Building a vertically integrated genomic learning health system: The biobank at the Colorado Center for Personalized Medicine.

Precision medicine initiatives across the globe have led to a revolution of repositories linking large-scale genomic data with electronic health records, enabling genomic analyses across the entire phenome. Many of these initiatives focus solely on research insights, leading to limited direct benefit to patients. We describe the biobank at the Colorado Center for Personalized Medicine (CCPM Biobank) that was jointly developed by the University of Colorado Anschutz Medical Campus and UCHealth to serve as a unique, dual-purpose research and clinical resource accelerating personalized medicine. This living resource currently has more than 200,000 participants with ongoing recruitment. We highlight the clinical, laboratory, regulatory, and HIPAA-compliant informatics infrastructure along with our stakeholder engagement, consent, recontact, and participant engagement strategies. We characterize aspects of genetic and geographic diversity unique to the Rocky Mountain region, the primary catchment area for CCPM Biobank participants. We leverage linked health and demographic information of the CCPM Biobank participant population to demonstrate the utility of the CCPM Biobank to replicate complex trait associations in the first 33,674 genotyped individuals across multiple disease domains. Finally, we describe our current efforts toward return of clinical genetic test results, including high-impact pathogenic variants and pharmacogenetic information, and our broader goals as the CCPM Biobank continues to grow. Bringing clinical and research interests together fosters unique clinical and translational questions that can be addressed from the large EHR-linked CCPM Biobank resource within a HIPAA- and CLIA-certified environment.

Fostering Governance and Information Partnerships for Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance.

CONTEXT: Electronic health records (EHRs) are an emerging chronic disease surveillance data source and facilitating this data sharing is complex. PROGRAM: Using the experience of the Multi-State EHR-Based Network for Disease Surveillance (MENDS), this article describes implementation of a governance framework that aligns technical, statutory, and organizational requirements to facilitate EHR data sharing for chronic disease surveillance. IMPLEMENTATION: MENDS governance was cocreated with data contributors and health departments representing Texas, New Orleans, Louisiana, Chicago, Washington, and Indiana through engagement from 2020 to 2022. MENDS convened a governance body, executed data-sharing agreements, and developed a master governance document to codify policies and procedures. RESULTS: The MENDS governance committee meets regularly to develop policies and procedures on data use and access, timeliness and quality, validation, representativeness, analytics, security, small cell suppression, software implementation and maintenance, and privacy. Resultant policies are codified in a master governance document. DISCUSSION: The MENDS governance approach resulted in a transparent governance framework that cultivates trust across the network. MENDS's experience highlights the time and resources needed by EHR-based public health surveillance networks to establish effective governance.

An anti-infodemic virtual center for the Americas.

The Pan American Health Organization/World Health Organization (PAHO/WHO) Anti-Infodemic Virtual Center for the Americas (AIVCA) is a project led by the Department of Evidence and Intelligence for Action in Health, PAHO and the Center for Health Informatics, PAHO/WHO Collaborating Center on Information Systems for Health, at the University of Illinois, with the participation of PAHO staff and consultants across the region. Its goal is to develop a set of tools-pairing AI with human judgment-to help ministries of health and related health institutions respond to infodemics. Public health officials will learn about emerging threats detected by the center and get recommendations on how to respond. The virtual center is structured with three parallel teams: detection, evidence, and response. The detection team will employ a mixture of advanced search queries, machine learning, and other AI techniques to sift through more than 800 million new public social media posts per day to identify emerging infodemic threats in both English and Spanish. The evidence team will use the EasySearch federated search engine backed by AI, PAHO's knowledge management team, and the Librarian Reserve Corps to identify the most relevant authoritative sources. The response team will use a design approach to communicate recommended response strategies based on behavioural science, storytelling, and information design approaches.

El centro virtual contra la infodemia para la Región de las Américas de la Organización Panamericana de la Salud/Organización Mundial de la Salud (OPS/OMS) es un proyecto liderado por el Departamento de Evidencia e Inteligencia para la Acción en la Salud de la OPS y el Center for Health Informatics de la Universidad de Illinois, centro colaborador de la OPS/OMS en sistemas de información para la salud, con la participación de personal y consultores de la OPS en toda la Región. Su objetivo es crear un conjunto de herramientas que combinen inteligencia artificial (IA) y los criterios humanos para apoyar a los ministerios de salud y las instituciones relacionadas con la salud en la respuesta a la infodemia. Los funcionarios de salud pública recibirán formación sobre las amenazas emergentes detectadas por el centro y recomendaciones sobre cómo abordarlas. El centro virtual está estructurado en tres equipos paralelos: detección, evidencia y respuesta. El equipo de detección empleará una combinación de consultas mediante búsqueda avanzada, aprendizaje automático y otras técnicas de IA para evaluar más de 800 millones de publicaciones nuevas en las redes sociales al día con el fin de detectar amenazas emergentes en el ámbito de la infodemia tanto en inglés como en español. El equipo de evidencia hará uso del motor de búsqueda federado EasySearch y, con el apoyo de la IA, el equipo de gestión del conocimiento de la OPS y la red Librarian Reserve Corps, determinará cuáles son las fuentes autorizadas más pertinentes. El equipo de respuesta utilizará un enfoque vinculado al diseño para difundir las estrategias recomendadas sobre la base de las ciencias del comportamiento, la narración de historias y el diseño de la información.

O Centro Virtual Anti-Infodemia para as Américas (AIVCA, na sigla em inglês) da Organização Pan-Americana da Saúde/Organização Mundial da Saúde (OPAS/OMS) é um projeto liderado pelo Departamento de Evidência e Inteligência para a Ação em Saúde da OPAS e pelo Centro de Informática em Saúde da Universidade de Illinois, EUA (Centro Colaborador da OPAS/OMS para Sistemas de Informação para a Saúde), com a participação de funcionários e consultores da OPAS de toda a região. Seu objetivo é desenvolver um conjunto de ferramentas ­ combinando a inteligência artificial (IA) com o discernimento humano ­ para ajudar os ministérios e instituições de saúde a responder às infodemias. As autoridades de saúde pública aprenderão sobre as ameaças emergentes detectadas pelo centro e obterão recomendações sobre como responder. O centro virtual está estruturado com três equipes paralelas: detecção, evidência e resposta. A equipe de detecção utilizará consultas de pesquisa avançada, machine learning (aprendizagem de máquina) e outras técnicas de IA para filtrar mais de 800 milhões de novas postagens públicas nas redes sociais por dia, a fim de identificar ameaças infodêmicas emergentes em inglês e espanhol. A equipe de evidência usará o mecanismo de busca federada EasySearch, com apoio de IA, da equipe de gestão de conhecimento da OPAS e do Librarian Reserve Corps (LRC), para identificar as fontes abalizadas mais relevantes. A equipe de resposta usará uma abordagem de design para comunicar estratégias de resposta recomendadas com base em abordagens de ciência comportamental, narração de histórias e design da informação.

A marine biogenic source of atmospheric ice-nucleating particles.

The amount of ice present in clouds can affect cloud lifetime, precipitation and radiative properties. The formation of ice in clouds is facilitated by the presence of airborne ice-nucleating particles. Sea spray is one of the major global sources of atmospheric particles, but it is unclear to what extent these particles are capable of nucleating ice. Sea-spray aerosol contains large amounts of organic material that is ejected into the atmosphere during bubble bursting at the organically enriched sea-air interface or sea surface microlayer. Here we show that organic material in the sea surface microlayer nucleates ice under conditions relevant for mixed-phase cloud and high-altitude ice cloud formation. The ice-nucleating material is probably biogenic and less than approximately 0.2 micrometres in size. We find that exudates separated from cells of the marine diatom Thalassiosira pseudonana nucleate ice, and propose that organic material associated with phytoplankton cell exudates is a likely candidate for the observed ice-nucleating ability of the microlayer samples. Global model simulations of marine organic aerosol, in combination with our measurements, suggest that marine organic material may be an important source of ice-nucleating particles in remote marine environments such as the Southern Ocean, North Pacific Ocean and North Atlantic Ocean.

Toward a holistic definition for Information Systems for Health in the age of digital interdependence.

The article's main objective is to propose a new definition for Information Systems for Health, which is characterized by the identification and involvement of all the parts of a complex and interconnected process for data collection and decision-making in public health in the information society. The development of the concept was through a seven-step process including document analysis, on-site and virtual sessions for experts, and an online survey of broader health professionals. This new definition seeks to provide a holistic view, process, and approach for managing interoperable applications and databases that ethically considers open and free access to structured and unstructured data from different sectors, strategic information, and information and communication technology (ICT) tools for decision-making for the benefit of public health. It also supports the monitoring of the Sustainable Development Goals and the implementation of universal access to health and universal health coverage as well as Health in All Policies as an approach to promote health-related policies across sectors. Information Systems for Health evolves from preconceptions of health information systems to an integrated and multistakeholder effort that ensures better care and better policy-making and decision-making.

El objetivo principal de este artículo es proponer una nueva definición de los sistemas de información para la salud, que se caracterizan por la identificación y la participación de todas las partes involucradas en un complejo proceso interconectado de recopilación de datos y toma de decisiones en el ámbito de la salud pública en la sociedad de la información. El concepto se desarrolló en un proceso de siete pasos que incluyó el análisis de documentos, sesiones presenciales y virtuales con expertos y una encuesta en línea a profesionales de la salud en general. Esta nueva definición procura ofrecer un criterio holístico, un proceso y un enfoque para la gestión de bases de datos y aplicaciones interoperables que considere desde un punto de vista ético el acceso abierto y gratuito a datos estructurados y no estructurados de diferentes sectores, información estratégica y herramientas de tecnologías de la información y de la comunicación (TIC) para la toma de decisiones en beneficio de la salud pública. También brinda apoyo al seguimiento de los Objetivos de Desarrollo Sostenible y la ejecución del acceso universal a la salud y la cobertura universal de salud, así como la salud en todas las políticas como iniciativa para promover políticas relacionadas con la salud en todos los sectores. El concepto de sistemas de información para la salud implica una evolución desde lo que se consideraba anteriormente sistemas de información de salud hacia un esfuerzo integrado por parte de varios interesados directos que garantiza una mejora en la atención, la formulación de políticas y la toma de decisiones.

O principal objetivo deste artigo é propor uma nova definição para Sistemas de Informação em Saúde, que são caracterizados pela identificação e participação de todas as partes de um processo complexo e interconectado para a coleta de dados e tomada de decisão em saúde pública na sociedade da informação. O conceito foi desenvolvido por um processo de sete passos incluindo análise de documentos, sessões presenciais e virtuais com especialistas e uma pesquisa on-line com profissionais de saúde generalistas. A nova definição busca oferecer uma visão, um processo e uma abordagem holística para gerenciar aplicativos e bases de dados interoperáveis que consideram eticamente o acesso aberto e gratuito a dados estruturados e não estruturados de diferentes setores, informações estratégicas e ferramentas de tecnologia da informação e comunicação (TIC) para tomadas de decisão em prol da saúde pública. Também sustenta o monitoramento dos Objetivos de Desenvolvimento Sustentável e a implementação do acesso universal à saúde e da cobertura universal de saúde, assim como a Saúde em Todas as Políticas como uma abordagem para promover políticas relacionadas à saúde em vários setores. Os Sistemas de Informação em Saúde evoluíram de pré-conceitos dos sistemas de informação de saúde para um esforço integrado e com muitas partes interessadas, assegurando melhor cuidado, formulação de políticas e tomada de decisão.

Resolution of anemia and improved quality of life following laparoscopic hiatal hernia repair.

BACKGROUND: Cameron lesions (CL) are common complications of large hiatal hernia (HH) disease and are known to result in chronic blood loss with resultant microcytic anemia. There is support in the literature that repair of HH may lead to resolution of CL and restore normal hemoglobin levels. This study aimed to determine the impact of elective HH repair on resolution of anemia and the quality of life (QOL) in patients with CL. METHOD: A single-institution, retrospective review analyzed all patients with history of CL or anemia (hemoglobin < 12.0 gm/dl in women, < 13.5 gm/dl in men) who underwent HH repair from January 2012 to May 2019. Four validated surveys were used to assess QOL: Reflux Symptom Index (RSI), gastroesophageal reflux disease health-related QOL (GERD-HRQL), laryngopharyngeal reflux health-related QOL (LPR-HRQL), and QOL and swallowing disorders (SWAL) survey. History of iron supplements and perioperative hemoglobin were also noted. RESULT: Ninety-six patients were included in this study. The mean age was 67.4 ± 10.8 years and 79% of patients were female. CL were endoscopically identified in 61.5% of patients preoperatively, and the rest of the patients experienced anemia of undiagnosed origin but had a high suspicion for CL. Mean follow-up after HH repair was 17.3 months (range, 1 month-5 years). Mean preoperative hemoglobin was 11.01 ± 2.9 gm/dl and 13.23 ± 1.6 gm/dl postoperatively (p < 0.01). Forty-two (73.7%) patients had resolution of anemia during follow-up and 94.5% stopped supplemental oral iron. Finally, QOL scores significantly improved after surgical intervention: RSI (63%), GERD-HRQL (77%), LPR-HRQOL (72%), and SWAL (13%). CONCLUSION: Elective HH repair in patients with chronic anemia secondary to CL may potentially resolve CL and anemia and contribute to significant QOL improvements. Future studies will prospectively assess the resolution of CL with biochemical and endoscopic follow-up to confirm the preliminary findings of our analysis.

Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation.

BACKGROUND: An infodemic is an overabundance of information-some accurate and some not-that occurs during an epidemic. In a similar manner to an epidemic, it spreads between humans via digital and physical information systems. It makes it hard for people to find trustworthy sources and reliable guidance when they need it. OBJECTIVE: A World Health Organization (WHO) technical consultation on responding to the infodemic related to the coronavirus disease (COVID-19) pandemic was held, entirely online, to crowdsource suggested actions for a framework for infodemic management. METHODS: A group of policy makers, public health professionals, researchers, students, and other concerned stakeholders was joined by representatives of the media, social media platforms, various private sector organizations, and civil society to suggest and discuss actions for all parts of society, and multiple related professional and scientific disciplines, methods, and technologies. A total of 594 ideas for actions were crowdsourced online during the discussions and consolidated into suggestions for an infodemic management framework. RESULTS: The analysis team distilled the suggestions into a set of 50 proposed actions for a framework for managing infodemics in health emergencies. The consultation revealed six policy implications to consider. First, interventions and messages must be based on science and evidence, and must reach citizens and enable them to make informed decisions on how to protect themselves and their communities in a health emergency. Second, knowledge should be translated into actionable behavior-change messages, presented in ways that are understood by and accessible to all individuals in all parts of all societies. Third, governments should reach out to key communities to ensure their concerns and information needs are understood, tailoring advice and messages to address the audiences they represent. Fourth, to strengthen the analysis and amplification of information impact, strategic partnerships should be formed across all sectors, including but not limited to the social media and technology sectors, academia, and civil society. Fifth, health authorities should ensure that these actions are informed by reliable information that helps them understand the circulating narratives and changes in the flow of information, questions, and misinformation in communities. Sixth, following experiences to date in responding to the COVID-19 infodemic and the lessons from other disease outbreaks, infodemic management approaches should be further developed to support preparedness and response, and to inform risk mitigation, and be enhanced through data science and sociobehavioral and other research. CONCLUSIONS: The first version of this framework proposes five action areas in which WHO Member States and actors within society can apply, according to their mandate, an infodemic management approach adapted to national contexts and practices. Responses to the COVID-19 pandemic and the related infodemic require swift, regular, systematic, and coordinated action from multiple sectors of society and government. It remains crucial that we promote trusted information and fight misinformation, thereby helping save lives.

Targeted therapy and disease monitoring in CNTRL-FGFR1-driven leukaemia.

We report two patients with leukaemia driven by the rare CNTRL-FGFR1 fusion oncogene. This fusion arises from a t(8;9)(p12;q33) translocation, and is a rare driver of biphenotypic leukaemia in children. We used RNA sequencing to report novel features of expressed CNTRL-FGFR1, including CNTRL-FGFR1 fusion alternative splicing. From this knowledge, we designed and tested a Droplet Digital PCR assay that detects CNTRL-FGFR1 expression to approximately one cell in 100 000 using fusion breakpoint-specific primers and probes. We also utilised cell-line models to show that effective tyrosine kinase inhibitors, which may be included in treatment regimens for this disease, are only those that block FGFR1 phosphorylation.

Beyond the reminder: The next steps in pharmacist-driven, mHealth patient engagement.

OBJECTIVE: To describe opportunities for pharmacists to use mobile messaging and real-time monitoring to engage with patients taking long-term medications. SUMMARY: The proliferation of mobile phone use across the United States has been met with increased application of these devices by the medical community. However, beyond simple text messages and app-based functions, use of these devices by pharmacies and pharmacists has not been leveraged to improve patient outcomes, such as medication adherence. Resources now exist that can facilitate more advanced mobile communication between patients and pharmacists, which can be managed and informed by data available in most pharmacies. Such tailored messaging can be personalized further by being reactive to patient behavior using real-time medication use monitoring tools, facilitating low-cost, high-reach interventions for patients in need of ongoing guidance. CONCLUSION: Mechanisms now exist for pharmacies to engage patients more proactively with their prescribed therapy using mobile communication and devices. By facilitating such engagement, pharmacists can remain connected with patients throughout their care, better interpret their needs, navigate adherence-related issues, and more holistically counsel patients based on observed behaviors. Community pharmacy leadership should pursue the use of these advanced mobile messaging techniques as another tool in their arsenal to improve patient outcomes.

Open data and public health.

This article provides an overview of the intersection of open data and public health by first defining open government data, public health data, and other key concepts and relevant terminologies. There are differing perceptions on the urgency and importance of the openness of public health data. It has been established that disease outbreaks such as happened during the Ebola and Zika virus epidemics are indicative of the need for countries to develop a framework that will provide guidance for the management of public health data. Such a framework should ensure that data collected during public health emergencies are accessible to the appropriate authorities and in a form that can help with timely decision-making during such public health crises. In this article, we highlight available open data policies across many countries, including in the Americas. Our analysis shows that there are currently no articulated policy guidelines for the collection and management of public health data across many countries, especially in Latin America. We propose that any national data governance strategy must address potential benefits, possible risks, examples of data that could be shared, and the attributes of such data. Finally, we stress that the key concern in the Americas should be the development of regional frameworks for open data in public health that can be adopted or adapted by each country through appropriate national or subnational policies and strategies.

Este artículo ofrece un panorama de la intersección entre los datos abiertos y la salud pública al definir en primer lugar qué son los datos gubernamentales abiertos, los datos sobre salud pública y otros conceptos fundamentales y términos pertinentes. Hay percepciones dispares sobre la premura y la importancia de la apertura de los datos sobre salud pública. Se ha establecido que los brotes de ciertas enfermedades, como las epidemias por los virus del Ébola y del Zika, demuestran la necesidad de que los países elaboren un marco que oriente la gestión de los datos sobre salud pública. Dicho marco debe garantizar que los datos recopilados durante las emergencias de salud pública sean accesibles para las autoridades competentes y en una forma que contribuya a la toma oportuna de decisiones durante estas crisis de salud pública. En este artículo, destacamos las políticas de datos abiertos existentes en diversos países, incluidos varios de la Región de las Américas. Nuestro análisis muestra que actualmente en muchos países no hay directrices articuladas de políticas públicas para la recopilación y gestión de los datos sobre salud pública, en especial en América Latina. Proponemos que toda estrategia nacional de gobernanza relativa a los datos debe abordar los posibles riesgos y beneficios, ejemplos de los datos que podrían compartirse y los atributos de tales datos. Por último, subrayamos que el interés fundamental en la Región de las Américas debe ser la creación de marcos regionales para datos abiertos sobre salud pública que cada país pueda adoptar o adaptar mediante las políticas y estrategias nacionales o subnacionales apropiadas.

Este artigo expõe um panorama da interseção entre dados abertos e saúde pública, começando por definir o que são dados abertos do governo, dados de saúde pública e outros conceitos fundamentais e terminologias relevantes. Existem distintas percepções quanto à premência e à importância da abertura de dados de saúde pública. Reconhecidamente, os surtos de doenças, como os ocorridos nas epidemias do vírus Ebola e vírus zika, apontam para a necessidade de os países desenvolverem uma estrutura para direcionar o gerenciamento dos dados de saúde pública. Esta estrutura deve servir para garantir que os dados coletados nas emergências de saúde pública estejam acessíveis às autoridades cabíveis em uma forma que possa subsidiar a tomada de decisão oportuna durante tais crises de saúde pública. No artigo, destacam-se as políticas de dados abertos de diversos muitos países, inclusive dos países na Região das Américas. Nossa análise demonstra que vários países, sobretudo na América Latina, não possuem diretrizes claramente definidas de políticas para a coleta e o gerenciamento de dados de saúde pública. Recomendamos que qualquer estratégia nacional de governança de dados nacionais precisa contemplar os possíveis benefícios e riscos, explicitar os dados a ser compartilhados assim como descrever os atributos de tais dados. Por fim, salientamos que a principal preocupação nas Américas deve ser o desenvolvimento de estruturas regionais para dados abertos em saúde pública que possam ser postas em prática ou adaptadas por cada país como parte de estratégias e políticas nacionais ou subnacionais adequadas.

Mobile Platform for Multiplexed Detection and Differentiation of Disease-Specific Nucleic Acid Sequences, Using Microfluidic Loop-Mediated Isothermal Amplification and Smartphone Detection.

New tools are needed to enable rapid detection, identification, and reporting of infectious viral and microbial pathogens in a wide variety of point-of-care applications that impact human and animal health. We report the design, construction, and characterization of a platform for multiplexed analysis of disease-specific DNA sequences that utilizes a smartphone camera as the sensor in conjunction with a hand-held "cradle" that interfaces the phone with a silicon-based microfluidic chip embedded within a credit-card-sized cartridge. Utilizing specific nucleic acid sequences for four equine respiratory pathogens as representative examples, we demonstrated the ability of the system to utilize a single 15 µL droplet of test sample to perform selective positive/negative determination of target sequences, including integrated experimental controls, in approximately 30 min. Our approach utilizes loop-mediated isothermal amplification (LAMP) reagents predeposited into distinct lanes of the microfluidic chip, which when exposed to target nucleic acid sequences from the test sample, generates fluorescent products that when excited by appropriately selected light emitting diodes (LEDs), are visualized and automatically analyzed by a software application running on the smartphone microprocessor. The system achieves detection limits comparable to those obtained by laboratory-based methods and instruments. Assay information is combined with the information from the cartridge and the patient to populate a cloud-based database for epidemiological reporting of test results.

Fear on the networks: analyzing the 2014 Ebola outbreak.

During the 2014 Ebola outbreak, information spread via multiple platforms, including social networks and Internet search engines. This report analyzes Twitter tweets, Facebook posts, and Google trends, as well as several other Internet resources, from March - November 2014. Understanding the types of discussions, social behaviors, feelings expressed, and information shared during the Ebola outbreak can help health organizations improve communication interventions and avert misinformation and panic during health emergencies. In all, 6 422 170 tweets, 83 Facebook posts, and Google search trends were integrated with 63 chronological Ebola-related events. Events that prompted a surge in tweets using #ebola were related to new cases of infection or the entry of the disease into a new goegraphic area. Most tweets were re-tweets of information provided by news agencies and official health organizations. Events related to new infections and deaths seemed to correlate with an increase of words that express fear. Google results concurred with Twitter and Facebook. Data from social media activity can be used to form hypotheses about how the public responds to and behaves during public health events, prompting health organizations to adopt new strategies for communications interventions. Furthermore, a spike in activity around a topic can be used as a surveillance technique to signal to health authorities that an outbreak may be underway. It is also recommended that news agencies, which engage with the public most often, consider content review by health experts as part of their health communications process.

Durante el brote de ébola del 2014, se difundió información por medio de varias plataformas, entre ellas las redes sociales y los motores de búsqueda de Internet. En este informe se analizan los tuits en Twitter, los mensajes publicados en Facebook y las tendencias de búsqueda en Google, así como varios recursos más en Internet, en el período comprendido entre marzo y noviembre del 2014. La comprensión de los tipos de conversaciones, el comportamiento social, los sentimientos expresados y la información transmitida durante el brote de ébola puede ayudar a las organizaciones de salud a mejorar sus intervenciones en materia de comunicación y evitar la información incorrecta y el pánico que se pueden propagar durante las emergencias de salud.En total, se integraron 6 422 170 tuits, 83 mensajes de Facebook y las tendencias de búsqueda en Google con 63 eventos cronológicos relacionados con ébola. Los eventos que dieron lugar a un incremento de los tuits con la etiqueta #ebola estaban relacionados con nuevos casos de infección o la entrada de la enfermedad en una nueva zona geográfica. La mayor parte de los tuits eran reenvíos de información suministrada por las agencias de noticias y las organizaciones de salud oficiales. Los eventos relacionados con nuevas infecciones y defunciones parecían guardar correlación con un aumento del uso de palabras que expresaban temor. Los resultados de Google coincidían con Twitter y Facebook.Se pueden emplear datos provenientes de la actividad de las redes sociales para formar hipótesis sobre el modo en que el público responde a los eventos de salud pública y en que se comporta durante ellos, e incitar a las organizaciones de salud a que adopten nuevas estrategias para las intervenciones en materia de comunicación. Además, se pueden usar los aumentos de la actividad en torno a un tema como técnica de vigilancia para señalar a las autoridades de salud que es posible que haya un brote. Se recomienda también que las agencias de noticias, que interactúan con el público con más frecuencia, consideren la posibilidad de contar con expertos en salud para examinar los contenidos en el marco de su proceso de comunicación para la salud.

No transcurso do surto de Ebola de 2014, a informação se espalhou por diversas plataformas como as redes sociais e os mecanismos de busca da internet. Este artigo examina as mensagens no Twitter, postagens no Facebook e tendências no Google e outras mídias digitais no período de março a novembro de 2014. Entender as formas de discussões, comportamentos sociais, sentimentos expressos e informações partilhadas no decorrer do surto de Ebola pode contribuir para melhorar as intervenções em comunicação por parte das organizações de saúde e evitar a desinformação e o pânico em situações de emergência em saúde.Ao todo, 6.422.170 mensagens no Twitter, 83 postagens no Facebook e tendências de busca no Google foram correlacionadas a 63 eventos cronológicos relativos ao surto de Ebola. Os eventos que suscitaram um aumento no número de mensagens no Twitter com o hashtag #ebola foram a ocorrência de novos casos de infecção ou o surgimento da doença em outras áreas geográficas. Grande parte da atividade no Twitter consistiu no reenvio de mensagens com informações fornecidas pelas agências de notícias e organizações oficiais de saúde. Os eventos relacionados a novas infecções e mortes aparentemente se correlacionaram ao uso de um maior número de palavras que expressam temor. Os resultados do Google coincidiram com os do Twitter e Facebook. A análise da atividade nas mídias sociais permite formular hipóteses sobre a reação e o comportamento do público em situações de risco em saúde pública, motivando o uso de novas estratégias de comunicação por parte das organizações de saúde. Um pico de atividade em torno de um assunto pode ser um recurso de vigilância usado pelas autoridades sanitárias para sinalizar a possível ocorrência de um surto. Também se recomenda às agências de notícias, por estarem em contato constante com o público, integrar a análise do conteúdo por especialistas em saúde ao processo de comunicação de assuntos em saúde.

Tyrosine phosphorylation regulates the endocytosis and surface expression of GluN3A-containing NMDA receptors.

Selective control of receptor trafficking provides a mechanism for remodeling the receptor composition of excitatory synapses, and thus supports synaptic transmission, plasticity, and development. GluN3A (formerly NR3A) is a nonconventional member of the NMDA receptor (NMDAR) subunit family, which endows NMDAR channels with low calcium permeability and reduced magnesium sensitivity compared with NMDARs comprising only GluN1 and GluN2 subunits. Because of these special properties, GluN3A subunits act as a molecular brake to limit the plasticity and maturation of excitatory synapses, pointing toward GluN3A removal as a critical step in the development of neuronal circuitry. However, the molecular signals mediating GluN3A endocytic removal remain unclear. Here we define a novel endocytic motif (YWL), which is located within the cytoplasmic C-terminal tail of GluN3A and mediates its binding to the clathrin adaptor AP2. Alanine mutations within the GluN3A endocytic motif inhibited clathrin-dependent internalization and led to accumulation of GluN3A-containing NMDARs at the cell surface, whereas mimicking phosphorylation of the tyrosine residue promoted internalization and reduced cell-surface expression as shown by immunocytochemical and electrophysiological approaches in recombinant systems and rat neurons in primary culture. We further demonstrate that the tyrosine residue is phosphorylated by Src family kinases, and that Src-activation limits surface GluN3A expression in neurons. Together, our results identify a new molecular signal for GluN3A internalization that couples the functional surface expression of GluN3A-containing receptors to the phosphorylation state of GluN3A subunits, and provides a molecular framework for the regulation of NMDAR subunit composition with implications for synaptic plasticity and neurodevelopment.

MENDS-on-FHIR: leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance.

Objectives: The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a population-based chronic disease surveillance distributed data network that uses institution-specific extraction-transformation-load (ETL) routines. MENDS-on-FHIR examined using Health Language Seven's Fast Healthcare Interoperability Resources (HL7® FHIR®) and US Core Implementation Guide (US Core IG) compliant resources derived from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to create a standards-based ETL pipeline. Materials and Methods: The input data source was a research data warehouse containing clinical and administrative data in OMOP CDM Version 5.3 format. OMOP-to-FHIR transformations, using a unique JavaScript Object Notation (JSON)-to-JSON transformation language called Whistle, created FHIR R4 V4.0.1/US Core IG V4.0.0 conformant resources that were stored in a local FHIR server. A REST-based Bulk FHIR $export request extracted FHIR resources to populate a local MENDS database. Results: Eleven OMOP tables were used to create 10 FHIR/US Core compliant resource types. A total of 1.13 trillion resources were extracted and inserted into the MENDS repository. A very low rate of non-compliant resources was observed. Discussion: OMOP-to-FHIR transformation results passed validation with less than a 1% non-compliance rate. These standards-compliant FHIR resources provided standardized data elements required by the MENDS surveillance use case. The Bulk FHIR application programming interface (API) enabled population-level data exchange using interoperable FHIR resources. The OMOP-to-FHIR transformation pipeline creates a FHIR interface for accessing OMOP data. Conclusion: MENDS-on-FHIR successfully replaced custom ETL with standards-based interoperable FHIR resources using Bulk FHIR. The OMOP-to-FHIR transformations provide an alternative mechanism for sharing OMOP data.

Comparing Naturalistic Mental Health Expressions on Student Loan Debts Using Reddit and Twitter.

PURPOSE: The primary objective of this study was to identify patterns in users' naturalistic expressions on student loans on two social media platforms. The secondary objective was to examine how these patterns, sentiments, and emotions associated with student loans differ in user posts indicating mental illness. MATERIAL AND METHOD: Data for this study were collected from Reddit and Twitter (2009-2020, n = 85,664) using certain key terms of student loans along with first-person pronouns as a triangulating measure of posts by individuals. Unsupervised and supervised machine learning models were used to analyze the text data. RESULTS: Results suggested 50 topics in reddit finance and 40 each in reddit mental health communities and Twitter. Statistically significant associations were found between mental illness statuses and sentiments and emotions. Posts expressing mental illness showed more negative sentiments and were more likely to express sadness and fear. DISCUSSION AND CONCLUSION: Patterns in social media discussions indicate both academic and non-academic consequences of having student debt, including users' desire to know more about their debts. Interventions should address the skill and information gaps between what is desired by the borrowers and what is offered to them in understanding and managing their debts. Cognitive burden created by student debts manifest itself on social media and can be used as an important marker to develop a nuanced understanding of people's expressions on a variety of socioeconomic issues. Higher volumes of negative sentiments and emotions of sadness, fear, and anger warrant immediate attention of policymakers and practitioners to reduce the cognitive burden of student debts.