutierrez, Edgar Saeidi, Maham Aljuaid, Awad M. Davahli, Mohammad Reza Taiar, Redha Marek, Tadeusz Sawyer, Ben D. |
author_facet | Fiok, Krzysztof Karwowski, Waldemar Gutierrez, Edgar Saeidi, Maham Aljuaid, Awad M. Davahli, Mohammad Reza Taiar, Redha Marek, Tadeusz Sawyer, Ben D. |
author_sort | Fiok, Krzysztof |
collection | PubMed |
description | The COVID-19 pandemic has changed our lifestyles, habits, and daily routine. Some of the impacts of COVID-19 have been widely reported already. However, many effects of the COVID-19 pandemic are still to be discovered. The main objective of this study was to assess the changes in the frequency of reported physical back pain complaints reported during the COVID-19 pandemic. In contrast to other published studies, we target the general population using Twitter as a data source. Specifically, we aim to investigate differences in the number of back pain complaints between the pre-pandemic and during the pandemic. A total of 53,234 and 78,559 tweets were analyzed for November 2019 and November 2020, respectively. Because Twitter users do not always complain explicitly when they tweet about the experience of back pain, we have designed an intelligent filter based on natural language processing (NLP) to automatically classify the examined tweets into the back pain complaining class and other tweets. Analysis of filtered tweets indicated an 84% increase in the back pain complaints reported in November 2020 compared to November 2019. These results might indicate significant changes in lifestyle during the COVID-19 pandemic, including restrictions in daily body movements and reduced exposure to routine physical exercise. |
format | Online Article Text |
id | pubmed-8123305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81233052021-05-16 A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter(®) in the United States: A Natural Language Processing Approach Fiok, Krzysztof Karwowski, Waldemar Gutierrez, Edgar Saeidi, Maham Aljuaid, Awad M. Davahli, Mohammad Reza Taiar, Redha Marek, Tadeusz Sawyer, Ben D. Int J Environ Res Public Health Article The COVID-19 pandemic has changed our lifestyles, habits, and daily routine. Some of the impacts of COVID-19 have been widely reported already. However, many effects of the COVID-19 pandemic are still to be discovered. The main objective of this study was to assess the changes in the frequency of reported physical back pain complaints reported during the COVID-19 pandemic. In contrast to other published studies, we target the general population using Twitter as a data source. Specifically, we aim to investigate differences in the number of back pain complaints between the pre-pandemic and during the pandemic. A total of 53,234 and 78,559 tweets were analyzed for November 2019 and November 2020, respectively. Because Twitter users do not always complain explicitly when they tweet about the experience of back pain, we have designed an intelligent filter based on natural language processing (NLP) to automatically classify the examined tweets into the back pain complaining class and other tweets. Analysis of filtered tweets indicated an 84% increase in the back pain complaints reported in November 2020 compared to November 2019. These results might indicate significant changes in lifestyle during the COVID-19 pandemic, including restrictions in daily body movements and reduced exposure to routine physical exercise. MDPI 2021-04-25 /pmc/articles/PMC8123305/ /pubmed/33922924 http://dx.doi.org/10.3390/ijerph18094543 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Fiok, Krzysztof Karwowski, Waldemar Gutierrez, Edgar Saeidi, Maham Aljuaid, Awad M. Davahli, Mohammad Reza Taiar, Redha Marek, Tadeusz Sawyer, Ben D. A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter(®) in the United States: A Natural Language Processing Approach |
title | A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter(®) in the United States: A Natural Language Processing Approach |
title_full | A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter(®) in the United States: A Natural Language Processing Approach |
title_fullStr | A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter(®) in the United States: A Natural Language Processing Approach |
title_full_unstemmed | A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter(®) in the United States: A Natural Language Processing Approach |
title_short | A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter(®) in the United States: A Natural Language Processing Approach |
title_sort | study of the effects of the covid-19 pandemic on the experience of back pain reported on twitter(®) in the united states: a natural language processing approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123305/ https://www.ncbi.nlm.nih.gov/pubmed/33922924 http://dx.doi.org/10.3390/ijerph18094543 |
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