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| http://dx.doi.org/10.1016/j.jinf.2021.01.005 | DOI Listing |
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Piecing together the narrative of #longcovid: an unsupervised deep learning of 1,354,889 X (formerly Twitter) posts from 2020 to 2023.
Front Public Health
December 2024
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Objective: To characterize the public conversations around long COVID, as expressed through X (formerly Twitter) posts from May 2020 to April 2023.
Methods: Using X as the data source, we extracted tweets containing #long-covid, #long_covid, or "long covid," posted from May 2020 to April 2023. We then conducted an unsupervised deep learning analysis using Bidirectional Encoder Representations from Transformers (BERT).
Coverage of Recommended Vaccination Among Adult Patients With Asthma in Riyadh, Saudi Arabia.
Cureus
December 2024
Department of Family and Community Medicine, Riyadh Second Health Cluster, Riyadh, SAU.
Introduction Asthma prevalence among Saudi adults aged 20-44 years in Riyadh is high, with 11.3% reporting physician-diagnosed asthma, exceeding rates in most countries using similar methods. In Aseer province, one out of five adults is estimated to have asthma.
View Article and Find Full Text PDFTypes of caregiving perceptions of family caregivers of elderly nursing home residents during the COVID-19 pandemic in Korea.
BMC Nurs
December 2024
College of Nursing, Sahmyook University, 815, Hwarang-ro, Nowon-gu, Seoul, 01795, Republic of Korea.
Background: This exploratory study applied Q methodology to identify the types of family caregivers of older adults in nursing homes during the COVID-19 pandemic based on their perceptions of the caregiving role and explore each type's characteristics.
Methods: Q statements were derived from in-depth interviews and a review of prior research. Q sorting was conducted using 39 P samples on a nine-point scale to determine Q distributions according to the degree of subjective agreeableness for each statement.
Post-COVID-19 manifestations among college students: shedding the light on young adults' health.
BMC Public Health
December 2024
College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.
Background: Post-COVID-19 syndrome refers to a variety of symptoms that affect different organs in the body and can persist 28 days following exposure to COVID-19. Previous studies have shown that COVID-19 affects not only elderly individuals but also young adults. However, the influence of post-COVID-19 syndrome on young adults has not been studied sufficiently.
View Article and Find Full Text PDFA prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning.
BMC Med Res Methodol
December 2024
School of Public Health, Xuzhou Medical University, No. 209 Tongshan Road, Xuzhou, Jiangsu, 221004, China.
Background: The prediction of coronavirus disease in 2019 (COVID-19) in broader regions has been widely researched, but for specific areas such as urban areas the predictive models were rarely studied. It may be inaccurate to apply predictive models from a broad region directly to a small area. This paper builds a prediction approach for small size COVID-19 time series in a city.
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