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
| Autor: | Ben D. Sawyer, Awad M. Aljuaid, Edgar Gutierrez, Maham Saeidi, Krzysztof Fiok, Waldemar Karwowski, Mohammad Reza Davahli, Redha Taiar, Tadeusz Marek |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Coronavirus disease 2019 (COVID-19)
Health Toxicology and Mutagenesis Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Population COVID-19 pandemics computer.software_genre 03 medical and health sciences back pain reports 0302 clinical medicine Pandemic Back pain medicine Social media 030212 general & internal medicine natural language processing education Daily routine Data source education.field_of_study business.industry Public Health Environmental and Occupational Health Medicine Artificial intelligence medicine.symptom Psychology business computer 030217 neurology & neurosurgery Natural language processing |
| Zdroj: | International Journal of Environmental Research and Public Health Volume 18 Issue 9 International Journal of Environmental Research and Public Health, Vol 18, Iss 4543, p 4543 (2021) BASE-Bielefeld Academic Search Engine |
| ISSN: | 1660-4601 |
| DOI: | 10.3390/ijerph18094543 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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