Background: Despite the increased availability of vaccines, masking and social distancing remain important strategies to mitigate COVID-19 transmission. This qualitative study aimed to better understand experiences navigating public health recommendations to slow the spread of COVID-19 among economically and ethnically diverse mothers with young children.
Methods: Mothers of preschoolers (n=25) were recruited from Project EAT 2010-2018 (Eating and Activity over Time) longitudinal cohort. Participants completed a virtual semi-structured interview about their experiences during COVID-19. Interview transcripts were coded using deductive and inductive content analysis and analyzed using thematic analysis to identify themes.
Results: The first identified theme, "Selective adherence to recommendations" included subthemes highlighting how social distancing was more challenging than mask wearing, family and children were primary reasons for reduced adherence, and concern for the wellbeing of others influenced adherence. The second theme, "Personal experiences and relationships were important determinants of perceived severity of the virus and critical aspects of desired support," included subthemes on feelings of uncertainty, personal experiences with the virus, and desired community supports. Participants felt stressed and confused about what information to trust. Personal experiences with COVID-19 influenced perceptions of its seriousness, and mothers were more confident about following recommendations when they them from trusted medical professionals and desired for communities to work together.
Conclusions: How findings among this diverse population of mothers can help inform future public health messaging and policies throughout the remainder of this pandemic, its aftermath, and future public health emergencies, in which masking and social distancing will be needed, are discussed.
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http://dx.doi.org/10.1080/17538068.2022.2035923 | DOI Listing |
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
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January 2025
Department of Surgery, Laboratory of Tumor Immunology and Immunotherapy, Morehouse School of Medicine, Atlanta, GA 30310, USA.
Immunology advances have increased our understanding of autoimmune, auto-inflammatory, immunodeficiency, infectious, and other immune-mediated inflammatory diseases (IMIDs). Furthermore, evidence is growing for the immune involvement in aging, metabolic and neurodegenerative diseases, and different cancers. However, further research has indicated sex/gender-based immune differences, which further increase higher incidences of various autoimmune diseases (AIDs), such as systemic lupus erythematosus (SLE), myasthenia gravis, and rheumatoid arthritis (RA) in females.
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January 2025
Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, 210000 Nanjing, Jiangsu, China.
Background: Pre-eclampsia (PE) is a gestational disorder that significantly endangers maternal and fetal health. Transfer ribonucleic acid (tRNA)-derived small RNAs (tsRNAs) are important in the progression and diagnosis of various diseases. However, their role in the development of PE is unclear.
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