Longitudinal Changes of COVID-19 Symptoms in Social Media: Observational Study

BackgroundIn December 2019, the COVID-19 outbreak started in China and rapidly spread around the world. Many studies have been conducted to understand the clinical characteristics of COVID-19, and recently postinfection sequelae of this disease have begun to be investigated. However, there is little...

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Библиографические подробности
Главные авторы: Sarah Sarabadani (Автор), Gaurav Baruah (Автор), Yan Fossat (Автор), Jouhyun Jeon (Автор)
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Опубликовано: JMIR Publications, 2022-02-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Sarah Sarabadani  |e author 
700 1 0 |a Gaurav Baruah  |e author 
700 1 0 |a Yan Fossat  |e author 
700 1 0 |a Jouhyun Jeon  |e author 
245 0 0 |a Longitudinal Changes of COVID-19 Symptoms in Social Media: Observational Study 
260 |b JMIR Publications,   |c 2022-02-01T00:00:00Z. 
500 |a 1438-8871 
500 |a 10.2196/33959 
520 |a BackgroundIn December 2019, the COVID-19 outbreak started in China and rapidly spread around the world. Many studies have been conducted to understand the clinical characteristics of COVID-19, and recently postinfection sequelae of this disease have begun to be investigated. However, there is little consensus on the longitudinal changes of lasting physical or psychological symptoms from prior COVID-19 infection. ObjectiveThis study aims to investigate and analyze public social media data from Reddit to understand the longitudinal impact of COVID-19 symptoms before and after recovery from COVID-19. MethodsWe collected 22,890 Reddit posts that were generated by 14,401 authors from March 14 to December 16, 2020. Using active learning and intensive manual inspection, 292 (2.03%) active authors, who were infected by COVID-19 and frequently reported disease progress on Reddit, along with their 2213 (9.67%) longitudinal posts, were identified. Machine learning tools to extract biomedical information were applied to identify COVID-19 symptoms mentioned in the Reddit posts. We then examined longitudinal changes in individual physiological and psychological characteristics before and after recovery from COVID-19 infection. ResultsIn total, 58 physiological and 3 psychological symptoms were identified in social media before and after recovery from COVID-19 infection. From the analyses, we found that symptoms of patients with COVID-19 lasted 2.5 months. On average, symptoms appeared around a month before recovery and remained for 1.5 months after recovery. Well-known COVID-19 symptoms, such as fever, cough, and chest congestion, appeared relatively earlier in patient journeys and were frequently observed before recovery from COVID-19. Meanwhile, mental discomfort or distress, such as brain fog or stress, fatigue, and manifestations on toes or fingers, were frequently mentioned after recovery and remained as intermediate- and longer-term sequelae. ConclusionsIn this study, we showed the dynamic changes in COVID-19 symptoms during the infection and recovery phases of the disease. Our findings suggest the feasibility of using social media data for investigating disease states and understanding the evolution of the physiological and psychological characteristics of COVID-19 infection over time. 
546 |a EN 
690 |a Computer applications to medicine. Medical informatics 
690 |a R858-859.7 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Journal of Medical Internet Research, Vol 24, Iss 2, p e33959 (2022) 
787 0 |n https://www.jmir.org/2022/2/e33959 
787 0 |n https://doaj.org/toc/1438-8871 
856 4 1 |u https://doaj.org/article/bb888b99e85b44a6bbe77ba7ec9cff3d  |z Connect to this object online.