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1.
Disaster Med Public Health Prep ; : 1-11, 2020 Jul 27.
Artículo en Inglés | MEDLINE | ID: mdl-32713384

RESUMEN

The coronavirus disease 2019 (COVID-19) pandemic prompted universities across the United States to close campuses in Spring 2020. Universities are deliberating whether, when, and how they should resume in-person instruction in Fall 2020. In this essay, we discuss some practical considerations for the use of two potentially useful control strategies based on testing: 1) SARS-CoV-2 RT-PCR testing followed by case-patient isolation and quarantine of close contacts, and 2) serological testing followed by an "immune shield" approach; i.e., low social distancing requirements for seropositive persons. The isolation of case-patients and quarantine of close contacts may be especially challenging, and perhaps prohibitively difficult, on many university campuses. The "immune shield" strategy might be hobbled by a low positive predictive value of the tests used in populations with low seroprevalence. Both strategies carry logistical, ethical and financial implications. The main non-pharmaceutical interventions will remain methods based on social distancing (e.g., capping class size) and personal protective behaviors (e.g., universal facemask wearing in public space) until vaccines become available, or unless the issues discussed herein can be resolved in such a way that using mass testing as main control strategies becomes viable.

2.
Disaster Med Public Health Prep ; : 1-2, 2020 May 22.
Artículo en Inglés | MEDLINE | ID: mdl-32438943

RESUMEN

We investigated the adoption of World Health Organization (WHO) naming of COVID-19 into the respective languages among the Group of Twenty (G20) countries, and the variation of COVID-19 naming in the Chinese language across different health authorities. On May 7, 2020, we identified the websites of the national health authorities of the G20 countries to identify naming of COVID-19 in their respective languages, and the websites of the health authorities in mainland China, Hong Kong, Macau, Taiwan and Singapore and identify their Chinese name for COVID-19. Among the G20 nations, Argentina, China, Italy, Japan, Mexico, Saudi Arabia and Turkey do not use the literal translation of COVID-19 in their official language(s) to refer to COVID-19, as they retain "novel" in the naming of this disease. China is the only G20 nation that names COVID-19 a pneumonia. Among Chinese-speaking jurisdictions, Hong Kong and Singapore governments follow the WHO's recommendation and adopt the literal translation of COVID-19 in Chinese. In contrast, mainland China, Macau, and Taiwan refer to COVID-19 as a type of pneumonia in Chinese. We urge health authorities worldwide to adopt naming in their native languages that are consistent with WHO's naming of COVID-19.

3.
Disaster Med Public Health Prep ; : 1-5, 2020 May 14.
Artículo en Inglés | MEDLINE | ID: mdl-32406359

RESUMEN

OBJECTIVES: To aid emergency response, Centers for Disease Control and Prevention (CDC) researchers monitor unplanned school closures (USCs) by conducting online systematic searches (OSS) to identify relevant publicly available reports. We examined the added utility of analyzing Twitter data to improve USC monitoring. METHODS: Georgia public school data were obtained from the National Center for Education Statistics. We identified school and district Twitter accounts with 1 or more tweets ever posted ("active"), and their USC-related tweets in the 2015-16 and 2016-17 school years. CDC researchers provided OSS-identified USC reports. Descriptive statistics, univariate, and multivariable logistic regression were computed. RESULTS: A majority (1,864/2,299) of Georgia public schools had, or were in a district with, active Twitter accounts in 2017. Among these schools, 638 were identified with USCs in 2015-16 (Twitter only, 222; OSS only, 2015; both, 201) and 981 in 2016-17 (Twitter only, 178; OSS only, 107; both, 696). The marginal benefit of adding Twitter as a data source was an increase in the number of schools identified with USCs by 53% (222/416) in 2015-16 and 22% (178/803) in 2016-17. CONCLUSIONS: Policy-makers may wish to consider the potential value of incorporating Twitter into existing USC monitoring systems.

5.
Emerg Infect Dis ; 26(8): 1912-1914, 2020 08.
Artículo en Inglés | MEDLINE | ID: mdl-32330410

RESUMEN

In China, the doubling time of the coronavirus disease epidemic by province increased during January 20-February 9, 2020. Doubling time estimates ranged from 1.4 (95% CI 1.2-2.0) days for Hunan Province to 3.1 (95% CI 2.1-4.8) days for Xinjiang Province. The estimate for Hubei Province was 2.5 (95% CI 2.4-2.6) days.


Asunto(s)
Betacoronavirus/crecimiento & desarrollo , Infecciones por Coronavirus/epidemiología , Infecciones por Coronavirus/transmisión , Pandemias , Neumonía Viral/epidemiología , Neumonía Viral/transmisión , Betacoronavirus/patogenicidad , China/epidemiología , Técnicas de Laboratorio Clínico/métodos , Infecciones por Coronavirus/diagnóstico , Infecciones por Coronavirus/virología , Geografía , Humanos , Incidencia , Neumonía Viral/diagnóstico , Neumonía Viral/virología , Factores de Tiempo
6.
Disaster Med Public Health Prep ; : 1-4, 2020 Apr 03.
Artículo en Inglés | MEDLINE | ID: mdl-32241328

RESUMEN

OBJECTIVE: Awareness and attentiveness have implications for the acceptance and adoption of disease prevention and control measures. Social media posts provide a record of the public's attention to an outbreak. To measure the attention of Chinese netizens to coronavirus disease 2019 (COVID-19), a pre-established nationally representative cohort of Weibo users was searched for COVID-19-related key words in their posts. METHODS: COVID-19-related posts (N = 1101) were retrieved from a longitudinal cohort of 52 268 randomly sampled Weibo accounts (December 31, 2019-February 12, 2020). RESULTS: Attention to COVID-19 was limited prior to China openly acknowledging human-to-human transmission on January 20. Following this date, attention quickly increased and has remained high over time. Particularly high levels of social media traffic appeared around when Wuhan was first placed in quarantine (January 23-24, 8-9% of the overall posts), when a scandal associated with the Red Cross Society of China occurred (February 1, 8%), and, following the death of Dr Li Wenliang (February 6-7, 11%), one of the whistleblowers who was reprimanded by the Chinese police in early January for discussing this outbreak online. CONCLUSION: Limited early warnings represent missed opportunities to engage citizens earlier in the outbreak. Governments should more proactively communicate early warnings to the public in a transparent manner.

7.
Disaster Med Public Health Prep ; 14(1): 139-149, 2020 02.
Artículo en Inglés | MEDLINE | ID: mdl-32148219

RESUMEN

Social media research during natural disasters has been presented as a tool to guide response and relief efforts in the disciplines of geography and computer sciences. This systematic review highlights the public health implications of social media use in the response phase of the emergency, assessing (1) how social media can improve the dissemination of emergency warning and response information during and after a natural disaster, and (2) how social media can help identify physical, medical, functional, and emotional needs after a natural disaster. We surveyed the literature using 3 databases and included 44 research articles. We found that analyses of social media data were performed using a wide range of spatiotemporal scales. Social media platforms were identified as broadcasting tools presenting an opportunity for public health agencies to share emergency warnings. Social media was used as a tool to identify areas in need of relief operations or medical assistance by using self-reported location, with map development as a common method to visualize data. In retrospective analyses, social media analysis showed promise as an opportunity to reduce the time of response and to identify the individuals' location. Further research for misinformation and rumor control using social media is needed.

8.
Perm J ; 232019.
Artículo en Inglés | MEDLINE | ID: mdl-31314733

RESUMEN

INTRODUCTION: Twitter and media coverage on poliomyelitis help maintain global support for its eradication. OBJECTIVE: To test our hypothesis that themes of polio-related tweets and media articles would differ by location of interest (hashtag of country name mentioned in the tweet; country name mentioned in media articles) but would be similar to each other (tweets and media articles) for each location of interest. METHODS: We retrospectively examined a 40% random sample of Twitter data containing the hashtag #polio from January 1, 2014, to April 30, 2015 (N = 79,333), from which we extracted 5 subcorpora each with a co-occurring hashtag #India (n = 5027), #Iraq (n = 1238), #Nigeria (n = 1364), #Pakistan (n = 11,427), and #Syria (n = 2952). We also retrieved and categorized 73 polio-related English-language news stories from within the same timeframe. We assessed the association between polio-related English news themes and the Twitter content. Descriptive analyses and unsupervised machine learning (latent Dirichlet allocation modeling) were conducted on the 5 Twitter subcorpora. RESULTS: The results of the latent Dirichlet allocation modeling on the specific subcorpora with country co-occurring hashtags showed significant differences between the 5 countries in terms of content. English mass media content focused largely on violence/conflicts and cases of polio, whereas social media focused on eradication and vaccination efforts along with celebrations. DISCUSSION: Contrary to our hypothesis, our evidence suggests Twitter content differs significantly from English mass media content. Evidence from our study helps inform media monitoring and communications surveillance during global public health crises, such as infectious disease outbreaks, as well as reactions to health promotion campaigns.


Asunto(s)
Poliomielitis/epidemiología , Medios de Comunicación Sociales , Humanos , India/epidemiología , Irak/epidemiología , Lenguaje , Medios de Comunicación de Masas , Nigeria/epidemiología , Pakistán/epidemiología , Estudios Retrospectivos , Siria/epidemiología
9.
Perm J ; 232019.
Artículo en Inglés | MEDLINE | ID: mdl-30939268

RESUMEN

INTRODUCTION: We describe videos posted to the YouTube video-sharing Web site by US state health departments (SHDs) and associated institutional factors. METHODS: YouTube channels from SHDs were identified, their data retrieved, and their videos saved to a playlist on January 10, 2016. Ten randomly sampled videos from each channel were manually coded for topics. The 2012 Association of State and Territorial Health Officials profile survey was used to obtain information on staff, expenditure, and top 5 priorities for each SHD. Descriptive statistics and univariable regression were conducted. RESULTS: Forty-three SHDs had YouTube channels. Together, all SHDs posted 3957 videos, accumulated 12,151,720 views, and gained 6302 subscribers. In total, 415 videos were manually coded. Information about the agency (17.6%), communicable diseases (12.5%), and mother/infant health (8.9%) comprised the largest share of topics. No statistically significant association was observed between the log-transformed number of videos posted on an SHD's YouTube channel and any of the explanatory variables of SHD staffing and expenditure in 2011. The number of full-time employees (r = 0.34, p = 0.03), number of epidemiologists and biostatisticians (r = 0.41, p = 0.01), and 2011 total year expenditure (r = 0.38, p = 0.02) were positively correlated with the log-transformed number of views per YouTube video posted by SHDs. No meaningful patterns of statistical association were observed between the percentage of expenditure on a specific program area and the topics of videos. CONCLUSION: Most SHDs are using YouTube, which provides a unique opportunity for SHDs to disseminate health messages.


Asunto(s)
Promoción de la Salud/métodos , Promoción de la Salud/estadística & datos numéricos , Agencias de los Sistemas de Salud/estadística & datos numéricos , Medios de Comunicación Sociales/estadística & datos numéricos , Grabación en Video/estadística & datos numéricos , Estudios Transversales , Humanos , Estados Unidos
10.
BMC Public Health ; 19(1): 438, 2019 Apr 25.
Artículo en Inglés | MEDLINE | ID: mdl-31023299

RESUMEN

BACKGROUND: Information and emotions towards public health issues could spread widely through online social networks. Although aggregate metrics on the volume of information diffusion are available, we know little about how information spreads on online social networks. Health information could be transmitted from one to many (i.e. broadcasting) or from a chain of individual to individual (i.e. viral spreading). The aim of this study is to examine the spreading pattern of Ebola information on Twitter and identify influential users regarding Ebola messages. METHODS: Our data was purchased from GNIP. We obtained all Ebola-related tweets posted globally from March 23, 2014 to May 31, 2015. We reconstructed Ebola-related retweeting paths based on Twitter content and the follower-followee relationships. Social network analysis was performed to investigate retweeting patterns. In addition to describing the diffusion structures, we classify users in the network into four categories (i.e., influential user, hidden influential user, disseminator, common user) based on following and retweeting patterns. RESULTS: On average, 91% of the retweets were directly retweeted from the initial message. Moreover, 47.5% of the retweeting paths of the original tweets had a depth of 1 (i.e., from the seed user to its immediate followers). These observations suggested that the broadcasting was more pervasive than viral spreading. We found that influential users and hidden influential users triggered more retweets than disseminators and common users. Disseminators and common users relied more on the viral model for spreading information beyond their immediate followers via influential and hidden influential users. CONCLUSIONS: Broadcasting was the dominant mechanism of information diffusion of a major health event on Twitter. It suggests that public health communicators can work beneficially with influential and hidden influential users to get the message across, because influential and hidden influential users can reach more people that are not following the public health Twitter accounts. Although both influential users and hidden influential users can trigger many retweets, recognizing and using the hidden influential users as the source of information could potentially be a cost-effective communication strategy for public health promotion. However, challenges remain due to uncertain credibility of these hidden influential users.


Asunto(s)
Fiebre Hemorrágica Ebola , Difusión de la Información/métodos , Redes Sociales en Línea , Medios de Comunicación Sociales/estadística & datos numéricos , Humanos
11.
Int Health ; 11(4): 297-305, 2019 07 01.
Artículo en Inglés | MEDLINE | ID: mdl-30476105

RESUMEN

BACKGROUND: Twitter is used for World Pneumonia Day (WPD; November 12) communication. We evaluate if themes of #pneumonia tweets were associated with retweet frequency. METHODS: A total of 28 181 original #pneumonia tweets were retrieved (21 November 2016), from which six subcorpora, 1 mo before and 1 mo after WPD 2011-2016, were extracted (n=6721). Underlying topics were identified via latent Dirichlet allocation and were manually coded into themes. The association of themes with retweet count was assessed via multivariable hurdle regression. RESULTS: Compared with personal experience tweets, tweets that both raised awareness and promoted intervention were 2.62 times as likely to be retweeted (adjusted odds ratio [aOR] 2.62 [95% 1.79 to 3.85]) and if retweeted had 37% more retweets (adjusted prevalence ratio [aPR] 1.37 [95% CI 1.06 to 1.78]). Tweets that raised concerns about vaccine price were twice as likely to be retweeted (aOR 2.29 [95% CI 1.36 to 3.84]) and if retweeted, had double the retweet count (aPR 2.05 [95% CI 1.27 to 3.29]) of tweets sharing personal experience. CONCLUSIONS: The #pneumonia tweets that both raised awareness and promoted interventions and those discussing vaccine price were more likely to engage users than tweets about personal experience. These results help health professionals craft WPD messages that will engage the audience.


Asunto(s)
Concienciación , Comunicación , Promoción de la Salud/métodos , Neumonía/prevención & control , Mercadeo Social , Medios de Comunicación Sociales , Vacunas , Comercio , Humanos , Oportunidad Relativa , Neumonía/economía , Vacunas/economía
12.
Infect Dis Health ; 23(1): 10-16, 2018 03.
Artículo en Inglés | MEDLINE | ID: mdl-30479298

RESUMEN

BACKGROUND: Different linguo-cultural communities might react to an outbreak differently. The 2015 South Korean MERS outbreak presented an opportunity for us to compare tweets responding to the same outbreak in different languages. METHODS: We obtained a 1% sample through Twitter streaming application programming interface from June 1 to 30, 2015. We identified MERS-related tweets with keywords such as 'MERS' and its translation in five different languages. We translated non-English tweets into English for statistical comparison. RESULTS: We retrieved MERS-related Twitter data in five languages: Korean (N = 21,823), English (N = 4024), Thai (N = 2084), Japanese (N = 1334) and Indonesian (N = 1256). Categories of randomly selected user profiles (p < 0.001) and the top 30 sources of retweets (p < 0.001) differed between the five language corpora. Among the randomly selected user profiles, K-pop fans ranged from 4% in the Korean corpus to 70% in the Thai corpus; media ranged from 0% (Thai) to 14% (Indonesian); political advocates ranged from 0% (Thai) to 19% (Japanese); medical professionals ranged from 0% (Thai) to 7% (English). Among the top 30 sources of retweets for each corpus (150 in total), 70 (46.7%) were media; 29 (19.3%) were K-pop fans; 7 (4.7%) were political; 9 (6%) were medical; and 35 (23.3%) were categorized as 'Others'. We performed chi-square feature selection and identified the top 20 keywords that were most unique to each corpus. CONCLUSION: Different linguo-cultural communities exist on Twitter and they might react to the same outbreak differently. Understanding audiences' unique Twitter cultures will allow public health agencies to develop appropriate Twitter health communication strategies.


Asunto(s)
Infecciones por Coronavirus/epidemiología , Características Culturales , Brotes de Enfermedades , Medios de Comunicación Sociales , Infecciones por Coronavirus/prevención & control , Estudios Transversales , Humanos , Lenguaje , República de Corea/epidemiología
13.
Pathog Glob Health ; 112(4): 195-202, 2018 06.
Artículo en Inglés | MEDLINE | ID: mdl-29874978

RESUMEN

Epidemiological studies have identified an increased risk of diarrheal diseases associated with using shared sanitation facilities. We hypothesized that this might be related to differences in transmission routes of pathogens. We proposed a mathematical model of two fictitious pathogens, one transmitted with an environmental reservoir and one without. We assumed that individuals susceptible to one pathogen are not susceptible to the other, and therefore, decoupled the two models. We initialized the model with 99% individuals being susceptible. We sampled the parameter space using Latin Hypercube Sampling. We simulated 10,000 parameter sets. We varied the effective shared sanitation coverage (the product of latrine coverage and users' compliance). Our results show that, in our hypothetical scenario, across all levels of effective coverage of shared sanitation, the median final cumulative incidence of diarrheal disease was higher than that of zero coverage. Our simulation findings suggest that increasing effective coverage of shared sanitation may have limited benefits against diarrhea-causing pathogens with an environmental reservoir and may lack benefit against diarrhea-causing pathogens without an environmental reservoir given increased human contacts if latrines are poorly maintained.


Asunto(s)
Diarrea/epidemiología , Transmisión de Enfermedad Infecciosa , Modelos Teóricos , Saneamiento/métodos , Cuartos de Baño , Humanos , Incidencia
14.
Perm J ; 22: 17-138, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-29911966

RESUMEN

INTRODUCTION: Social media platforms are important channels through which health education about the utility and safety of vaccination is conducted. OBJECTIVE: To investigate if tweets with different sentiments toward vaccination and different contents attract different levels of Twitter users' engagement (retweets). METHODS: A stratified random sample (N = 1425) of 142,891 #vaccine tweets (February 4, 2010, to November 10, 2016) was manually coded. All 201 tweets with 100 or more retweets from 194,259 #vaccineswork tweets (January 1, 2014, to April 30, 2015) were manually coded. Regression models were applied to identify factors associated with retweet frequency. RESULTS: Among #vaccine tweets, provaccine tweets (adjusted prevalence ratio = 1.5836, 95% confidence interval = 1.2130-2.0713, p < 0.001) and antivaccine tweets (adjusted prevalence ratio = 4.1280, 95% confidence interval = 3.1183-5.4901, p < 0.001) had more retweets than neutral tweets. No significant differences occurred in retweet frequency for content categories among antivaccine tweets. Among 411 links in provaccine tweets, Twitter (53; 12.9%), content curator Trap.it (14; 3.4%), and the Centers for Disease Control and Prevention (8; 1.9%) ranked as the top 3 domains. Among 325 links in antivaccine tweets, social media links were common: Twitter (44; 14.9%), YouTube (25; 8.4%), and Facebook (10; 3.4%). Among highly retweeted #vaccineswork tweets, the most common theme was childhood vaccinations (40%; 81/201); 21% mentioned global vaccination improvement/efforts (42/201); 29% mentioned vaccines can prevent outbreaks and deaths (58/201). CONCLUSION: Engaging social media key opinion leaders to facilitate health education about vaccination in their tweets may allow reaching a wider audience online.


Asunto(s)
Medios de Comunicación Sociales , Vacunas , Niño , Conocimientos, Actitudes y Práctica en Salud , Humanos , Medios de Comunicación Sociales/estadística & datos numéricos , Vacunación/efectos adversos , Vacunación/psicología , Vacunación/estadística & datos numéricos , Vacunas/efectos adversos , Vacunas/uso terapéutico
15.
JMIR Public Health Surveill ; 4(2): e33, 2018 Apr 02.
Artículo en Inglés | MEDLINE | ID: mdl-29610112

RESUMEN

BACKGROUND: The Office of Advanced Molecular Detection (OAMD), Centers for Disease Control and Prevention (CDC), manages a Twitter profile (@CDC_AMD). To our knowledge, no prior study has analyzed a CDC Twitter handle's entire contents and all followers. OBJECTIVE: This study aimed to describe the contents and followers of the Twitter profile @CDC_AMD and to assess if attaching photos or videos to tweets posted by @CDC_AMD would increase retweet frequency. METHODS: Data of @CDC_AMD were retrieved on November 21, 2016. All followers (N=809) were manually categorized. All tweets (N=768) were manually coded for contents and whether photos or videos were attached. Retweet count for each tweet was recorded. Negative binomial regression models were applied to both the original and the retweet corpora. RESULTS: Among the 809 followers, 26.0% (210/809) were individual health professionals, 11.6% (94/809) nongovernmental organizations, 3.3% (27/809) government agencies' accounts, 3.3% (27/809) accounts of media organizations and journalists, and 0.9% (7/809) academic journals, with 54.9% (444/809) categorized as miscellaneous. A total of 46.9% (360/768) of @CDC_AMD's tweets referred to the Office's website and their current research; 17.6% (135/768) referred to their scientists' publications. Moreover, 80% (69/86) of tweets retweeted by @CDC_AMD fell into the miscellaneous category. In addition, 43.4% (333/768) of the tweets contained photos or videos, whereas the remaining 56.6% (435/768) did not. Attaching photos or videos to original @CDC_AMD tweets increases the number of retweets by 37% (probability ratio=1.37, 95% CI 1.13-1.67, P=.002). Content topics did not explain or modify this association. CONCLUSIONS: This study confirms CDC health communicators' experience that original tweets created by @CDC_AMD Twitter profile sharing images or videos (or their links) received more retweets. The current policy of attaching images to tweets should be encouraged.

16.
Noise Health ; 20(92): 1-8, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-29457600

RESUMEN

Purpose: To examine the information about tinnitus contained in different video sources on YouTube. Materials and Methods: The 100 most widely viewed tinnitus videos were manually coded. Firstly, we identified the sources of upload: consumer, professional, television-based clip, and internet-based clip. Secondly, the videos were analyzed to ascertain what pertinent information they contained from a current National Institute on Deafness and Other Communication Disorders fact sheet. Results: Of the videos, 42 were consumer-generated, 33 from media, and 25 from professionals. Collectively, the 100 videos were viewed almost 9 million times. The odds of mentioning "objective tinnitus" in professional videos were 9.58 times those from media sources [odds ratio (OR) = 9.58; 95% confidence interval (CI): 1.94, 47.42; P = 0.01], whereas these odds in consumer videos were 51% of media-generated videos (OR = 0.51; 95% CI: 0.20, 1.29; P = 0.16). The odds that the purpose of a video was to sell a product or service were nearly the same for both consumer and professional videos. Consumer videos were found to be 4.33 times as likely to carry a theme about an individual's own experience with tinnitus (OR = 4.33; 95% CI: 1.62, 11.63; P = 0.004) as media videos. Conclusions: Of the top 100 viewed videos on tinnitus, most were uploaded by consumers, sharing individuals' experiences. Actions are needed to make scientific medical information more prominently available and accessible on YouTube and other social media.


Asunto(s)
Información de Salud al Consumidor/métodos , Educación del Paciente como Asunto/métodos , Medios de Comunicación Sociales/estadística & datos numéricos , Acúfeno , Análisis de Varianza , Estudios Transversales , Humanos , Internet , Red Social , Grabación en Video
17.
Altern Ther Health Med ; 24(6): 32-37, 2018 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-30982022

RESUMEN

Context: Cupping is a complementary and alternative therapy that attracts much attention on social media. Objectivet: The study intended to examine the types of user-generated content found on YouTube on the practice of cupping therapy as a form of pain management. Designt: The current research team searched YouTube for videos on cupping therapy on August 14, 2016. Settingt: The Internet was accessed from Wayne, NJ, USA. Outcome Measurest: The research team manually coded the 100 most widely viewed, cupping videos for content and sources. Logistic regression was applied to obtain the association of video source-consumer, news, or professional-to each of the 21 content categories. Resultst: In total, the 100 videos were viewed more than 36.80 million times. Among them, 52 were consumer videos; 16 were professional videos; and 32 were news videos. Compared to news videos, (1) the odds of consumer videos mentioning what cupping is were 85.90% lower-odds ratio (OR) = 0.14, 95% confidence interval (CI) (0.04 to 0.52), P < .01; (2) the odds of consumer videos and professional videos mentioning an increase in blood flow as a benefit were 93.50% lower-OR = 0.07, 95% CI (0.02 to 0.24), P < .01-and 82.80% lower-OR = 0.17, 95% CI (0.04 to 0.82), P = .03, respectively; and (3) the odds of consumer videos mentioning a decrease in inflammation as a benefit were 92.9% lower-OR = 0.07, 95% CI (0.02 to 0.21), P < .01. Conclusionst: The current study found that, despite the large presence of consumer-based videos in YouTube regarding cupping therapy, news sources were more widely viewed. Health professionals could engage more with YouTube by providing clear and authentic information about a popular alternative therapy.


Asunto(s)
Terapias Complementarias , Internet , Medios de Comunicación Sociales , Grabación en Video , Humanos
18.
Ann Glob Health ; 84(4): 710-716, 2018 11 05.
Artículo en Inglés | MEDLINE | ID: mdl-30779521

RESUMEN

BACKGROUND: The CDC hosts monthly panel presentations titled 'Public Health Grand Rounds' and publishes monthly reports known as Vital Signs. Hashtags #CDCGrandRounds and #VitalSigns were used to promote them on Twitter. Objectives: This study quantified the effect of hashtag count, mention count, and URL count and attaching visual cues to #CDCGrandRounds or #VitalSigns tweets on their retweet frequency. METHODS: Through Twitter Search Application Programming Interface, original tweets containing the hashtag #CDCGrandRounds (n = 6,966; April 21, 2011-October 25, 2016) and the hashtag #VitalSigns (n = 15,015; March 19, 2013-October 31, 2016) were retrieved respectively. Negative binomial regression models were applied to each corpus to estimate the associations between retweet frequency and three predictors (hashtag count, mention count, and URL link count). Each corpus was sub-set into cycles (#CDCGrandRounds: n = 58, #VitalSigns: n = 42). We manually coded the 30 tweets with the highest number of retweets for each cycle, whether it contained visual cues (images or videos). Univariable negative binomial regression models were applied to compute the prevalence ratio (PR) of retweet frequency for each cycle, between tweets with and without visual cues. FINDINGS: URL links increased retweet frequency in both corpora; effects of hashtag count and mention count differed between the two corpora. Of the 58 #CDCGrandRounds cycles, 29 were found to have statistically significantly different retweet frequencies between tweets with and without visual cues. Of these 29 cycles, one had a PR estimate < 1; twenty-four, PR > 1 but < 3; and four, PR > 3. Of the 42 #VitalSigns cycles, 19 were statistically significant. Of these 19 cycles, six were PR > 1 and < 3; and thirteen, PR > 3. Conclusions: The increase of retweet frequency through attaching visual cues varied across cycles for original tweets with #CDCGrandRounds and #VitalSigns. Future research is needed to determine the optimal choice of visual cues to maximize the influence of public health tweets.


Asunto(s)
Comunicación en Salud/métodos , Salud Pública/métodos , Medios de Comunicación Sociales , Salud Global , Humanos , Difusión de la Información , Estudios Retrospectivos
19.
J Dent Hyg ; 92(6): 47-53, 2018 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-30643004

RESUMEN

Purpose: The aim of this study was to describe characteristics of the most widely viewed fluoride-related videos on the video sharing website, YouTube, and to compare the content of videos uploaded from different sources.Methods: Using a cross-sectional design, a total of 100 fluoride-related, English language videos were manually coded and statistically analyzed.Results: A majority of videos were consumer-generated. Videos that were consumer-generated had the most views of any source (9,737,845 views; 69.32%). Compared to consumer-generated videos, videos uploaded by a professional source were 15.52 times as likely to mention fluoridated toothpaste (Odds ratio, OR=15.52, 95% CI, 1.92, 125.35), 5.04 times as likely to mention the need for training of health personnel (OR=5.04, 95% CI, 1.15, 22.02), 9.69 times as likely to mention the benefits of fluoride on teeth (OR=9.69; 95% CI, 2.01, 46.81), 3.52 times as likely to mention that too much fluoride is negative (OR=3.52, 95% CI, 1.06, 11.73), and 3.44 times as likely to mention the dangers of fluoride use in children 1-5 years old (OR=3.44, 95% CI, 1.05, 11.23).Conclusion: Widely-viewed fluoride-related information on YouTube has an anti-fluoride sentiment, focusing more on the danger of fluoride rather than its benefits.


Asunto(s)
Información de Salud al Consumidor/estadística & datos numéricos , Fluoruros , Medios de Comunicación Sociales/estadística & datos numéricos , Grabación en Video/estadística & datos numéricos , Preescolar , Estudios Transversales , Caries Dental/prevención & control , Fluoruros/efectos adversos , Fluoruros/uso terapéutico , Personal de Salud/educación , Humanos , Lactante , Difusión de la Información , Internet , Oportunidad Relativa , Diente , Pastas de Dientes
20.
Ann Glob Health ; 83(3-4): 682-690, 2017.
Artículo en Inglés | MEDLINE | ID: mdl-29221545

RESUMEN

BACKGROUND: Advocates use the hashtag #GlobalHealth on Twitter to draw users' attention to prominent themes on global health, to harness their support, and to advocate for change. OBJECTIVES: We aimed to describe #GlobalHealth tweets pertinent to given major health issues. METHODS: Tweets containing the hashtag #GlobalHealth (N = 157,951) from January 1, 2014, to April 30, 2015, were purchased from GNIP Inc. We extracted 5 subcorpora of tweets, each with 1 of 5 co-occurring disease-specific hashtags (#Malaria, #HIV, #TB, #NCDS, and #NTDS) for further analysis. Unsupervised machine learning was applied to each subcorpus to categorize the tweets by their underlying topics and obtain the representative tweets of each topic. The topics were grouped into 1 of 4 themes (advocacy; epidemiological information; prevention, control, and treatment; societal impact) or miscellaneous. Manual categorization of most frequent users was performed. Time zones of users were analyzed. FINDINGS: In the entire #GlobalHealth corpus (N = 157,951), there were 40,266 unique users, 85,168 retweets, and 13,107 unique co-occurring hashtags. Of the 13,087 tweets across the 5 subcorpora with co-occurring hashtag #malaria (n = 3640), #HIV (n = 3557), #NCDS (noncommunicable diseases; n = 2373), #TB (tuberculosis; n = 1781), and #NTDS (neglected tropical diseases; n = 1736), the most prevalent theme was prevention, control, and treatment (4339, 33.16%), followed by advocacy (3706, 28.32%), epidemiological information (1803, 13.78%), and societal impact (1617, 12.36%). Among the top 10 users who tweeted the highest number of tweets in the #GlobalHealth corpus, 5 were individual professionals, 3 were news media, and 2 were organizations advocating for global health. The most common users' time zone was Eastern Time (United States and Canada). CONCLUSIONS: This study highlighted the specific #GlobalHealth Twitter conversations pertinent to malaria, HIV, tuberculosis, noncommunicable diseases, and neglected tropical diseases. These conversations reflect the priorities of advocates, funders, policymakers, and practitioners of global health on these high-burden diseases as they presented their views and information on Twitter to their followers.


Asunto(s)
Salud Global , Comunicación en Salud , Medios de Comunicación Sociales , Estudios Transversales , Infecciones por VIH , Humanos , Aprendizaje Automático , Malaria , Enfermedades Desatendidas , Enfermedades no Transmisibles , Medicina Tropical , Tuberculosis
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