COVID-19: Retransmission of official communications in an emerging pandemic

Sutton, Jeannette; Renshaw, Scott Leo; Butts, Carter T.

doi:10.1371/journal.pone.0238491

Cited by 47 publications

(64 citation statements)

References 24 publications

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“…Two studies analysed data from Sina Weibo, 23,27 and the other four studies analysed data from Twitter. [28][29][30][31] Zhu and colleagues 23 measured the attention of Chinese netizens-ie, citizen of the net-to COVID-19 by analysing 1101 Sina Weibo posts. They noted that Chinese netizens paid little attention to the disease until the Chinese Government acknowledged and declared the COVID-19 outbreak on Jan 20, 2020.…”

Section: Social Media As Disease Controlmentioning

confidence: 99%

What social media told us in the time of COVID-19: a scoping review

Tsao

Chen

Tisseverasinghe

et al. 2021

The Lancet Digital Health

658

382

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With the onset of the COVID-19 pandemic, social media has rapidly become a crucial communication tool for information generation, dissemination, and consumption. In this scoping review, we selected and examined peerreviewed empirical studies relating to COVID-19 and social media during the first outbreak from November, 2019, to November, 2020. From an analysis of 81 studies, we identified five overarching public health themes concerning the role of online social media platforms and COVID-19. These themes focused on: surveying public attitudes, identifying infodemics, assessing mental health, detecting or predicting COVID-19 cases, analysing government responses to the pandemic, and evaluating quality of health information in prevention education videos. Furthermore, our Review emphasises the paucity of studies on the application of machine learning on data from COVID-19-related social media and a scarcity of studies documenting real-time surveillance that was developed with data from social media on COVID-19. For COVID-19, social media can have a crucial role in disseminating health information and tackling infodemics and misinformation. e176 www.thelancet.com/digital-health Vol 3 March 2021 Review Methods OverviewStudies exploring the use of social media relating to COVID-19 were reviewed by use of the scoping review methods of Arksey and O'Malley 13 and Levac and colleagues. 14 We followed the five-step scoping review protocol and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. Data SourcesExploratory searches were done on COVID-19 Open Research Dataset Challenge and Google Scholar in April, 2020. These searches helped to define the Review scope, develop the research questions, and determine eligibility criteria. After such activity, MEDLINE and PubMed, Scopus, and PsycINFO were selected for this Review because they include peer-reviewed literature in the fields of medicine, behavioural sciences, psychology, health-care systems, and clinical sciences. Variations of the key search terms can be found in the panel. Since the start of the current pandemic, COVID-19 articles were reviewed and published at an unprecedently rapid rate, with numerous publications that were available ahead of print referred to as preprints or articles in press. In this Review, we consider peer-reviewed preprints to be equivalent to published peer-reviewed articles, and relevant articles were screened accordingly. Screening procedureMainly, the primary reviewer (S-FT) screened title and abstract for each article to decide whether an article met the inclusion criteria. If the criteria were confirmed, then the article was included; otherwise, it was excluded. Paragraphs in articles were assigned a code representing one of the five themes (eg, I for infodemic), then a code was assigned to the article on the basis of the majority of paragraph codes. Next, quotes were sorted under each code, applying Ose's method. 15 Braun and Clark's thematic analysis method was used and involved searchin...

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Section: Social Media As Disease Controlmentioning

confidence: 99%

What social media told us in the time of COVID-19: a scoping review

Tsao

Chen

Tisseverasinghe

et al. 2021

The Lancet Digital Health

658

382

View full text Add to dashboard Cite

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“…The third, the country of study and the references. Category Proxy data type Country and reference Adoption of NPI Mobile phones and/or vehicles through location intelligence and measurement platforms USA [367] , [368] , [369] , [370] , [371] , [372] Twitter Twitter population [373] , [374] Wikipedia and Reddit Canada, Italy, USA, UK [375] Google USA [376] ; 130 countries [377] TV USA [378] Mobility changes Mobile phones and/or vehicles through location intelligence and measurement platforms USA [37] , [38] , [379] , [380] Facebook Italy [39] Citymapper app 22 countries [381] …”

Section: Measuring Npis Via Proxy Datamentioning

confidence: 99%

“…Here, we find articles aimed at quantifying the adoption of NPIs via proxy data such as mobile phones collected by location intelligence companies [367] , [368] , [369] , [370] , [371] , [372] , Twitter [373] , [374] , COVID-19 ad-hoc apps [196] , Wikipedia and Reddit [375] , Google [376] , [377] , and TV viewings [378] .…”

Section: Measuring Npis Via Proxy Datamentioning

confidence: 99%

“…Ref. [374] studies the communication strategies of official accounts (i.e., public health, emergency services, officials) on Twitter during the evolution of the emergency. In fact, the ability to reach effectively a large user base to promote safe and verified recommendation as well as explaining measures and regulations in place is key.…”

Section: Measuring Npis Via Proxy Datamentioning

confidence: 99%

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Non-pharmaceutical interventions during the COVID-19 pandemic: A review

2021

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Infectious diseases and human behavior are intertwined. On one side, our movements and interactions are the engines of transmission. On the other, the unfolding of viruses might induce changes to our daily activities. While intuitive, our understanding of such feedback loop is still limited. Before COVID-19 the literature on the subject was mainly theoretical and largely missed validation. The main issue was the lack of empirical data capturing behavioral change induced by diseases. Things have dramatically changed in 2020. Non-pharmaceutical interventions (NPIs) have been the key weapon against the SARS-CoV-2 virus and affected virtually any societal process. Travels bans, events cancellation, social distancing, curfews, and lockdowns have become unfortunately very familiar. The scale of the emergency, the ease of survey as well as crowdsourcing deployment guaranteed by the latest technology, several Data for Good programs developed by tech giants, major mobile phone providers, and other companies have allowed unprecedented access to data describing behavioral changes induced by the pandemic. Here, I review some of the vast literature written on the subject of NPIs during the COVID-19 pandemic. In doing so, I analyze 348 articles written by more than 2518 of authors in the first 12 months of the emergency. While the large majority of the sample was obtained by querying PubMed, it includes also a hand-curated list. Considering the focus, and methodology I have classified the sample into seven main categories: epidemic models, surveys, comments/perspectives, papers aiming to quantify the effects of NPIs, reviews, articles using data proxies to measure NPIs, and publicly available datasets describing NPIs. I summarize the methodology, data used, findings of the articles in each category and provide an outlook highlighting future challenges as well as opportunities.

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“…Health institutions can inform the public about common health topics such as healthy living, immunization, and smoking [7]; communicate the risk of disease outbreaks [28]; quickly provide instructions about prevention behaviors to a broad audience during disease outbreaks [29]; and share the latest news and inform the public of the government's handling of disease outbreaks [28,30]. Research efforts have been devoted to exploring strategies for generating health content on social media and increasing retransmission [31,32]. Social media has several advantages over other media outlets when used for disseminating health information.…”

Section: Disseminate Health Information and Combat Misinformationmentioning

confidence: 99%

Social Media Use for Health Purposes: Systematic Review

Chen¹,

Wang²

2021

J Med Internet Res

462

220

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Background Social media has been widely used for health-related purposes, especially during the COVID-19 pandemic. Previous reviews have summarized social media uses for a specific health purpose such as health interventions, health campaigns, medical education, and disease outbreak surveillance. The most recent comprehensive review of social media uses for health purposes, however, was conducted in 2013. A systematic review that covers various health purposes is needed to reveal the new usages and research gaps that emerge in recent years. Objective This study aimed to provide a systematic review of social media uses for health purposes that have been identified in previous studies. Methods The researchers searched for peer-reviewed journal articles published between 2006 and 2020 in 12 databases covering medicine, public health, and social science. After coding the articles in terms of publication year, journal area, country, method, social media platform, and social media use for health purposes, the researchers provided a review of social media use for health purposes identified in these articles. Results This study summarized 10 social media uses for various health purposes by health institutions, health researchers and practitioners, and the public. Conclusions Social media can be used for various health purposes. Several new usages have emerged since 2013 including advancing health research and practice, social mobilization, and facilitating offline health-related services and events. Research gaps exist regarding advancing strategic use of social media based on audience segmentation, evaluating the impact of social media in health interventions, understanding the impact of health identity development, and addressing privacy concerns.

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COVID-19: Retransmission of official communications in an emerging pandemic

Cited by 47 publications

References 24 publications

What social media told us in the time of COVID-19: a scoping review

What social media told us in the time of COVID-19: a scoping review

Non-pharmaceutical interventions during the COVID-19 pandemic: A review

Social Media Use for Health Purposes: Systematic Review

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