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Is global health truly global? A hashtag analysis of #GlobalHealth disparities on X

Datos Bibliográficos

ID22076501
AutoresZara Arshad (0000-0003-4462-1434), Pranav Sharma (0000-0003-3481-8700), Shweta Sharma (0000-0002-4566-5677), Mustafa Sajjad Cheema (CMH Lahore Medical College and Institute of Dentistry), Charu Agarwal (0000-0001-5959-346X, Sri Siddhartha Medical College), Tamara Tango (0000-0002-8340-4259, University of Indonesia), Farhan Bin Matin (0009-0001-9163-6551, East West University), Atanas G Atanasov (0000-0003-2545-0967, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, autor de correspondencia), Bodrun Naher Siddiquea (0000-0002-9224-113X, Monash University), Maima Matin (0009-0001-5388-6285, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences), Olga Adamska (0000-0003-1875-2510, Cardinal Stefan Wyszynski University in Warsaw), Artur Stolarczyk (0000-0002-5633-8153, Medical University of Warsaw), Rahul Kashyap (0000-0003-2655-8179, WellSpan Health), Faisal A Nawaz (0000-0002-0701-7628, Abu Dhabi Health Services)
Año2024
Volumen12
Páginas1413556-1413556
Fecha de publicación2024-11-29
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1413556
PMID39678237
OpenAlexW4404870561
IdiomaEN
Referencias citadas25

Background X (Formerly known as Twitter) healthcare hashtags are a popular healthcare informatics and educational tool among medical professionals. #Globalhealth is one such widely used hashtag with extensive engagement. This study analyses #GlobalHealth to understand its pattern, global digital distribution, and other parameters during the COVID-19 pandemic on X. Methods Data was collected by utilizing posts using #GlobalHealth on X from 1st December 2019 to 1st November 2022. The analysis was performed using Symplur Signals to assess several parameters, such as the cumulative number of posts, impressions, category of users, co-occurring hashtags, and geolocation. The Symplur Rank system was used to assess the impact of influencers using the hashtag. Results A total of 843,762 posts were shared by 150,408 X users, with 4,639,144,304 impressions. Most posts (73.8%) were made by unclassified accounts, followed by doctors (4.2%), followed by other health workers. The #COVID19 was the most common co-occurring hashtag (43%). The top locations and the most influential X users came from the United States, the United Kingdom, and Canada. Among the top 25 most influential handles, a maximum ( N = 09) were based in the United States—most profiles ( N = 10) were categorized as international organizations followed by journals ( N = 03). Conclusion The study gives a glimpse into the discrepancies in global distribution and stakeholders of #GlobalHealth. Most posts originated from the global north, which hints at how the trend to #GlobalHealth is not perhaps as global as it is thought to be, and it also reflects upon the real-world scenarios in the context of Global Health Equity. Thus, deeper and wider studies on this digital discrepancy may add more to the existing discourse on the topic

Data science · Environmental health · Global health · Health equity · Pathology · Public health · Computer Science · Data-Driven Disease Surveillance · Medicine · Public Relations and Crisis Communication · Social Media in Health Education

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