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1.
PLoS One ; 16(7): e0254359, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34255783

RESUMO

Reopening amid the COVID-19 pandemic has triggered a battle on social media. The supporters perceived that the lockdown policy could damage the economy and exacerbate social inequality. By contrast, the opponents believed it was necessary to contain the spread and ensure a safe environment for recovery. Anatomy into the battle is of importance to address public concerns, beliefs, and values, thereby enabling policymakers to determine the appropriate solutions to implement reopening policy. To this end, we investigated over 1.5 million related Twitter postings from April 17 to May 30, 2020. With the aid of natural language processing (NLP) techniques and machine learning classifiers, we classified each tweet into either a "supporting" or "opposing" class and then investigated the public perception from temporal and spatial perspectives. From the temporal dimension, we found that both political and scientific news that were extensively discussed on Twitter led to the perception of opposing reopening. Further, being the first mover with full reopen adversely affected the public reaction to reopening policy, while being the follower or late mover resulted in positive responses. From the spatial dimension, the correlation and regression analyses suggest that the state-level perception was very likely to be associated with political affiliation and health value.


Assuntos
Atitude , COVID-19/psicologia , Quarentena/psicologia , Mídias Sociais/estatística & dados numéricos , COVID-19/epidemiologia , COVID-19/prevenção & controle , Humanos , Aprendizado de Máquina , Processamento de Linguagem Natural , Política , Análise Espaço-Temporal
3.
Curr Oncol Rep ; 23(8): 99, 2021 07 14.
Artigo em Inglês | MEDLINE | ID: mdl-34259950

RESUMO

PURPOSE OF REVIEW: To give an overview of the role of social media (SoMe) in cardio-oncology during the COVID-19 pandemic. RECENT FINDINGS: SoMe has been critical in fostering education, outreach, awareness, collaboration, dissemination of information, and advocacy in cardio-oncology. This has become increasingly evident during the COVID-19 pandemic, during which SoMe has helped share best practices, community, and research focused on the impact of COVID-19 in cardiology and hematology/oncology, with cardio-oncology at the interface of these two subspecialty fields. A strength of SoMe is the ability to amplify a message in real-time, globally, with minimal investment of resources. This has been particularly beneficial for the emerging field of cardio-hematology/cardio-oncology, a field focused on the interplay of cancer and cardiovascular disease. SoMe field especially during the COVID-19 pandemic. We illustrate how social media has supported innovation (including telemedicine), amplification of healthcare workers' voice, and illumination of pre-existing and continued health disparities within the field of cardio-oncology during the pandemic.


Assuntos
COVID-19/complicações , Doenças Cardiovasculares/terapia , Neoplasias/terapia , SARS-CoV-2/isolamento & purificação , Mídias Sociais/estatística & dados numéricos , Telemedicina , COVID-19/transmissão , COVID-19/virologia , Doenças Cardiovasculares/virologia , Humanos , Disseminação de Informação , Neoplasias/virologia
4.
PLoS One ; 16(6): e0252373, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34106993

RESUMO

OBJECTIVE: To assess whether the basic reproduction number (R0) of COVID-19 is different across countries and what national-level demographic, social, and environmental factors other than interventions characterize initial vulnerability to the virus. METHODS: We fit logistic growth curves to reported daily case numbers, up to the first epidemic peak, for 58 countries for which 16 explanatory covariates are available. This fitting has been shown to robustly estimate R0 from the specified period. We then use a generalized additive model (GAM) to discern both linear and nonlinear effects, and include 5 random effect covariates to account for potential differences in testing and reporting that can bias the estimated R0. FINDINGS: We found that the mean R0 is 1.70 (S.D. 0.57), with a range between 1.10 (Ghana) and 3.52 (South Korea). We identified four factors-population between 20-34 years old (youth), population residing in urban agglomerates over 1 million (city), social media use to organize offline action (social media), and GINI income inequality-as having strong relationships with R0, across countries. An intermediate level of youth and GINI inequality are associated with high R0, (n-shape relationships), while high city population and high social media use are associated with high R0. Pollution, temperature, and humidity did not have strong relationships with R0 but were positive. CONCLUSION: Countries have different characteristics that predispose them to greater intrinsic vulnerability to COVID-19. Studies that aim to measure the effectiveness of interventions across locations should account for these baseline differences in social and demographic characteristics.


Assuntos
Número Básico de Reprodução/estatística & dados numéricos , COVID-19/epidemiologia , Renda/estatística & dados numéricos , Mídias Sociais/estatística & dados numéricos , Fatores Etários , COVID-19/economia , COVID-19/transmissão , COVID-19/virologia , Bases de Dados Factuais , Saúde Global , Humanos , Modelos Estatísticos , Pandemias , SARS-CoV-2/isolamento & purificação , Fatores Socioeconômicos , População Urbana/estatística & dados numéricos
5.
West J Emerg Med ; 22(3): 710-718, 2021 Mar 22.
Artigo em Inglês | MEDLINE | ID: mdl-34125051

RESUMO

INTRODUCTION: The objective of this study was to analyze the messages of influential emergency medicine (EM) Twitter users in the United States (US) during the early stages of the coronavirus disease 2019 (COVID-19) global pandemic by characterizing the themes, emotional tones, temporal viewpoints, and depth of engagement with the tweets. METHODS: We performed a retrospective mixed-methods analysis of publicly available Twitter data derived from the publicly available "Coronavirus Tweet IDs" dataset, March 3, 2020-May 1, 2020. Original tweets and modified retweets in the dataset by 50 influential EM Twitter users in the US were analyzed using linguistic software to report the emotional tone and temporal viewpoint. We qualitatively analyzed a 25% random subsample and report themes. RESULTS: There were 1315 tweets available in the dataset from 36/50 influential EM Twitter users in the US. The majority of tweets were either positive (455/1315, 34.6%) or neutral (407/1315, 31%) in tone and focused on the present (1009/1315, 76.7%). Qualitative analysis identified six distinct themes, with users most often sharing news or clinical information. CONCLUSIONS: During the early weeks of the COVID-19 pandemic, influential EM Twitter users in the US delivered mainly positive or neutral messages, most often pertaining to news stories or information directly relating to patient care. The majority of these messages led to engagement by other users. This study underscores how EM influencers can leverage social media in public health outbreaks to bring attention to topics of importance.


Assuntos
COVID-19/psicologia , Medicina de Emergência/estatística & dados numéricos , Médicos/estatística & dados numéricos , Mídias Sociais/estatística & dados numéricos , COVID-19/epidemiologia , Humanos , Pandemias , Médicos/psicologia , Estudos Retrospectivos , SARS-CoV-2
6.
J Appl Psychol ; 106(6): 797-810, 2021 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-34138587

RESUMO

Due to the coronavirus disease 2019 (COVID-19) pandemic, many employees have been strongly encouraged or mandated to work from home. The present study sought to understand the attitudes and experiences of the general public toward remote work by analyzing Twitter data from March 30 to July 5 of 2020. We web scraped over 1 million tweets using keywords such as "telework," "work from home," "remote work," and so forth, and analyzed the content using natural language processing (NLP) techniques. Sentiment analysis results show generally positive attitudes expressed by remote work-related tweets, with minor dips during the weekend. Topic modeling results uncovered themes among tweets including home office, cybersecurity, mental health, work-life balance, teamwork, and leadership, with minor changes in topics revealed over the 14-week period. Findings point to topics of particular concern regarding working from home and can help guide hypothesis generation for future research. (PsycInfo Database Record (c) 2021 APA, all rights reserved).


Assuntos
COVID-19/prevenção & controle , Opinião Pública , Mídias Sociais/estatística & dados numéricos , Teletrabalho/estatística & dados numéricos , Humanos , Pandemias , SARS-CoV-2
7.
J Med Internet Res ; 23(7): e28615, 2021 07 14.
Artigo em Inglês | MEDLINE | ID: mdl-34081612

RESUMO

BACKGROUND: The early conversations on social media by emergency physicians offer a window into the ongoing response to the COVID-19 pandemic. OBJECTIVE: This retrospective observational study of emergency physician Twitter use details how the health care crisis has influenced emergency physician discourse online and how this discourse may have use as a harbinger of ensuing surge. METHODS: Followers of the three main emergency physician professional organizations were identified using Twitter's application programming interface. They and their followers were included in the study if they identified explicitly as US-based emergency physicians. Statuses, or tweets, were obtained between January 4, 2020, when the new disease was first reported, and December 14, 2020, when vaccination first began. Original tweets underwent sentiment analysis using the previously validated Valence Aware Dictionary and Sentiment Reasoner (VADER) tool as well as topic modeling using latent Dirichlet allocation unsupervised machine learning. Sentiment and topic trends were then correlated with daily change in new COVID-19 cases and inpatient bed utilization. RESULTS: A total of 3463 emergency physicians produced 334,747 unique English-language tweets during the study period. Out of 3463 participants, 910 (26.3%) stated that they were in training, and 466 of 902 (51.7%) participants who provided their gender identified as men. Overall tweet volume went from a pre-March 2020 mean of 481.9 (SD 72.7) daily tweets to a mean of 1065.5 (SD 257.3) daily tweets thereafter. Parameter and topic number tuning led to 20 tweet topics, with a topic coherence of 0.49. Except for a week in June and 4 days in November, discourse was dominated by the health care system (45,570/334,747, 13.6%). Discussion of pandemic response, epidemiology, and clinical care were jointly found to moderately correlate with COVID-19 hospital bed utilization (Pearson r=0.41), as was the occurrence of "covid," "coronavirus," or "pandemic" in tweet texts (r=0.47). Momentum in COVID-19 tweets, as demonstrated by a sustained crossing of 7- and 28-day moving averages, was found to have occurred on an average of 45.0 (SD 12.7) days before peak COVID-19 hospital bed utilization across the country and in the four most contributory states. CONCLUSIONS: COVID-19 Twitter discussion among emergency physicians correlates with and may precede the rising of hospital burden. This study, therefore, begins to depict the extent to which the ongoing pandemic has affected the field of emergency medicine discourse online and suggests a potential avenue for understanding predictors of surge.


Assuntos
COVID-19/epidemiologia , Comunicação , Medicina de Emergência , Previsões/métodos , Hospitalização/estatística & dados numéricos , Hospitalização/tendências , Médicos , Mídias Sociais/estatística & dados numéricos , COVID-19/diagnóstico , Vacinas contra COVID-19/administração & dosagem , Humanos , Análise de Classes Latentes , Estudos Longitudinais , Pandemias , Estudos Retrospectivos , SARS-CoV-2 , Vacinação/estatística & dados numéricos
8.
Bull World Health Organ ; 99(6): 455-463A, 2021 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-34108756

RESUMO

Objective: To review misinformation related to coronavirus disease 2019 (COVID-19) on social media during the first phase of the pandemic and to discuss ways of countering misinformation. Methods: We searched PubMed®, Scopus, Embase®, PsycInfo and Google Scholar databases on 5 May 2020 and 1 June 2020 for publications related to COVID-19 and social media which dealt with misinformation and which were primary empirical studies. We followed the preferred reporting items for systematic reviews and meta-analyses and the guidelines for using a measurement tool to assess systematic reviews. Evidence quality and the risk of bias of included studies were classified using the grading of recommendations assessment, development and evaluation approach. The review is registered in the international prospective register of systematic reviews (PROSPERO; CRD42020182154). Findings: We identified 22 studies for inclusion in the qualitative synthesis. The proportion of COVID-19 misinformation on social media ranged from 0.2% (413/212 846) to 28.8% (194/673) of posts. Of the 22 studies, 11 did not categorize the type of COVID-19-related misinformation, nine described specific misinformation myths and two reported sarcasm or humour related to COVID-19. Only four studies addressed the possible consequences of COVID-19-related misinformation: all reported that it led to fear or panic. Conclusion: Social media play an increasingly important role in spreading both accurate information and misinformation. The findings of this review may help health-care organizations prepare their responses to subsequent phases in the COVID-19 infodemic and to future infodemics in general.


Assuntos
COVID-19/epidemiologia , Mídias Sociais/estatística & dados numéricos , Mídias Sociais/normas , Humanos , SARS-CoV-2
9.
J Med Internet Res ; 23(6): e26655, 2021 06 21.
Artigo em Inglês | MEDLINE | ID: mdl-34086593

RESUMO

BACKGROUND: COVID-19 has continued to spread in the United States and globally. Closely monitoring public engagement and perceptions of COVID-19 and preventive measures using social media data could provide important information for understanding the progress of current interventions and planning future programs. OBJECTIVE: The aim of this study is to measure the public's behaviors and perceptions regarding COVID-19 and its effects on daily life during 5 months of the pandemic. METHODS: Natural language processing (NLP) algorithms were used to identify COVID-19-related and unrelated topics in over 300 million online data sources from June 15 to November 15, 2020. Posts in the sample were geotagged by NetBase, a third-party data provider, and sensitivity and positive predictive value were both calculated to validate the classification of posts. Each post may have included discussion of multiple topics. The prevalence of discussion regarding these topics was measured over this time period and compared to daily case rates in the United States. RESULTS: The final sample size included 9,065,733 posts, 70% of which were sourced from the United States. In October and November, discussion including mentions of COVID-19 and related health behaviors did not increase as it had from June to September, despite an increase in COVID-19 daily cases in the United States beginning in October. Additionally, discussion was more focused on daily life topics (n=6,210,255, 69%), compared with COVID-19 in general (n=3,390,139, 37%) and COVID-19 public health measures (n=1,836,200, 20%). CONCLUSIONS: There was a decline in COVID-19-related social media discussion sourced mainly from the United States, even as COVID-19 cases in the United States increased to the highest rate since the beginning of the pandemic. Targeted public health messaging may be needed to ensure engagement in public health prevention measures as global vaccination efforts continue.


Assuntos
COVID-19/epidemiologia , Saúde Pública/estatística & dados numéricos , Mídias Sociais/estatística & dados numéricos , Estudos Transversais , Humanos , Processamento de Linguagem Natural , Pandemias , SARS-CoV-2 , Estados Unidos/epidemiologia , Vacinação
10.
J Med Internet Res ; 23(7): e27448, 2021 07 21.
Artigo em Inglês | MEDLINE | ID: mdl-34133314

RESUMO

BACKGROUND: The beginning of the COVID-19 pandemic presented many sudden challenges regarding food, including grocery shopping changes (eg, reduced store hours, capacity restrictions, and empty store shelves due to food hoarding), restaurant closures, the need to cook more at home, and closures of food access programs. Eat Well Saskatchewan (EWS) implemented a 16-week social media campaign, #eatwellcovid19, led by a dietitian and nutrition student that focused on sharing stories submitted by the Saskatchewan public about how they were eating healthy during the COVID-19 pandemic. OBJECTIVE: The goal of this study was to describe the implementation of the #eatwellcovid19 social media campaign and the results from the evaluation of the campaign, which included campaign performance using social media metrics and experiences and perspectives of campaign followers. METHODS: Residents of Saskatchewan, Canada, were invited to submit personal stories and experiences to EWS about how they were eating healthy during the COVID-19 pandemic from April to August 2020. Each week, one to three stories were featured on EWS social media platforms-Facebook, Instagram, and Twitter-along with evidence-based nutrition information to help residents become more resilient to challenges related to food and nutrition experienced during the COVID-19 pandemic. Individuals who submitted stories were entered into a weekly draw for a Can $100 grocery gift card. Social media metrics and semistructured qualitative interviews of campaign followers were used to evaluate the #eatwellcovid19 campaign. RESULTS: In total, 75 stories were submitted by 74 individuals on a variety of topics (eg, grocery shopping, traditional skills, and gardening), and 42 stories were featured on social media. EWS shared 194 #eatwellcovid19 posts across social media platforms (Facebook: n=100; Instagram: n=55; and Twitter: n=39). On Facebook, #eatawellcovid19 reached 100,571 followers and left 128,818 impressions, resulting in 9575 engagements. On Instagram, the campaign reached 11,310 followers, made 14,145 impressions, and received 823 likes and 15 comments. On Twitter, #eatwellcovid19 made 15,199 impressions and received 424 engagements. Featured story submission posts had the best engagement on Facebook and the most likes and comments on Instagram. The EWS social media pages reported increases in their following during the campaign (Instagram: +30%; Facebook: +14%; and Twitter: +12%). Results from the interviews revealed that there were two types of campaign followers: those who appreciated hearing the stories submitted by followers, as it helped them to feel connected to the community during social isolation, and those who appreciated the evidence-based information. CONCLUSIONS: Numerous stories were submitted to the #eatwellcovid19 social media campaign on various topics. On Instagram and Facebook, posts that featured these stories had the highest engagement. During this campaign, EWS's social media following increased by more than 10% on each platform. The approach used for the #eatwellcovid19 campaign could be considered by others looking to develop health promotion campaigns.


Assuntos
COVID-19 , Dieta Saudável , Promoção da Saúde/organização & administração , Promoção da Saúde/estatística & dados numéricos , Pandemias , Pesquisa Qualitativa , Mídias Sociais/estatística & dados numéricos , Adolescente , Adulto , Idoso , COVID-19/epidemiologia , Emoções , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , SARS-CoV-2 , Saskatchewan/epidemiologia , Adulto Jovem
11.
JMIR Public Health Surveill ; 7(7): e27942, 2021 07 12.
Artigo em Inglês | MEDLINE | ID: mdl-34117860

RESUMO

BACKGROUND: During a public health crisis such as the current COVID-19 pandemic, governments and health authorities need quick and accurate methods of communicating with the public. While social media can serve as a useful tool for effective communication during disease outbreaks, few studies have elucidated how these platforms are used by the Ministry of Health (MOH) during disease outbreaks in Saudi Arabia. OBJECTIVE: Guided by the Crisis and Emergency Risk Communication model, this study aimed to explore the MOH's use of Twitter and the public's engagement during different stages of the COVID-19 pandemic in Saudi Arabia. METHODS: Tweets and corresponding likes and retweets were extracted from the official Twitter account of the MOH in Saudi Arabia for the period of January 1 through August 31, 2020. Tweets related to COVID-19 were identified; subsequently, content analysis was performed, in which tweets were coded for the following message types: risk messages, warnings, preparations, uncertainty reduction, efficacy, reassurance, and digital health responses. Public engagement was measured by examining the numbers of likes and retweets. The association between outbreak stages and types of messages was assessed, as well as the effect of these messages on public engagement. RESULTS: The MOH posted a total of 1393 original tweets during the study period. Of the total tweets, 1293 (92.82%) were related to COVID-19, and 1217 were ultimately included in the analysis. The MOH posted the majority of its tweets (65.89%) during the initial stage of the outbreak. Accordingly, the public showed the highest level of engagement (as indicated by numbers of likes and retweets) during the initial stage. The types of messages sent by the MOH significantly differed across outbreak stages, with messages related to uncertainty reduction, reassurance, and efficacy being prevalent among all stages. Tweet content, media type, and crisis stage influenced the level of public engagement. Engagement was negatively associated with the inclusion of hyperlinks and multimedia files, while higher level of public engagement was associated with the use of hashtags. Tweets related to warnings, uncertainty reduction, and reassurance received high levels of public engagement. CONCLUSIONS: This study provides insights into the Saudi MOH's communication strategy during the COVID-19 pandemic. Our results have implications for researchers, governments, health organizations, and practitioners with regard to their communication practices during outbreaks. To increase public engagement, governments and health authorities should consider the public's need for information. This, in turn, could raise public awareness regarding disease outbreaks.


Assuntos
COVID-19/prevenção & controle , Participação da Comunidade/estatística & dados numéricos , Comunicação em Saúde/métodos , Pandemias/prevenção & controle , Saúde Pública , Mídias Sociais/estatística & dados numéricos , COVID-19/epidemiologia , Humanos , Arábia Saudita/epidemiologia
12.
Sci Rep ; 11(1): 11741, 2021 06 03.
Artigo em Inglês | MEDLINE | ID: mdl-34083549

RESUMO

Due to the COVID-19 pandemic originating in China in December 2019, apart from the grave concerns on the exponentially increasing casualties, the affected countries are called to deal with severe repercussions in all aspects of everyday life, from economic recession to national and international movement restrictions. Several regions managed to handle the pandemic more successfully than others in terms of life loss, while ongoing heated debates as to the right course of action for battling COVID-19 have divided the academic community as well as public opinion. To this direction, in this paper, an autoregressive COVID-19 prediction model with heterogeneous explanatory variables for Greece is proposed, taking past COVID-19 data, non-pharmaceutical interventions (NPIs), and Google query data as independent variables, from the day of the first confirmed case-February 26th-to the day before the announcement for the quarantine measures' softening-April 24th. The analysis indicates that the early measures taken by the Greek officials positively affected the flattening of the epidemic curve, with Greece having recorded significantly decreased COVID-19 casualties per million population and managing to stay on the low side of the deaths over cases spectrum. In specific, the prediction model identifies the 7-day lag that is needed in order for the measures' results to actually show, i.e., the optimal time-intervention framework for managing the disease's spread, while our analysis also indicates an appropriate point during the disease spread where restrictive measures should be applied. Present results have significant implications for effective policy making and in the designing of the NPIs, as the second wave of COVID-19 is expected in fall 2020, and such multidisciplinary analyses are crucial in order to understand the evolution of the Daily Deaths to Daily Cases ratio along with its determinants as soon as possible, for the assessment of the respective domestic health authorities' policy interventions as well as for the timely health resources allocation.


Assuntos
COVID-19/prevenção & controle , Controle de Infecções/métodos , Modelos Teóricos , COVID-19/epidemiologia , COVID-19/mortalidade , COVID-19/transmissão , Emigrantes e Imigrantes/estatística & dados numéricos , Grécia/epidemiologia , Humanos , Quarentena , Mídias Sociais/estatística & dados numéricos
13.
J Aging Stud ; 57: 100929, 2021 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-34082999

RESUMO

Early reports of COVID-19 often inaccurately presented the virus as a serious concern only among older adults. On the social media platform of Twitter, #BoomerRemover originated as a hashtag intended to express the age-related disparities of COVID-19. This study used a content analysis to examine tweets over a two-week period in March 2020 that used #BoomerRemover to discuss COVID-19 among older adults. A total of 1875 tweets were analyzed. Salient themes include: (1) There's a Real Intergenerational Divide, (2) Young People are Affected Too, (3) It's Being Used for Political Gain, and (4) #BoomerRemover is Simply Disrespectful. Findings suggest that many of the tweets employing #BoomerRemover were grounded in either personal or political ageism. In addition, a significant portion of tweeters used #BoomerRemover to defend older adults and speak out against ageism. This study highlights the importance of recognizing and addressing the growing intergenerational divide on social media, particularly during the COVID-19 pandemic.


Assuntos
Ageismo/psicologia , Ageismo/estatística & dados numéricos , COVID-19/psicologia , Mídias Sociais/estatística & dados numéricos , Adolescente , Adulto , Fatores Etários , Idoso , Humanos , Pessoa de Meia-Idade , SARS-CoV-2 , Adulto Jovem
14.
J Med Internet Res ; 23(6): e26956, 2021 06 17.
Artigo em Inglês | MEDLINE | ID: mdl-33974550

RESUMO

BACKGROUND: The COVID-19 pandemic has highlighted the importance of rapid dissemination of scientific and medical discoveries. Current platforms available for the distribution of scientific and clinical research data and information include preprint repositories and traditional peer-reviewed journals. In recent times, social media has emerged as a helpful platform to share scientific and medical discoveries. OBJECTIVE: This study aimed to comparatively analyze activity on social media (specifically, Twitter) and that related to publications in the form of preprint and peer-reviewed journal articles in the context of COVID-19 and gastroenterology during the early stages of the COVID-19 pandemic. METHODS: COVID-19-related data from Twitter (tweets and user data) and articles published in preprint servers (bioRxiv and medRxiv) as well as in the PubMed database were collected and analyzed during the first 6 months of the pandemic, from December 2019 through May 2020. Global and regional geographic and gastrointestinal organ-specific social media trends were compared to preprint and publication activity. Any relationship between Twitter activity and preprint articles published and that between Twitter activity and PubMed articles published overall, by organ system, and by geographic location were identified using Spearman's rank-order correlation. RESULTS: Over the 6-month period, 73,079 tweets from 44,609 users, 7164 journal publications, and 4702 preprint publications were retrieved. Twitter activity (ie, number of tweets) peaked in March 2020, whereas preprint and publication activity (ie, number of articles published) peaked in April 2020. Overall, strong correlations were identified between trends in Twitter activity and preprint and publication activity (P<.001 for both). COVID-19 data across the three platforms mainly concentrated on pulmonology or critical care, but when analyzing the field of gastroenterology specifically, most tweets pertained to pancreatology, most publications focused on hepatology, and most preprints covered hepatology and luminal gastroenterology. Furthermore, there were significant positive associations between trends in Twitter and publication activity for all gastroenterology topics (luminal gastroenterology: P=.009; hepatology and inflammatory bowel disease: P=.006; gastrointestinal endoscopy: P=.007), except pancreatology (P=.20), suggesting that Twitter activity did not correlate with publication activity for this topic. Finally, Twitter activity was the highest in the United States (7331 tweets), whereas PubMed activity was the highest in China (1768 publications). CONCLUSIONS: The COVID-19 pandemic has highlighted the potential of social media as a vehicle for disseminating scientific information during a public health crisis. Sharing and spreading information on COVID-19 in a timely manner during the pandemic has been paramount; this was achieved at a much faster pace on social media, particularly on Twitter. Future investigation could demonstrate how social media can be used to augment and promote scholarly activity, especially as the world begins to increasingly rely on digital or virtual platforms. Scientists and clinicians should consider the use of social media in augmenting public awareness regarding their scholarly pursuits.


Assuntos
COVID-19/epidemiologia , Disseminação de Informação , Pandemias , Pesquisa/estatística & dados numéricos , Pesquisa/tendências , Mídias Sociais/estatística & dados numéricos , Mídias Sociais/tendências , China/epidemiologia , Cuidados Críticos/estatística & dados numéricos , Cuidados Críticos/tendências , Humanos , Estudos Longitudinais , PubMed/estatística & dados numéricos , Saúde Pública , Pneumologia/estatística & dados numéricos , Pneumologia/tendências , SARS-CoV-2 , Fatores de Tempo , Estados Unidos/epidemiologia
15.
J Med Internet Res ; 23(5): e17917, 2021 05 12.
Artigo em Inglês | MEDLINE | ID: mdl-33978589

RESUMO

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.


Assuntos
COVID-19/epidemiologia , Mídias Sociais/estatística & dados numéricos , Promoção da Saúde , Humanos , Educação de Pacientes como Assunto , Saúde Pública/métodos , SARS-CoV-2/isolamento & purificação
16.
Sci Rep ; 11(1): 10424, 2021 05 17.
Artigo em Inglês | MEDLINE | ID: mdl-34001937

RESUMO

The global rise of COVID-19 health risk has triggered the related misinformation infodemic. We present the first analysis of COVID-19 misinformation networks and determine few of its implications. Firstly, we analyze the spread trends of COVID-19 misinformation and discover that the COVID-19 misinformation statistics are well fitted by a log-normal distribution. Secondly, we form misinformation networks by taking individual misinformation as a node and similarity between misinformation nodes as links, and we decipher the laws of COVID-19 misinformation network evolution: (1) We discover that misinformation evolves to optimize the network information transfer over time with the sacrifice of robustness. (2) We demonstrate the co-existence of fit get richer and rich get richer phenomena in misinformation networks. (3) We show that a misinformation network evolution with node deletion mechanism captures well the public attention shift on social media. Lastly, we present a network science inspired deep learning framework to accurately predict which Twitter posts are likely to become central nodes (i.e., high centrality) in a misinformation network from only one sentence without the need to know the whole network topology. With the network analysis and the central node prediction, we propose that if we correctly suppress certain central nodes in the misinformation network, the information transfer of network would be severely impacted.


Assuntos
COVID-19 , Comunicação , Mídias Sociais/estatística & dados numéricos , Humanos
17.
J Med Internet Res ; 23(6): e29036, 2021 06 15.
Artigo em Inglês | MEDLINE | ID: mdl-34048356

RESUMO

BACKGROUND: The COVID-19 pandemic has changed work life profoundly and concerns regarding the mental well-being of employees' have arisen. Organizations have made rapid digital advancements and have started to use new collaborative tools such as social media platforms overnight. OBJECTIVE: Our study aimed to investigate how professional social media communication has affected work engagement before and during the COVID-19 pandemic and the role of perceived social support, task resources, and psychological distress as predictors and moderators of work engagement. METHODS: Nationally representative longitudinal survey data were collected in 2019-2020, and 965 respondents participated in all 4 surveys. Measures included work engagement, perceived social support and task resources, and psychological distress. The data were analyzed using a hybrid linear regression model. RESULTS: Work engagement remained stable and only decreased in autumn 2020. Within-person changes in social media communication at work, social support, task resources, and psychological distress were all associated with work engagement. The negative association between psychological distress and work engagement was stronger in autumn 2020 than before the COVID-19 outbreak. CONCLUSIONS: The COVID-19 pandemic has exerted pressure on mental health at work. Fostering social support and task resources at work is important in maintaining work engagement. Social media communication could help maintain a supportive work environment.


Assuntos
COVID-19 , Pandemias , Mídias Sociais/estatística & dados numéricos , Engajamento no Trabalho , Adulto , COVID-19/epidemiologia , Surtos de Doenças , Feminino , Finlândia/epidemiologia , Seguimentos , Humanos , Estudos Longitudinais , Masculino , Saúde Mental/estatística & dados numéricos , Angústia Psicológica , Apoio Social , Local de Trabalho/psicologia
18.
J Med Internet Res ; 23(6): e27300, 2021 06 03.
Artigo em Inglês | MEDLINE | ID: mdl-33939620

RESUMO

BACKGROUND: As policy makers continue to shape the national and local responses to the COVID-19 pandemic, the information they choose to share and how they frame their content provide key insights into the public and health care systems. OBJECTIVE: We examined the language used by the members of the US House and Senate during the first 10 months of the COVID-19 pandemic and measured content and sentiment based on the tweets that they shared. METHODS: We used Quorum (Quorum Analytics Inc) to access more than 300,000 tweets posted by US legislators from January 1 to October 10, 2020. We used differential language analyses to compare the content and sentiment of tweets posted by legislators based on their party affiliation. RESULTS: We found that health care-related themes in Democratic legislators' tweets focused on racial disparities in care (odds ratio [OR] 2.24, 95% CI 2.22-2.27; P<.001), health care and insurance (OR 1.74, 95% CI 1.7-1.77; P<.001), COVID-19 testing (OR 1.15, 95% CI 1.12-1.19; P<.001), and public health guidelines (OR 1.25, 95% CI 1.22-1.29; P<.001). The dominant themes in the Republican legislators' discourse included vaccine development (OR 1.51, 95% CI 1.47-1.55; P<.001) and hospital resources and equipment (OR 1.22, 95% CI 1.18-1.25). Nonhealth care-related topics associated with a Democratic affiliation included protections for essential workers (OR 1.55, 95% CI 1.52-1.59), the 2020 election and voting (OR 1.31, 95% CI 1.27-1.35), unemployment and housing (OR 1.27, 95% CI 1.24-1.31), crime and racism (OR 1.22, 95% CI 1.18-1.26), public town halls (OR 1.2, 95% CI 1.16-1.23), the Trump Administration (OR 1.22, 95% CI 1.19-1.26), immigration (OR 1.16, 95% CI 1.12-1.19), and the loss of life (OR 1.38, 95% CI 1.35-1.42). The themes associated with the Republican affiliation included China (OR 1.89, 95% CI 1.85-1.92), small business assistance (OR 1.27, 95% CI 1.23-1.3), congressional relief bills (OR 1.23, 95% CI 1.2-1.27), press briefings (OR 1.22, 95% CI 1.19-1.26), and economic recovery (OR 1.2, 95% CI 1.16-1.23). CONCLUSIONS: Divergent language use on social media corresponds to the partisan divide in the first several months of the course of the COVID-19 public health crisis.


Assuntos
COVID-19/epidemiologia , COVID-19/psicologia , Comunicação em Saúde , Mídias Sociais/estatística & dados numéricos , Estudos Transversais , Humanos , Idioma , Pandemias , SARS-CoV-2/isolamento & purificação , Estados Unidos/epidemiologia
19.
J Med Internet Res ; 23(6): e26368, 2021 06 18.
Artigo em Inglês | MEDLINE | ID: mdl-34038375

RESUMO

BACKGROUND: The use of social big data is an important emerging concern in public health. Internet search volumes are useful data that can sensitively detect trends of the public's attention during a pandemic outbreak situation. OBJECTIVE: Our study aimed to analyze the public's interest in COVID-19 proliferation, identify the correlation between the proliferation of COVID-19 and interest in immunity and products that have been reported to confer an enhancement of immunity, and suggest measures for interventions that should be implemented from a health and medical point of view. METHODS: To assess the level of public interest in infectious diseases during the initial days of the COVID-19 outbreak, we extracted Google search data from January 20, 2020, onward and compared them to data from March 15, 2020, which was approximately 2 months after the COVID-19 outbreak began. In order to determine whether the public became interested in the immune system, we selected coronavirus, immune, and vitamin as our final search terms. RESULTS: The increase in the cumulative number of confirmed COVID-19 cases that occurred after January 20, 2020, had a strong positive correlation with the search volumes for the terms coronavirus (R=0.786; P<.001), immune (R=0.745; P<.001), and vitamin (R=0.778; P<.001), and the correlations between variables were all mutually statistically significant. Moreover, these correlations were confirmed on a country basis when we restricted our analyses to the United States, the United Kingdom, Italy, and Korea. Our findings revealed that increases in search volumes for the terms coronavirus and immune preceded the actual occurrences of confirmed cases. CONCLUSIONS: Our study shows that during the initial phase of the COVID-19 crisis, the public's desire and actions of strengthening their own immune systems were enhanced. Further, in the early stage of a pandemic, social media platforms have a high potential for informing the public about potentially helpful measures to prevent the spread of an infectious disease and provide relevant information about immunity, thereby increasing the public's knowledge.


Assuntos
Atenção , COVID-19/epidemiologia , COVID-19/imunologia , Pandemias , Ferramenta de Busca/tendências , Mídias Sociais/tendências , Surtos de Doenças , Humanos , Itália/epidemiologia , Saúde Pública/estatística & dados numéricos , Saúde Pública/tendências , República da Coreia/epidemiologia , SARS-CoV-2/imunologia , Ferramenta de Busca/estatística & dados numéricos , Mídias Sociais/estatística & dados numéricos , Reino Unido/epidemiologia , Estados Unidos/epidemiologia , Vitaminas/imunologia
20.
J Med Internet Res ; 23(5): e28118, 2021 05 12.
Artigo em Inglês | MEDLINE | ID: mdl-33939625

RESUMO

BACKGROUND: Acceptance rates of COVID-19 vaccines have still not reached the required threshold to achieve herd immunity. Understanding why some people are willing to be vaccinated and others are not is a critical step to develop efficient implementation strategies to promote COVID-19 vaccines. OBJECTIVE: We conducted a theory-based content analysis based on the capability, opportunity, motivation-behavior (COM-B) model to characterize the factors influencing behavioral intentions toward COVID-19 vaccines mentioned on the Twitter platform. METHODS: We collected tweets posted in English from November 1-22, 2020, using a combination of relevant keywords and hashtags. After excluding retweets, we randomly selected 5000 tweets for manual coding and content analysis. We performed a content analysis informed by the adapted COM-B model. RESULTS: Of the 5000 COVID-19 vaccine-related tweets that were coded, 4796 (95.9%) were posted by unique users. A total of 97 tweets carried positive behavioral intent, while 182 tweets contained negative behavioral intent. Of these, 28 tweets were mapped to capability factors, 155 tweets were related to motivation, 23 tweets were related to opportunities, and 74 tweets did not contain any useful information about the reasons for their behavioral intentions (κ=0.73). Some tweets mentioned two or more constructs at the same time. Tweets that were mapped to capability (P<.001), motivation (P<.001), and opportunity (P=.03) factors were more likely to indicate negative behavioral intentions. CONCLUSIONS: Most behavioral intentions regarding COVID-19 vaccines were related to the motivation construct. The themes identified in this study could be used to inform theory-based and evidence-based interventions to improve acceptance of COVID-19 vaccines.


Assuntos
Vacinas contra COVID-19/administração & dosagem , Mídias Sociais/estatística & dados numéricos , Vacinação/psicologia , Humanos , SARS-CoV-2/imunologia , SARS-CoV-2/isolamento & purificação
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