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2.
Artigo em Inglês | MEDLINE | ID: mdl-32967163

RESUMO

OBJECTIVE: Coronavirus disease 2019 (COVID-19) has caused substantial panic worldwide since its outbreak in December 2019. This study uses social networks to track the evolution of public emotion during COVID-19 in China and analyzes the root causes of these public emotions from an event-driven perspective. METHODS: A dataset was constructed using microblogs (n = 125,672) labeled with COVID-19-related super topics (n = 680) from 40,891 users from 1 December 2019 to 17 February 2020. Based on the skeleton and key change points of COVID-19 extracted from microblogging contents, we tracked the public's emotional evolution modes (accumulated emotions, emotion covariances, and emotion transitions) by time phase and further extracted the details of dominant social events. RESULTS: Public emotions showed different evolution modes during different phases of COVID-19. Events about the development of COVID-19 remained hot, but generally declined, and public attention shifted to other aspects of the epidemic (e.g., encouragement, support, and treatment). CONCLUSIONS: These findings suggest that the public's feedback on COVID-19 predated official accounts on the microblog platform. There were clear differences in the trending events that large users (users with many fans and readings) and common users paid attention to during each phase of COVID-19.


Assuntos
Blogging/estatística & dados numéricos , Infecções por Coronavirus/psicologia , Coronavirus , Emoções , Armazenamento e Recuperação da Informação/métodos , Pneumonia Viral/psicologia , Mídias Sociais/estatística & dados numéricos , Betacoronavirus , China , Infecções por Coronavirus/epidemiologia , Humanos , Pandemias , Pneumonia Viral/epidemiologia
3.
J Med Internet Res ; 22(9): e22767, 2020 09 25.
Artigo em Inglês | MEDLINE | ID: mdl-32924948

RESUMO

BACKGROUND: The perceived threat of a contagious virus may lead people to be distrustful of immigrants and out-groups. Since the COVID-19 outbreak, the salient politicized discourses of blaming Chinese people for spreading the virus have fueled over 2000 reports of anti-Asian racial incidents and hate crimes in the United States. OBJECTIVE: The study aims to investigate the relationships between news consumption, trust, intergroup contact, and prejudicial attitudes toward Asians and Asian Americans residing in the United States during the COVID-19 pandemic. We compare how traditional news, social media use, and biased news exposure cultivate racial attitudes, and the moderating role of media use and trust on prejudice against Asians is examined. METHODS: A cross-sectional study was completed in May 2020. A total of 430 US adults (mean age 36.75, SD 11.49 years; n=258, 60% male) participated in an online survey through Amazon's Mechanical Turk platform. Respondents answered questions related to traditional news exposure, social media use, perceived trust, and their top three news channels for staying informed about the novel coronavirus. In addition, intergroup contact and racial attitudes toward Asians were assessed. We performed hierarchical regression analyses to test the associations. Moderation effects were estimated using simple slopes testing with a 95% bootstrap confidence interval approach. RESULTS: Participants who identified as conservatives (ß=.08, P=.02), had a personal infection history (ß=.10, P=.004), and interacted with Asian people frequently in their daily lives (ß=.46, P<.001) reported more negative attitudes toward Asians after controlling for sociodemographic variables. Relying more on traditional news media (ß=.08, P=.04) and higher levels of trust in social media (ß=.13, P=.007) were positively associated with prejudice against Asians. In contrast, consuming news from left-leaning outlets (ß=-.15, P=.001) and neutral outlets (ß=-.13, P=.003) was linked to less prejudicial attitudes toward Asians. Among those who had high trust in social media, exposure had a negative relationship with prejudice. At high levels of trust in digital websites and apps, frequent use was related to less unfavorable attitudes toward Asians. CONCLUSIONS: Experiencing racial prejudice among the Asian population during a challenging pandemic can cause poor psychological outcomes and exacerbate health disparities. The results suggest that conservative ideology, personal infection history, frequency of intergroup contact, traditional news exposure, and trust in social media emerge as positive predictors of prejudice against Asians and Asian Americans, whereas people who get COVID-19 news from left-leaning and balanced outlets show less prejudice. For those who have more trust in social media and digital news, frequent use of these two sources is associated with lower levels of prejudice. Our findings highlight the need to reshape traditional news discourses and use social media and mobile news apps to develop credible messages for combating racial prejudice against Asians.


Assuntos
Americanos Asiáticos , Atitude , Infecções por Coronavirus/psicologia , Relações Interpessoais , Meios de Comunicação de Massa/estatística & dados numéricos , Pneumonia Viral/psicologia , Racismo/estatística & dados numéricos , Mídias Sociais/estatística & dados numéricos , Confiança , Adulto , Infecções por Coronavirus/epidemiologia , Estudos Transversais , Feminino , Humanos , Masculino , Pandemias , Pneumonia Viral/epidemiologia , Racismo/psicologia , Estados Unidos/epidemiologia
4.
PLoS One ; 15(9): e0238491, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32936804

RESUMO

As the most visible face of health expertise to the general public, health agencies have played a central role in alerting the public to the emerging COVID-19 threat, providing guidance for protective action, motivating compliance with health directives, and combating misinformation. Social media platforms such as Twitter have been a critical tool in this process, providing a communication channel that allows both rapid dissemination of messages to the public at large and individual-level engagement. Message dissemination and amplification is a necessary precursor to reaching audiences, both online and off, as well as inspiring action. Therefore, it is valuable for organizational risk communication to identify strategies and practices that may lead to increased message passing among online users. In this research, we examine message features shown in prior disasters to increase or decrease message retransmission under imminent threat conditions to develop models of official risk communicators' messages shared online from February 1, 2020-April 30, 2020. We develop a lexicon of keywords associated with risk communication about the pandemic response, then use automated coding to identify message content and message structural features. We conduct chi-square analyses and negative binomial regression modeling to identify the strategies used by official risk communicators that respectively increase and decrease message retransmission. Findings show systematic changes in message strategies over time and identify key features that affect message passing, both positively and negatively. These results have the potential to aid in message design strategies as the pandemic continues, or in similar future events.


Assuntos
Betacoronavirus , Doenças Transmissíveis Emergentes , Comunicação , Infecções por Coronavirus , Disseminação de Informação/métodos , Pandemias , Pneumonia Viral , Mídias Sociais , Distribuição de Qui-Quadrado , Emergências , Serviços Médicos de Emergência/organização & administração , Órgãos Governamentais , Humanos , Internet , Meios de Comunicação de Massa , Modelos Estatísticos , Modelos Teóricos , Administração em Saúde Pública , Gestão da Segurança , Mídias Sociais/estatística & dados numéricos
5.
PLoS One ; 15(9): e0238974, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32916691

RESUMO

Classified as a pandemic by the World Health Organization, the novel Coronavirus Disease (COVID-19) has spread to Bangladesh since early March of 2020, and people are getting daily updates from the social and electronic media. We aimed at assessing the prevalence of anxiety among Bangladeshi people during the pandemic in connection with social media exposure (SME) and electronic media exposure (EME). For this cross-sectional study, data were collected from 880 participants by a self-administered online-based questionnaire relating personal characteristics, self-rate health (SRH), SME, and EME with anxiety. Findings show that around half of the surveyed population experienced a spike of anxiety (49.1%) during the pandemic, ten times higher than the national anxiety rate in 2019. The participants with an increased SME of over four hours per day experienced a higher level of anxiety than individuals with < = 2 hours exposure to social media. Similarly, the anxiety was higher among people with fair/bad SRH compared to individuals with excellent SRH. It is highly recommended to develop active surveillance and effective monitoring systems to reduce the spread of misinformation from both social and electronic media to improve the state of mental health conditions during the pandemic.


Assuntos
Transtornos de Ansiedade/epidemiologia , Infecções por Coronavirus/epidemiologia , Pneumonia Viral/epidemiologia , Mídias Sociais/estatística & dados numéricos , Adolescente , Adulto , Bangladesh , Infecções por Coronavirus/psicologia , Feminino , Humanos , Comportamento Impulsivo , Masculino , Pandemias , Pneumonia Viral/psicologia
6.
PLoS One ; 15(9): e0238414, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32881933

RESUMO

In the face of the rapid evolution of the COVID-19 pandemic, healthcare professionals on the frontline are in urgent need of frequent updates in the accomplishment of their practice. Hence, clinicians started to search for prompt, valid information on sources that are parallel to academic journals. Aim of this work is to investigate the extent of this phenomenon. We administered an anonymous online cross-sectional survey to 645 Italian clinicians. Target of the survey were all medical figures potentially involved in the management of COVID-19 cases. 369 questionnaires were returned. 19.5% (n = 72) of respondents were younger than 30 years-old; 49,3% (n = 182) worked in Infectious Diseases, Internal Medicine or Respiratory Medicine departments, 11.5% (n = 42) in Intensive Care Unit and 7.4% (n = 27) were general practitioner. 70% (n = 261) of respondents reported that their use of social media to seek medical information increased during the pandemic. 39.3% (n = 145) consistently consulted Facebook groups and 53.1% (n = 196) Whatsapp chats. 47% (n = 174) of respondents reported that information shared on social media had a consistent impact on their daily practice. In the present study, we found no difference in social media usage between age groups or medical specialties. Given the urgent need for scientific update during the present pandemic, these findings may help understanding how clinicians access new evidences and implement them in their daily practice.


Assuntos
Infecções por Coronavirus/epidemiologia , Troca de Informação em Saúde/estatística & dados numéricos , Pessoal de Saúde/estatística & dados numéricos , Disseminação de Informação , Pneumonia Viral/epidemiologia , Mídias Sociais/estatística & dados numéricos , Adulto , Fatores Etários , Idoso , Infecções por Coronavirus/psicologia , Difusão de Inovações , Feminino , Pessoal de Saúde/psicologia , Humanos , Itália , Masculino , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/psicologia
8.
JCO Glob Oncol ; 6: 1306-1311, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32795195

RESUMO

PURPOSE: The rapid dissemination of information through social media renders a profound lens to evaluate perceptions of emerging topics, especially in the context of a global pandemic. The primary objective of this cross-sectional study was to elucidate trends on social media in the setting of surgical cancer care affected by the COVID-19 pandemic across the globe. METHODS: A public search of Twitter from April 1 to 30, 2020, was conducted, which yielded 996 posts related to COVID-19 and cancer. Two authors (E.J.K. and H.S.) individually reviewed all posts and recorded the post category, engagement, author category, and geographic location. Data were then analyzed through descriptive analyses. Only English-language posts were included, and any noncancer- or non-COVID-related posts were excluded from the analysis. RESULTS: A total of 734 unique authors from 26 different countries wrote 996 relevant posts that averaged 12.0 likes, 4.7 retweets, and 0.5 hashtags per post. Only 2.3% (23 of 996) of posts included a video. Authors of the included tweets most frequently were friends and families of patients (183; 18.4%), academic institutions or organizations (182; 18.3%), and physicians (138; 13.9%). Topics of importance were cancellations of surgeries (299; 40.1%), COVID-19 education (211; 121.2%), and research studies (93; 9.3%). The United Kingdom and the United States made up 81.5% of the cohort, followed by Canada (6.6%) and India (2.4%). Of posts where a specific type of surgery was identified (196), the most common type mentioned was breast cancer (50; 25.5%), followed by lung cancer (37; 18.9%) and urologic cancer (22; 11.2%). CONCLUSION: This analysis provides insight into the resulting impacts of COVID-19 on the global discussion of surgical cancer care.


Assuntos
Betacoronavirus , Infecções por Coronavirus , Neoplasias/cirurgia , Pandemias , Pneumonia Viral , Mídias Sociais , Academias e Institutos/estatística & dados numéricos , Estudos Transversais , Família , Humanos , Percepção , Mídias Sociais/estatística & dados numéricos
9.
PLoS One ; 15(8): e0235150, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32845882

RESUMO

INTRODUCTION: From late 2014 through 2015, Scott County, Indiana faced an HIV outbreak triggered by opioid abuse and transition to injection drug use. Investigating the origins, risk factors, and responses related to this outbreak is critical to inform future surveillance, interventions, and policymaking. In response, this retrospective infoveillance study identifies and characterizes user-generated messages related to opioid abuse, heroin injection drug use, and HIV status using natural language processing (NLP) among Twitter users in Indiana during the period of this HIV outbreak. MATERIALS AND METHODS: Our study consisted of two phases: data collection and processing, and data analysis. We collected Indiana geolocated tweets from the public Twitter API using Amazon Web Services EC2 instances filtered for geocoded messages in the immediate pre and post period of the outbreak. In the data analysis phase we applied an unsupervised machine learning approach using NLP called the Biterm Topic Model (BTM) to identify tweets related to opioid, heroin/injection, and HIV behavior and then examined these messages for HIV risk-related topics that could be associated with the outbreak. RESULTS: More than 10 million geocoded tweets occurring in Indiana during the immediate pre and post period of the outbreak were collected for analysis. Using BTM, we identified 1350 tweets thought to be relevant to the outbreak and then confirmed 358 tweets using human annotation. The most prevalent themes identified were tweets related to self-reported abuse of illicit and prescription drugs, opioid use disorder, self-reported HIV status, and public sentiment regarding the outbreak. Geospatial analysis found that these messages clustered in population dense areas outside of the outbreak, including Indianapolis and neighboring Clark County. DISCUSSION: This infoveillance study characterized the social media conversations of communities in Indiana in the pre and post period of the 2015 HIV outbreak. Behavioral themes detected reflect discussion about risk factors related to HIV transmission stemming from opioid and heroin abuse for priority populations, and also help identify community attitudes that could have motivated or detracted the use of HIV prevention methods, along with helping identify factors that can impede access to prevention services. CONCLUSIONS: Infoveillance approaches, such as the analysis conducted in this study, represent a possibly strategy to detect "signal" of the emergence of risk factors associated with an outbreak though may be limited in their scope and generalizability. Our results, in conjunction with other forms of public health surveillance, can leverage the growing ubiquity of social media platforms to better detect opioid-related HIV risk knowledge, attitudes and behavior, as well as inform future prevention efforts.


Assuntos
Surtos de Doenças/estatística & dados numéricos , Infecções por HIV/epidemiologia , Mídias Sociais/estatística & dados numéricos , Humanos , Indiana , Vigilância em Saúde Pública
10.
J Med Internet Res ; 22(9): e20955, 2020 09 11.
Artigo em Inglês | MEDLINE | ID: mdl-32788143

RESUMO

BACKGROUND: The COVID-19 pandemic has potentially had a negative impact on the mental health and well-being of individuals and families. Anxiety levels and risk factors within particular populations are poorly described. OBJECTIVE: This study aims to evaluate confidence, understanding, trust, concerns, and levels of anxiety during the COVID-19 pandemic in the general population and assess risk factors for increased anxiety. METHODS: We launched a cross-sectional online survey of a large Russian population between April 6 and 15, 2020, using multiple social media platforms. A set of questions targeted confidence, understanding, trust, and concerns in respondents. The State-Trait Anxiety Inventory was used to measure anxiety. Multiple linear regressions were used to model predictors of COVID-19-related anxiety. RESULTS: The survey was completed by 23,756 out of 53,966 (44.0% response rate) unique visitors; of which, 21,364 were residing in 62 areas of Russia. State Anxiety Scale (S-Anxiety) scores were higher than Trait Anxiety Scale scores across all regions of Russia (median S-Anxiety score 52, IQR 44-60), exceeding published norms. Time spent following news on COVID-19 was strongly associated with an increased S-Anxiety adjusted for baseline anxiety level. One to two hours spent reading COVID-19 news was associated with a 5.46 (95% CI 5.03-5.90) point difference, 2-3 hours with a 7.06 (95% CI 6.37-7.74) point difference, and more than three hours with an 8.65 (95% CI 7.82-9.47) point difference, all compared to less than 30 minutes per day. Job loss during the pandemic was another important factor associated with higher S-Anxiety scores (3.95, 95% CI 3.31-4.58). Despite survey respondents reporting high confidence in information regarding COVID-19 as well as an understanding of health care guidance, they reported low overall trust in state and local authorities, and perception of country readiness. CONCLUSIONS: Among Russian respondents from multiple social media platforms, there was evidence of higher levels of state anxiety associated with recent job loss and increased news consumption, as well as lower than expected trust in government agencies. These findings can help inform the development of key public health messages to help reduce anxiety and raise perceived trust in governmental response to this current national emergency. Using a similar methodology, comparative surveys are ongoing in other national populations.


Assuntos
Ansiedade/epidemiologia , Betacoronavirus , Infecções por Coronavirus/psicologia , Saúde Mental , Pandemias , Pneumonia Viral/psicologia , Mídias Sociais/estatística & dados numéricos , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Ansiedade/etiologia , Estudos Transversais , Feminino , Inquéritos Epidemiológicos , Humanos , Modelos Lineares , Pessoa de Meia-Idade , Saúde Pública , Fatores de Risco , Federação Russa/epidemiologia , Adulto Jovem
11.
J Med Internet Res ; 22(9): e19338, 2020 09 01.
Artigo em Inglês | MEDLINE | ID: mdl-32790642

RESUMO

BACKGROUND: The first case of COVID-19 in Saudi Arabia was confirmed on March 3, 2020. Saudi Arabia, like many other countries worldwide, implemented lockdown of most public and private services in response to the pandemic and established population movement restrictions nationwide. With the implementation of these strict mitigation regulations, technology and digital solutions have enabled the provision of essential services. OBJECTIVE: The aim of this paper is to highlight how Saudi Arabia has used digital technology during the COVID-19 pandemic in the domains of public health, health care services, education, telecommunication, commerce, and risk communication. METHODS: We documented the use of digital technology in Saudi Arabia during the pandemic using publicly available official announcements, press briefings and releases, news clips, published data, peer-reviewed literature, and professional discussions. RESULTS: Saudi Arabia's government and private sectors combined developed and launched approximately 19 apps and platforms that serve public health functions and provide health care services. A detailed account of each is provided. Education processes continued using an established electronic learning infrastructure with a promising direction toward wider adoption in the future. Telecommunication companies exhibited smooth collaboration as well as innovative initiatives to support ongoing efforts. Risk communication activities using social media, websites, and SMS text messaging followed best practice guides. CONCLUSIONS: The Saudi Vision 2030 framework, released in 2017, has paved the path for digital transformation. COVID-19 enabled the promotion and testing of this transition. In Saudi Arabia, the use of artificial intelligence in integrating different data sources during future outbreaks could be further explored. Also, decreasing the number of mobile apps and merging their functions could increase and facilitate their use.


Assuntos
Inteligência Artificial , Infecções por Coronavirus/epidemiologia , Educação em Saúde/métodos , Aplicativos Móveis/provisão & distribução , Pandemias , Pneumonia Viral/epidemiologia , Saúde Pública/métodos , Mídias Sociais/estatística & dados numéricos , Humanos , Arábia Saudita/epidemiologia
12.
J Med Internet Res ; 22(8): e22590, 2020 08 18.
Artigo em Inglês | MEDLINE | ID: mdl-32750001

RESUMO

BACKGROUND: The coronavirus disease (COVID-19) pandemic led to substantial public discussion. Understanding these discussions can help institutions, governments, and individuals navigate the pandemic. OBJECTIVE: The aim of this study is to analyze discussions on Twitter related to COVID-19 and to investigate the sentiments toward COVID-19. METHODS: This study applied machine learning methods in the field of artificial intelligence to analyze data collected from Twitter. Using tweets originating exclusively in the United States and written in English during the 1-month period from March 20 to April 19, 2020, the study examined COVID-19-related discussions. Social network and sentiment analyses were also conducted to determine the social network of dominant topics and whether the tweets expressed positive, neutral, or negative sentiments. Geographic analysis of the tweets was also conducted. RESULTS: There were a total of 14,180,603 likes, 863,411 replies, 3,087,812 retweets, and 641,381 mentions in tweets during the study timeframe. Out of 902,138 tweets analyzed, sentiment analysis classified 434,254 (48.2%) tweets as having a positive sentiment, 187,042 (20.7%) as neutral, and 280,842 (31.1%) as negative. The study identified 5 dominant themes among COVID-19-related tweets: health care environment, emotional support, business economy, social change, and psychological stress. Alaska, Wyoming, New Mexico, Pennsylvania, and Florida were the states expressing the most negative sentiment while Vermont, North Dakota, Utah, Colorado, Tennessee, and North Carolina conveyed the most positive sentiment. CONCLUSIONS: This study identified 5 prevalent themes of COVID-19 discussion with sentiments ranging from positive to negative. These themes and sentiments can clarify the public's response to COVID-19 and help officials navigate the pandemic.


Assuntos
Infecções por Coronavirus/economia , Infecções por Coronavirus/psicologia , Coleta de Dados , Aprendizado de Máquina , Pandemias/economia , Pneumonia Viral/economia , Pneumonia Viral/psicologia , Opinião Pública , Mídias Sociais/estatística & dados numéricos , Infecções por Coronavirus/epidemiologia , Humanos , Pneumonia Viral/epidemiologia , Estados Unidos/epidemiologia
13.
Proc Natl Acad Sci U S A ; 117(33): 19837-19843, 2020 08 18.
Artigo em Inglês | MEDLINE | ID: mdl-32732433

RESUMO

Social distancing is the core policy response to coronavirus disease 2019 (COVID-19). But, as federal, state and local governments begin opening businesses and relaxing shelter-in-place orders worldwide, we lack quantitative evidence on how policies in one region affect mobility and social distancing in other regions and the consequences of uncoordinated regional policies adopted in the presence of such spillovers. To investigate this concern, we combined daily, county-level data on shelter-in-place policies with movement data from over 27 million mobile devices, social network connections among over 220 million Facebook users, daily temperature and precipitation data from 62,000 weather stations, and county-level census data on population demographics to estimate the geographic and social network spillovers created by regional policies across the United States. Our analysis shows that the contact patterns of people in a given region are significantly influenced by the policies and behaviors of people in other, sometimes distant, regions. When just one-third of a state's social and geographic peer states adopt shelter-in-place policies, it creates a reduction in mobility equal to the state's own policy decisions. These spillovers are mediated by peer travel and distancing behaviors in those states. A simple analytical model calibrated with our empirical estimates demonstrated that the "loss from anarchy" in uncoordinated state policies is increasing in the number of noncooperating states and the size of social and geographic spillovers. These results suggest a substantial cost of uncoordinated government responses to COVID-19 when people, ideas, and media move across borders.


Assuntos
Infecções por Coronavirus/prevenção & controle , Análise Custo-Benefício , Eficiência Organizacional , Modelos Logísticos , Pandemias/prevenção & controle , Pneumonia Viral/prevenção & controle , Quarentena/organização & administração , Infecções por Coronavirus/economia , Demografia/estatística & dados numéricos , Humanos , Pandemias/economia , Pneumonia Viral/economia , Quarentena/economia , Quarentena/métodos , Distância Social , Mídias Sociais/estatística & dados numéricos , Transportes/estatística & dados numéricos , Estados Unidos
14.
Artigo em Inglês | MEDLINE | ID: mdl-32781727

RESUMO

COVID-19 is lasting longer than expected, which has a huge impact on the economy and on personal life. Each country has a different response method, and the damage scale is also distinct. This study aims to find out how COVID-19-related news was handled in the domestic media to seek ways to minimize the pandemic. The paper focuses on the number of news features by period and by disaster and analyzes related words based on big data. The results of the analysis are as follows. First, in the initial response phase, keywords to identify accurate sources of actual broadcast contents, fake news, social networking service (SNS), etc. were also ranked in the top 20. Second, in the active response phase, when the number of confirmed persons and the government's countermeasures were announced, more than 100 COVID-19-related articles were issued, and the related words increased rapidly from the initial response stage. Therefore, the fact that COVID-19 has been expressed as a keyword indicates that our society is watching with great interest in the government's response to the disease.


Assuntos
Big Data , Meios de Comunicação/estatística & dados numéricos , Infecções por Coronavirus/epidemiologia , Pneumonia Viral/epidemiologia , Betacoronavirus , Governo , Humanos , Meios de Comunicação de Massa/estatística & dados numéricos , Pandemias , Mídias Sociais/estatística & dados numéricos
15.
Plast Reconstr Surg ; 146(2): 413-422, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32740599

RESUMO

BACKGROUND: As social media have become pervasive in contemporary society, plastic surgery content has become commonplace. Two of the most engaging and popular platforms are Instagram and Twitter, and much research has been performed with respect to Twitter. Currently, there are no studies comparing and contrasting the two platforms. The aim of this study was to robustly sample plastic surgery posts on Twitter and Instagram to quantitatively and qualitatively evaluate platform content differences. METHODS: The hashtag #PlasticSurgery was systematically queried twice per day, for 30 consecutive days, on Twitter and Instagram. Account type, specific media content, possible patient-identifying information, content analysis, and post engagement were assessed. Post volume and engagement between Instagram and Twitter posts were compared. Post characteristics garnering high engagement from each platform were also evaluated. RESULTS: A total of 3867 Twitter posts and 5098 Instagram posts were included in this analysis. Daily total post volume for the 1-month duration of the study was significantly higher on Instagram compared with Twitter. Overall post engagement was significantly higher on Instagram compared with Twitter. Plastic surgeons and plastic surgery clinics represented the majority of accounts posting on both platforms with #PlasticSurgery. Identifiable patient features were much more prevalent on Instagram. The majority of Instagram posts were promotional in nature, outcome-based, or unrelated to plastic surgery. Alternatively, tweets were predominantly educational in nature. CONCLUSIONS: For physicians to harness the power of social media in plastic surgery, we need to understand how these media are currently being used and how different platforms compare to one another. This study has highlighted the inherent similarities and differences between these two highly popular platforms.


Assuntos
Marketing de Serviços de Saúde/estatística & dados numéricos , Procedimentos Cirúrgicos Reconstrutivos/economia , Mídias Sociais/estatística & dados numéricos , Cirurgiões/estatística & dados numéricos , Estudos Transversais , Humanos , Marketing de Serviços de Saúde/métodos , Preferência do Paciente , Estudos Prospectivos , Mídias Sociais/economia , Cirurgiões/economia
16.
JMIR Public Health Surveill ; 6(3): e20794, 2020 08 25.
Artigo em Inglês | MEDLINE | ID: mdl-32750006

RESUMO

BACKGROUND: The coronavirus disease (COVID-19) pandemic is perhaps the greatest global health challenge of the last century. Accompanying this pandemic is a parallel "infodemic," including the online marketing and sale of unapproved, illegal, and counterfeit COVID-19 health products including testing kits, treatments, and other questionable "cures." Enabling the proliferation of this content is the growing ubiquity of internet-based technologies, including popular social media platforms that now have billions of global users. OBJECTIVE: This study aims to collect, analyze, identify, and enable reporting of suspected fake, counterfeit, and unapproved COVID-19-related health care products from Twitter and Instagram. METHODS: This study is conducted in two phases beginning with the collection of COVID-19-related Twitter and Instagram posts using a combination of web scraping on Instagram and filtering the public streaming Twitter application programming interface for keywords associated with suspect marketing and sale of COVID-19 products. The second phase involved data analysis using natural language processing (NLP) and deep learning to identify potential sellers that were then manually annotated for characteristics of interest. We also visualized illegal selling posts on a customized data dashboard to enable public health intelligence. RESULTS: We collected a total of 6,029,323 tweets and 204,597 Instagram posts filtered for terms associated with suspect marketing and sale of COVID-19 health products from March to April for Twitter and February to May for Instagram. After applying our NLP and deep learning approaches, we identified 1271 tweets and 596 Instagram posts associated with questionable sales of COVID-19-related products. Generally, product introduction came in two waves, with the first consisting of questionable immunity-boosting treatments and a second involving suspect testing kits. We also detected a low volume of pharmaceuticals that have not been approved for COVID-19 treatment. Other major themes detected included products offered in different languages, various claims of product credibility, completely unsubstantiated products, unapproved testing modalities, and different payment and seller contact methods. CONCLUSIONS: Results from this study provide initial insight into one front of the "infodemic" fight against COVID-19 by characterizing what types of health products, selling claims, and types of sellers were active on two popular social media platforms at earlier stages of the pandemic. This cybercrime challenge is likely to continue as the pandemic progresses and more people seek access to COVID-19 testing and treatment. This data intelligence can help public health agencies, regulatory authorities, legitimate manufacturers, and technology platforms better remove and prevent this content from harming the public.


Assuntos
Comércio/legislação & jurisprudência , Infecções por Coronavirus/prevenção & controle , Fraude/estatística & dados numéricos , Marketing/legislação & jurisprudência , Pandemias/prevenção & controle , Pneumonia Viral/prevenção & controle , Mídias Sociais/estatística & dados numéricos , Big Data , Infecções por Coronavirus/epidemiologia , Aprendizado Profundo , Humanos , Processamento de Linguagem Natural , Pneumonia Viral/epidemiologia , Estados Unidos/epidemiologia
17.
Artigo em Inglês | MEDLINE | ID: mdl-32698481

RESUMO

Providing health services through remote communications for sub-acute health issues during emergencies may help reduce the burden of the health care system and increase availability of care. This study aimed to investigate the attitudes of the public towards receiving medical services and providing medical information through remote communication in times of emergencies. During the pandemic outbreak of the novel coronavirus (COVID-19), pandemic outbreak, 507 participants answered a structured online survey, rating their mean willingness to receive medical care and provide medical information, on a four-point Likert scale. Furthermore, demographic characteristics, social media use, and trust in data protection was collected. The mean willingness to receive medical services was 3.1 ± 0.6 and the mean willingness to provide medical information was 3.0 ± 0.7, with a strong significant correlation between the two (r = 0.76). The multiple regression model identified higher trust in data protection, level of education, and social media use as statistically significant predictors for a higher willingness to receive medical information while the first two predicted willingness to provide information. The findings suggest an overall positive attitude to receive medical care through remote communications.


Assuntos
Atitude Frente a Saúde , Betacoronavirus/isolamento & purificação , Comunicação , Infecções por Coronavirus/epidemiologia , Emergências , Pandemias , Relações Médico-Paciente , Pneumonia Viral/epidemiologia , Infecções por Coronavirus/virologia , Surtos de Doenças , Humanos , Pneumonia Viral/virologia , Mídias Sociais/estatística & dados numéricos , Inquéritos e Questionários , Confiança
18.
J Med Internet Res ; 22(8): e20186, 2020 08 06.
Artigo em Inglês | MEDLINE | ID: mdl-32701459

RESUMO

BACKGROUND: Social and physical distancing in response to the coronavirus disease (COVID-19) pandemic has made screen-mediated information and communication technologies (media) indispensable. Whether an increase in screen use is a source of or a relief for stress remains to be seen. OBJECTIVE: In the immediate aftermath of the COVID-19 lockdowns, we investigated the relation between subjective stress and changes in the pattern of media use. Based on Lazarus's transactional model of appraisal and coping, and building on an earlier similar survey, we hypothesize that individual differences in the appraisal of media predict variations in approach or avoidance of media for coping with COVID-19 stress. METHODS: Between March 20 and April 20, 2020, a brief snowball survey entitled: "What media helps, what media hurts: coping with COVID19 through screens" was distributed via Concordia University's mailing lists and social media (PERFORM Centre, EngAGE Centre, and Media Health Lab). Using a media repertoire method, we asked questions about preferences, changes in use, and personal appraisal of media experiences (approach, avoid, and ignore) as a result of the COVID-19 pandemic and investigated interindividual differences in media use by factors such as subjective stress, age, gender, and self-reported mental health. RESULTS: More than 90% of the survey respondents were in Canada and the east coast of the United States. From 685 completed responses, 169 respondents were "very stressed" and 452 were "slightly worried" about the pandemic. COVID-19 stress led to increased use of Facebook (χ23=11.76, P=.008), television (χ23=12.40, P=.006), YouTube (χ23=8.577, P=.04), and streaming services such as Netflix (χ23=10.71, P=.01). Respondents who considered their mental health "not good" were twice as likely to prefer streaming services as a coping tool for self-isolation. Women and nonbinary respondents were twice as likely than men to pick social media for coping. Individuals younger than 35 years were 3 times more likely to pick computer games, and individuals older than 55 years were more likely to pick network television or print media. Gender affected the appraisal of media (less in men than others) in terms of avoid (F1,637=5.84, P=.02) and approach scores (F1,637=14.31, P<.001). Subjective mental health affected the ignore score (less in those who said "good" than others; F1,637=13.88, P<.001). The appraisal score and use increase explained variations in worrying about physical and mental health stress due to increased screen time. A qualitative analysis of open-ended questions revealed that media (especially social networks) were important for coping if they provided support and connection through the dissemination of factual and positive information while avoiding the overflow of sensational and false news. CONCLUSIONS: The relationship between appraisal of media's positive and negative facets vary with demographic differences in mental health resiliency. The media repertoire approach is an important tool in studies that focus on assessing the benefits and harms of screen overuse in different populations, especially in the context of the COVID-19 pandemic.


Assuntos
Adaptação Psicológica , Infecções por Coronavirus/epidemiologia , Meios de Comunicação de Massa/estatística & dados numéricos , Saúde Mental/estatística & dados numéricos , Modelos Psicológicos , Pneumonia Viral/epidemiologia , Mídias Sociais/estatística & dados numéricos , Inquéritos e Questionários , Adulto , Betacoronavirus , Exercício Físico/psicologia , Feminino , Mapeamento Geográfico , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Tempo de Tela , Rede Social , Televisão/estatística & dados numéricos , Jogos de Vídeo/estatística & dados numéricos , Adulto Jovem
19.
Rev Bras Enferm ; 73 Suppl 2: e20200225, 2020.
Artigo em Português, Inglês | MEDLINE | ID: mdl-32667579

RESUMO

OBJECTIVE: to know and analyze the nursing appeals on social media during the COVID-19 pandemic. METHOD: it is a documentary, qualitative, descriptive, and exploratory research with data collected in publications in two social media. Two hundred ninety-five publications of nursing professionals published on Twitter and Instagram between March 11 and 20, 2020 were submitted to content analysis using ATLAS.ti resources. RESULTS: four thematic categories emerged: #stayathome, #whereismyPPE, #nowweareheroes, #nothingnewinthefrontline, according to frequency of communications. The appeals show a relationship with the social relevance of nursing professional work and with the conditions required for its exercise. Final considerations: old and new challenges of the profession were placed on the agenda in social media, especially related to the workforce and instruments of labor. These speeches can serve as a foundation for policies to improve working conditions and promote appreciation of the profession.


Assuntos
Infecções por Coronavirus/enfermagem , Recursos Humanos de Enfermagem/provisão & distribução , Recursos Humanos de Enfermagem/estatística & dados numéricos , Seleção de Pessoal/métodos , Seleção de Pessoal/estatística & dados numéricos , Pneumonia Viral/enfermagem , Mídias Sociais/estatística & dados numéricos , Recursos Humanos/estatística & dados numéricos , Adulto , Betacoronavirus , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias
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