[HTML][HTML] Automatically identifying self-reports of COVID-19 diagnosis on Twitter: an annotated data set, deep neural network classifiers, and a large-scale cohort

AZ Klein, S Kunatharaju, K O'Connor… - Journal of Medical …, 2023 - jmir.org
Studies have shown that Twitter can be a complementary source of data for monitoring
personal experiences of COVID-19, such as symptoms [1-8]. Given the lack of manually …

“Should I stay or should I go?” Nurses' perspectives about working during the Covid-19 pandemic's first wave in the United States: A summative content analysis …

A Squires, M Clark-Cutaia, MD Henderson… - International Journal of …, 2022 - Elsevier
Background The COVID-19 pandemic had its first peak in the United States between April
and July of 2020, with incidence and prevalence rates of the virus the greatest in the …

[HTML][HTML] Investigating the role of nutrition in enhancing immunity during the covid-19 pandemic: Twitter text-mining analysis

K Shankar, R Chandrasekaran… - Journal of Medical …, 2023 - jmir.org
Background The COVID-19 pandemic has brought to the spotlight the critical role played by
a balanced and healthy diet in bolstering the human immune system. There is burgeoning …

[HTML][HTML] Diagnosis disclosure and peer-to-peer information seeking among COVID-19–infected social media users: survey of US-based adults

S Neely, F Hao - JMIR Formative Research, 2023 - formative.jmir.org
Background: Research examining online health communities suggests that individuals
affected by chronic health conditions can obtain valuable information and social support …

Understanding early experiences of Chinese frontline nurses during the COVID‐19 pandemic: A text mining and thematic analysis of social media information

Y Luo, X Feng, D Wang, M Zheng… - Nursing & Health …, 2023 - Wiley Online Library
This study aims to explore the early experiences of frontline nurses at the beginning of the
COVID‐19 pandemic in China as expressed through social media posts. This study used an …

Influence of social media on the fight against COVID-19 pandemic–literature review

K Iberszer, M Litwiniuk, M Zaniuk, K Hurkała… - Journal of Education …, 2023 - apcz.umk.pl
Introduction and purpose of the study: COVID-19 is a respiratory illness resulting from
infection with the second coronavirus of Severe Acute Respiratory Syndrome, SARS-CoV-2 …

Aplicación del Proceso Analítico Jerárquico en la comunicación digital de los organismos públicos durante la pandemia de la COVID-19

E Rodríguez-Peral, T Gómez, A García - 2022 - … .consejodecomunicacion.gob.ec
Esta investigación analiza la comunicación digital llevada a cabo por 21organismos
públicos del ámbito sanitario en la plataforma Twitter en el periodo de la pandemia de la …

NLP Applications—Social Media

A Sarker - Natural Language Processing in Biomedicine: A …, 2024 - Springer
Over the last decade, social media have been recognized as important sources of
biomedical data generated directly by patients/consumers. With over 80% of the United …

Python 语言在护理研究领域的应用现状与展望

苑秋辰, 麻盛淼, 沈晨, 杨浩杰, 梁涛 - 中国护理管理, 2023 - zghlgl.com
Python 作为近年来广受欢迎的编程语言之一, 有着开源, 免费, 丰富的第三方库,
护理学者可根据不同需求选择和使用. 本文旨在介绍Python 语言的特点及其网络爬虫 …

[PDF][PDF] Influence of social media on the fight against COVID-19 pandemic–literature review Wpływ social mediów na walkę z pandemią COVID-19–przegląd literatury

K Iberszer, M Litwiniuk, M Zaniuk, K Hurkała, D Antonik… - 2023 - apcz.umk.pl
Wprowadzenie I cel pracy: COVID-19 to choroba dróg oddechowych będąca wynikiem
zakażenia drugim koronawirusem ciężkiego ostrego zespołu oddechowego, SARS-CoV-2 …