COVID-19 in thrombosis research: An editorial perspective

Bates, Shannon M.; Versteeg, H H; Klok, Frederikus A.

doi:10.1016/j.thromres.2021.03.011

Cited by 2 publications

(1 citation statement)

References 67 publications

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“…Since the beginning of the coronavirus disease 2019 (COVID-19) pandemic, caused by the SARS-CoV-2 virus in 2019 [1] it has become apparent that one of the features of COVID-19 is thrombosis (popularly known as blood clots) [2]. Several studies confirmed the observation made by initial publications on thrombotic complications in COVID-19 patients that a diagnosis of thromboembolism per se was associated with a more complicated in-hospital clinical course, higher incidence of admittance to the intensive care unit and higher all-cause mortality [ 3] . However, the early identification of patients at risk of thrombosis is still a challenge.…”

Section: Introductionmentioning

confidence: 93%

Social Network Analysis of Twitter Data Related to Blood Clots and Vaccines

Ahmed¹,

Vidal-Alaball²,

Vilaseca³

2022

Preprint

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After the first weeks of vaccination against the SARS-CoV-2, several cases of acute thrombosis were reported. These news reports began to be shared frequently across social media platforms. The aim of this study was to conduct an analysis of Twitter data related to the overall discussion. Data was retrieved from 14th March to 14th April using the keyword ‘blood clots’. A dataset with n=266,677 tweets was retrieved, and a systematic random sample of 5% of tweets (n=13,334) were entered into NodeXL for further analysis. Social network analysis was used to analyse the data by drawing upon the Clauset-Newman-Moore algorithm. Influential users were identified by drawing upon the betweenness centrality metric. Text analysis was applied to identify the key hashtags and websites used at this time. More than half of the network was comprised of retweets and the largest groups within the network were broadcast clusters where a number of key users were retweeted. The most popular narratives were around highlighting the low risk of obtaining a blood clot from a vaccine and highlighting higher blood clot risks in medicines commonly consumed. A wide-variety of actors drove the discussion on Twitter ranging from writers, physicians, the general public academics, celebrities, and journalists. Twitter was used to highlight the low potential of obtaining a blood clot from a vaccine and encouraged vaccinations among the public.

show abstract

Section: Introductionmentioning

confidence: 93%

Social Network Analysis of Twitter Data Related to Blood Clots and Vaccines

Ahmed¹,

Vidal-Alaball²,

Vilaseca³

2022

Preprint

View full text Add to dashboard Cite

show abstract

A Social Network Analysis of Twitter Data Related to Blood Clots and Vaccines

Ahmed

Vidal-Alaball

Vilaseca

2022

IJERPH

View full text Add to dashboard Cite

After the first weeks of vaccination against SARS-CoV-2, several cases of acute thrombosis were reported. These news reports began to be shared frequently across social media platforms. The aim of this study was to conduct an analysis of Twitter data related to the overall discussion. The data were retrieved from 14 March to 14 April 2021 using the keyword ‘blood clots’. A dataset with n = 266,677 tweets was retrieved, and a systematic random sample of 5% of tweets (n = 13,334) was entered into NodeXL for further analysis. Social network analysis was used to analyse the data by drawing upon the Clauset–Newman–Moore algorithm. Influential users were identified by drawing upon the betweenness centrality measure. Text analysis was applied to identify the key hashtags and websites used at this time. More than half of the network comprised retweets, and the largest groups within the network were broadcast clusters in which a number of key users were retweeted. The most popular narratives involved highlighting the low risk of obtaining a blood clot from a vaccine and highlighting that a number of commonly consumed medicine have higher blood clot risks. A wide variety of users drove the discussion on Twitter, including writers, physicians, the general public, academics, celebrities, and journalists. Twitter was used to highlight the low potential of developing a blood clot from vaccines, and users on Twitter encouraged vaccinations among the public.

show abstract

COVID-19 in thrombosis research: An editorial perspective

Cited by 2 publications

References 67 publications

Social Network Analysis of Twitter Data Related to Blood Clots and Vaccines

Social Network Analysis of Twitter Data Related to Blood Clots and Vaccines

A Social Network Analysis of Twitter Data Related to Blood Clots and Vaccines

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