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1.
Chiropr Man Therap ; 28: 34, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32523681

RESUMO

Background: Social media has become an increasingly important tool in monitoring the onset and spread of infectious diseases globally as well monitoring the spread of information about those diseases. This includes the spread of misinformation, which has been documented within the context of the emerging COVID-19 crisis. Understanding the creation, spread and uptake of social media misinformation is of critical importance to public safety. In this descriptive study, we detail Twitter activity regarding spinal manipulative therapy (SMT) and claims it increases, or "boosts", immunity. Spinal manipulation is a common intervention used by many health professions, most commonly by chiropractors. There is no clinical evidence that SMT improves human immunity. Methods: Social media searching software (Talkwalker Quick Search) was used to describe Twitter activity regarding SMT and improving or boosting immunity. Searches were performed for the 3 months and 12 months before March 31, 2020 using terms related to 1) SMT, 2) the professions that most often provide SMT and 3) immunity. From these searches, we determined the magnitude and time course of Twitter activity then coded this activity into content that promoted or refuted a SMT/immunity link. Content themes, high-influence users and user demographics were then stratified as either promoting or refuting this linkage. Results: Twitter misinformation regarding a SMT/immunity link increased dramatically during the onset of the COVID crisis. Activity levels (number of tweets) and engagement scores (likes + retweets) were roughly equal between content promoting or refuting a SMT/immunity link, however, the potential reach (audience) of tweets refuting a SMT/immunity link was 3 times higher than those promoting a link. Users with the greatest influence on Twitter, as either promoters or refuters, were individuals, not institutions or organizations. The majority of tweets promoting a SMT/immunity link were generated in the USA while the majority of refuting tweets originated from Canada. Conclusion: Twitter activity about SMT and immunity increased during the COVID-19 crisis. Results from this work have the potential to help policy makers and others understand the impact of SMT misinformation and devise strategies to mitigate its impact.


Assuntos
Comunicação , Infecções por Coronavirus , Imunidade , Imunização Secundária , Manipulação da Coluna/métodos , Pandemias , Pneumonia Viral , Mídias Sociais , Betacoronavirus/isolamento & purificação , Quiroprática/métodos , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/imunologia , Infecções por Coronavirus/prevenção & controle , Infecções por Coronavirus/transmissão , Humanos , Disseminação de Informação/ética , Disseminação de Informação/métodos , Pandemias/prevenção & controle , Pneumonia Viral/epidemiologia , Pneumonia Viral/imunologia , Pneumonia Viral/prevenção & controle , Pneumonia Viral/transmissão , Saúde Pública/métodos , Mídias Sociais/ética , Mídias Sociais/estatística & dados numéricos , Resultado do Tratamento
2.
Stud Health Technol Inform ; 270: 238-241, 2020 Jun 16.
Artigo em Inglês | MEDLINE | ID: mdl-32570382

RESUMO

One major obstacle to developing precision medicine to its full potential is the privacy concerns related to genomic-data sharing. Even though the academic community has proposed many solutions to protect genomic privacy, these so far have not been adopted in practice, mainly due to their impact on the data utility. We introduce GenoShare, a framework that enables individual citizens to understand and quantify the risks of revealing genome-related privacy-sensitive attributes (e.g., health status, kinship, physical traits) from sharing their genomic data with (potentially untrusted) third parties. GenoShare enables informed decision-making about sharing exact genomic data, by jointly simulating genome-based inference attacks and quantifying the risk stemming from a potential data disclosure.


Assuntos
Bases de Dados Genéticas/ética , Privacidade Genética , Genômica/ética , Disseminação de Informação/ética , Consentimento Livre e Esclarecido , Confidencialidade , Revelação , Genoma , Humanos , Registro Médico Coordenado
7.
Eur J Hum Genet ; 28(6): 719-723, 2020 06.
Artigo em Inglês | MEDLINE | ID: mdl-32415272

RESUMO

ELIXIR, the European research infrastructure for life science data, provides open access to data, tools and workflows in the response to the COVID-19 pandemic. ELIXIR's 23 nodes have reacted swiftly to support researchers in their combined efforts against the pandemic setting out three joint priorities: 1. Connecting national COVID-19 data platforms to create federated European COVID-19 Data Spaces; 2. Fostering good data management to make COVID-19 data open, FAIR and reusable over the long term; 3. Providing open tools, workflows and computational resources to drive reproducible and collaborative science. ELIXIR's strategy is based on the support given by our national nodes - collectively spanning over 200 institutes - to research projects and on partnering with community initiatives to drive development and adoption of good data practice and community driven standards. ELIXIR Nodes provide support activities locally and internationally, from provisioning compute capabilities to helping collect viral sequence data from hospitals. Some Nodes have prioritised access to their national cloud and compute facilities for all COVID-19 research projects, while others have developed tools to search, access and share all data related to the pandemic in a national healthcare setting.


Assuntos
Betacoronavirus/patogenicidade , Pesquisa Biomédica/organização & administração , Infecções por Coronavirus/epidemiologia , Disseminação de Informação/métodos , Cooperação Internacional/legislação & jurisprudência , Pandemias , Pneumonia Viral/epidemiologia , Betacoronavirus/genética , Infecções por Coronavirus/genética , Infecções por Coronavirus/patologia , Infecções por Coronavirus/virologia , Conjuntos de Dados como Assunto , Europa (Continente)/epidemiologia , Humanos , Disseminação de Informação/ética , Pneumonia Viral/genética , Pneumonia Viral/patologia , Pneumonia Viral/virologia , Saúde Pública/economia , Fluxo de Trabalho
8.
Eur J Hum Genet ; 28(6): 728-731, 2020 06.
Artigo em Inglês | MEDLINE | ID: mdl-32444797

RESUMO

During the COVID-19 pandemic, the European biobanking infrastructure is in a unique position to preserve valuable biological material complemented with detailed data for future research purposes. Biobanks can be either integrated into healthcare, where preservation of the biological material is a fork in clinical routine diagnostics and medical treatment processes or they can also host prospective cohorts or material related to clinical trials. The paper discussed objectives of BBMRI-ERIC, the European research infrastructure established to facilitate access to quality-defined biological materials and data for research purposes, with respect to the COVID-19 crisis: (a) to collect information on available European as well as non-European COVID-19-relevant biobanking resources in BBMRI-ERIC Directory and to facilitate access to these via BBMRI-ERIC Negotiator platform; (b) to help harmonizing guidelines on how data and biological material is to be collected to maximize utility for future research, including large-scale data processing in artificial intelligence, by participating in activities such as COVID-19 Host Genetics Initiative; (c) to minimize risks for all involved parties dealing with (potentially) infectious material by developing recommendations and guidelines; (d) to provide a European-wide platform of exchange in relation to ethical, legal, and societal issues (ELSI) specific to the collection of biological material and data during the COVID-19 pandemic.


Assuntos
Betacoronavirus/patogenicidade , Pesquisa Biomédica/organização & administração , Infecções por Coronavirus/epidemiologia , Disseminação de Informação/métodos , Cooperação Internacional/legislação & jurisprudência , Pandemias , Pneumonia Viral/epidemiologia , Antivirais/uso terapêutico , Inteligência Artificial , Betacoronavirus/efeitos dos fármacos , Betacoronavirus/genética , Bancos de Espécimes Biológicos/provisão & distribução , Ensaios Clínicos como Assunto , Infecções por Coronavirus/diagnóstico , Infecções por Coronavirus/tratamento farmacológico , Infecções por Coronavirus/genética , Conjuntos de Dados como Assunto , Europa (Continente)/epidemiologia , Humanos , Disseminação de Informação/ética , Pneumonia Viral/diagnóstico , Pneumonia Viral/tratamento farmacológico , Pneumonia Viral/genética , Guias de Prática Clínica como Assunto , Saúde Pública/economia
17.
Actas urol. esp ; 43(10): 551-556, dic. 2019. tab, graf
Artigo em Espanhol | IBECS | ID: ibc-185261

RESUMO

Introducción: Las redes sociales (RRSS) ofrecen excelentes oportunidades para la difusión del conocimiento científico y su aplicación en el ámbito de la urología es cada vez mayor. Sin embargo, existe controversia alrededor de este tema. Los vídeos en directo compartidos a través de las plataformas de las RRSS ofrecen muchas ventajas y desventajas; existen riesgos potenciales con respecto a la confidencialidad, infracción de derechos de autor, entre otros. Nuestro objetivo fue evaluar el papel de los vídeos compartidos en RRSS durante los congresos de urología. Materiales y métodos: Desde enero de 2016 hasta junio de 2018, se llevó a cabo un estudio exhaustivo de los vídeos compartidos en RRSS durante el Congreso de la Asociación Europea de Urología. Se utilizaron las herramientas online Symplur (Symplur.com), Twitter, Periscope y YouTube para la recopilación de datos. Se analizaron las siguientes variables: el número de vídeos, el tiempo de retransmisión y las visualizaciones de cada uno. Los vídeos se clasificaron como en directo o pregrabados y como científicos o no científicos. Se utilizó SPSS V22.0 para el procesamiento de datos. Resultados: Identificamos 108 vídeos compartidos en RRSS, 292,42 minutos de retransmisión, 67732 visualizaciones. De estos 79 (73%) eran vídeos en directo, de los cuales 78 (72%) se consideraron científicos y 30 (28%) no científicos. Durante los años del estudio (2016-2018) se observó un aumento en el tiempo de retransmisión (p = 0,031), el número de vídeos, visualizaciones (p = 0,018) y vídeos en directo (p = 0,019) durante el congreso anual de la Asociación Europea de Urología. Conclusiones: La publicación de vídeos de congresos urológicos en RRSS está en constante aumento. Estos vídeos proporcionan ventajas para la comunicación, la divulgación científica y amplían el alcance de los congresos. Sin embargo, existe un riesgo potencial al compartir información en tiempo real que podría no estar en línea con las recomendaciones para el uso apropiado de las redes sociales


Introduction: Social Media (SoMe) offers excellent opportunities for scientific knowledge dissemination and its use has been extended in urology. However, there is controversy about its use. Live videos shared trough SoMe platforms offer many advantages, but at the same time disadvantages and potential risks including confidentiality, copyright infringement, among others. We aimed to assess the activity of shared videos on SoMe during urological conferences. Materials and methods: A comprehensive study of videos shared on SoMe during European Association of Urology congress was carried out from January 2016 to June 2018. The online tools Symplur (Symplur.com), Twitter, Periscope and YouTube were searched to collect data. Number of videos, transmission time and views were analyzed. Videos were classified as live or pre-recorded and as scientific or non-scientific. SPSS V22.0 was used to process data. Results: We identified 108 videos shared on SoMe, 292.42minutes of transmission, 67732 views. 79 of 108 (73%) were live streaming videos, 78 (72%) of which were considered scientific vs. 30 (28%) non-scientific. An increase was observed trough the years of study (2016-2018) in transmission time (p = .031) number of videos, views (p = .018) and live videos (p = .019) during the annual congress of the European Association of Urology. Conclusions: Shared videos on SoMe from urological conferences are increasing. These provide advantages for communication, scientific dissemination and expand the scope of conferences. However, there is potential risk of sharing information in real time; that could not be in line with the recommendations for appropriate use of social networks


Assuntos
Humanos , Disseminação de Informação/ética , Disseminação de Informação/métodos , Rede Social , Gravação em Vídeo/ética , Sociedades Médicas/ética , Urologia , Sociedades Médicas/normas
20.
PLoS Biol ; 17(10): e3000385, 2019 10.
Artigo em Inglês | MEDLINE | ID: mdl-31600197

RESUMO

Citation data have remained hidden behind proprietary, restrictive licensing agreements, which raises barriers to entry for analysts wishing to use the data, increases the expense of performing large-scale analyses, and reduces the robustness and reproducibility of the conclusions. For the past several years, the National Institutes of Health (NIH) Office of Portfolio Analysis (OPA) has been aggregating and enhancing citation data that can be shared publicly. Here, we describe the NIH Open Citation Collection (NIH-OCC), a public access database for biomedical research that is made freely available to the community. This dataset, which has been carefully generated from unrestricted data sources such as MedLine, PubMed Central (PMC), and CrossRef, now underlies the citation statistics delivered in the NIH iCite analytic platform. We have also included data from a machine learning pipeline that identifies, extracts, resolves, and disambiguates references from full-text articles available on the internet. Open citation links are available to the public in a major update of iCite (https://icite.od.nih.gov).


Assuntos
Disseminação de Informação/ética , National Institutes of Health (U.S.)/legislação & jurisprudência , Publicação de Acesso Aberto/legislação & jurisprudência , Política Organizacional , Bibliometria , Pesquisa Biomédica , Humanos , Aprendizado de Máquina , Manuscritos como Assunto , National Institutes of Health (U.S.)/economia , Publicação de Acesso Aberto/economia , Estados Unidos
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