The 'who' and 'what' of #diabetes on Twitter

Social media are being increasingly used for health promotion, yet the landscape of users, messages and interactions in such fora is poorly understood. Studies of social media and diabetes have focused mostly on patients, or public agencies addressing it, but have not looked broadly at all the participants or the diversity of content they contribute. We study Twitter conversations about diabetes through the systematic analysis of 2.5 million tweets collected over 8 months and the interactions between their authors. We address three questions: (1) what themes arise in these tweets?, (2) who are the most influential users?, (3) which type of users contribute to which themes? We answer these questions using a mixed-methods approach, integrating techniques from anthropology, network science and information retrieval such as thematic coding, temporal network analysis, and community and topic detection. Diabetes-related tweets fall within broad thematic groups: health information, news, social interaction, and commercial. At the same time, humorous messages and references to popular culture appear consistently, more than any other type of tweet. We classify authors according to their temporal 'hub' and 'authority' scores. Whereas the hub landscape is diffuse and fluid over time, top authorities are highly persistent across time and comprise bloggers, advocacy groups and NGOs related to diabetes, as well as for-profit entities without specific diabetes expertise. Top authorities fall into seven interest communities as derived from their Twitter follower network. Our findings have implications for public health professionals and policy makers who seek to use social media as an engagement tool and to inform policy design.Comment: 25 pages, 11 figures, 7 tables. Supplemental spreadsheet available from http://journals.sagepub.com/doi/suppl/10.1177/2055207616688841, Digital Health, Vol 3, 201

Using Social Media to build a Counter-Power Movement: Multiple Sclerosis and CCSVI, a Case Study

The research is focused on a patient-based social media movement which advocated for clinical research into a discovery rejected by key elements of the medical establishment. This thesis aims to examine how social media interactions empowered patients, what motivated them to become a movement, and the elements which propelled the movement to create alternative patient associations. This research comprises 62 individual, in-person, audio-recorded interviews with movement activists, and the researcher’s autoethnography as the founder and administrator of the movement’s Facebook Page. These methods are triangulated with academic publications, newspaper and television news, as well as other publicly-sourced materials relating to the case study. The research finds that while the movement’s activities, from planning through protest, occurred solely on the streets of social media, activists experienced the same passion and urgency as the academic literature has described for on-the-street activists. That is, social media paralleled the “real streets” as a forum for the movement’s core activities. The research further finds that the traditional patient associations’ initial strategy of stonewalling the contested discovery was undercut by the momentum of the social media movement’s activities. They subsequently sought to quell the movement by lambasting social media as well as deploying a co-optation strategy, as described by the activists. To conclude, social media function as streets and city halls where decisions taken can be implemented in the real world and permit geographically distributed as well as differently abled people to gather in significant numbers. The space where human interactions can foster social life and deepen personal emotional relations could be named the space of humanity. This is the space where timeless time and the realities of the counter power experience can happen, independent of whether that space is surrounded by real or digital bricks

Influence of Exercise on Opioid Withdrawal

Opioids are a class of drug normally associated with analgesia (reduced pain) (Chahl, L., 1996). In other words, when an opioid activates mu opioid receptors, it can result in an analgesic response. Unfortunately, it is also known to produce dependence in some patients. Dependence can also lead to unwanted side effects such as withdrawal. Treating dependence can be challenging because of the discomfort of withdrawal. This study evaluated if exercise such as running, can help decrease the severity of withdrawal, after the animals have developed a tolerance to the opioid. This project is trying to mediate the strength of withdrawal. Research has linked physical activity to improvements in cognition and overall brain function in the human body (Hillman, et al., Kramer, 2008). Non-human animal model allows access to causal mechanisms of whether exercise can reduce opioid tolerance in general. If exercise can reduce symptoms of withdrawal, it can inform clinical models and treatment facilities managing patients with opioid abuse

Washington University Record, September 13, 2007

https://digitalcommons.wustl.edu/record/2116/thumbnail.jp

COVID-19 datasets : a brief overview

The outbreak of the COVID-19 pandemic affects lives and social-economic development around the world. The affecting of the pandemic has motivated researchers from different domains to find effective solutions to diagnose, prevent, and estimate the pandemic and relieve its adverse effects. Numerous COVID-19 datasets are built from these studies and are available to the public. These datasets can be used for disease diagnosis and case prediction, speeding up solving problems caused by the pandemic. To meet the needs of researchers to understand various COVID-19 datasets, we examine and provide an overview of them. We organise the majority of these datasets into three categories based on the category of ap-plications, i.e., time-series, knowledge base, and media-based datasets. Organising COVID-19 datasets into appropriate categories can help researchers hold their focus on methodology rather than the datasets. In addition, applications and COVID-19 datasets suffer from a series of problems, such as privacy and quality. We discuss these issues as well as potentials of COVID-19 datasets. © 2022, ComSIS Consortium. All rights reserved

The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic

Twitter is a free social networking and micro-blogging service that enables its millions of users to send and read each other's “tweets,” or short, 140-character messages. The service has more than 190 million registered users and processes about 55 million tweets per day. Useful information about news and geopolitical events lies embedded in the Twitter stream, which embodies, in the aggregate, Twitter users' perspectives and reactions to current events. By virtue of sheer volume, content embedded in the Twitter stream may be useful for tracking or even forecasting behavior if it can be extracted in an efficient manner. In this study, we examine the use of information embedded in the Twitter stream to (1) track rapidly-evolving public sentiment with respect to H1N1 or swine flu, and (2) track and measure actual disease activity. We also show that Twitter can be used as a measure of public interest or concern about health-related events. Our results show that estimates of influenza-like illness derived from Twitter chatter accurately track reported disease levels

Emotional Support, Perceived Corporate Ownership and Skepticism toward Out-groups in Virtual Communities

Consumers often look to virtual communities for knowledge and support in overcoming the challenges they face. This article examines the role of emotional support in virtual communities that help participants to cope with personal challenges such as healthcare, financial or legal matters. It examines the potential for peer to peer emotional support experienced in virtual communities to generate skepticism toward related out-groups such as doctors and drug companies. It also examines the degree to which corporate ownership of the virtual community reduces the degree to which emotional support generates skepticism toward out-groups. Guided by predictions of social identity theory, we use data from 270 regular participants in healthcare virtual communities to show that emotional support does generate skepticism toward out-groups. However, we find that this effect is reversed when the virtual community is reported by participants to be corporate owned. We offer guidance to public policy makers on the potential negative consequences of skepticism and we provide advice to managers on how to counter skepticism and improve community stickiness

Improving Health and Efficiency With Strategic Social Media Use in Health Organizations: A Critical Review of the Status Quo

The emergence of social networking systems as mainstream applications and an inherent element of daily life is a phenomenon observed throughout the world as the worldwide social media users exceeds 2.7 billion. Similar to other sectors, healthcare organizations have also started benefiting from social media in distinct ways such as collecting feedback, educating, communicating and supporting patients and citizens. Social networks can act as remarkable channels for healthcare providers, governmental institutions, pharmaceutical companies, hospitals and others to educate, communicate to, listen, connect to and engage existing and potential customers, patients, physicians and healthcare professionals. Despite the various benefits offered, health institutions, health professionals and stakeholders are reluctant to utilize social media due to several barriers and lack of expertise. This chapter aims to provide a better understanding on the ways healthcare companies can utilize social networks in detail to overcome use barriers and obtain related benefits

Social Activism with Extra Sauce: How Food Communication Increases Political Awareness in Social Media

This project explores the combination of social media and food communication and challenges the prevailing belief that food on social media is trivial, frivolous, and unmeaning. This paper will explain why social media, as well as food communication, are both influential and powerful tools for activism. To prove this, I analyze Twitter posts through Storify. Ultimately, I draw conclusions about the influence of food in activism on social media. The lack of and restrictions on data available are discussed as examples of how valuable and crucial this information is, ultimately displaying that social media is not as democratic as currently perceived