Mining social media data for biomedical signals and health-related behavior

Social media data has been increasingly used to study biomedical and health-related phenomena. From cohort level discussions of a condition to planetary level analyses of sentiment, social media has provided scientists with unprecedented amounts of data to study human behavior and response associated with a variety of health conditions and medical treatments. Here we review recent work in mining social media for biomedical, epidemiological, and social phenomena information relevant to the multilevel complexity of human health. We pay particular attention to topics where social media data analysis has shown the most progress, including pharmacovigilance, sentiment analysis especially for mental health, and other areas. We also discuss a variety of innovative uses of social media data for health-related applications and important limitations in social media data access and use.Comment: To appear in the Annual Review of Biomedical Data Scienc

Social Role Transitions and Technology: Societal Change and Coping in Online Communities

Technological and societal changes unfold in relation to one another. Many events like becoming a parent, getting divorced, or getting a medical diagnosis dictate a change in one’s social role. Social role transition can have negative consequences including stress, stigmatization, and disempowerment. Social interactions, especially communicating with allies and those facing similar conditions, can alleviate the psychological burden of these challenges. The goal of this dissertation is to understand how people use technology to cope with social role change, and how the features of different online communities provide a range of ways to make sense of their social role transition, find support, and advocate for change. In the first study (Chapter 3), I qualitatively analyze interviews with fathers and a sam- ple of father blogs to show how fathers use do-it-yourself (DIY) language on blogs and in their online interactions as a means of redefining fatherhood. Fathers use the DIY concept to build their own father-centric online communities in order to manage some of the disad- vantages associated with the lack of parenting online communities that cater to them. This new framing of fatherhood allows fathers to make sense of their new role as parents, and at the same time, to redefine the social norms around fatherhood. In Chapter 4, I study how parents use social media sites at scale using natural language processing. The focus of the analysis is on Reddit, a social media site that allows users to comment under pseudonyms. I find that parents use pseudonymous social media sites to discuss topics that might otherwise be considered too sensitive to discuss on real-name social media sites such as Facebook (e.g., breastfeeding and sleep training). This study also outlines similarities and differences in discussion topics among mothers and father on Reddit (e.g., mothers discussing breastfeeding and fathers discussing divorce and custody). Finally, in Chapter 5, I use computational and qualitative methods to study how anony- mous accounts on Reddit (throwaway accounts) provide parents with varying levels of anonymity as they cope with social role changes by sharing potentially stigmatizing infor- mation (e.g., postpartum depression) or advocating for stigmatized identities (e.g., divorced fathers). Finally, based on my findings, I present design recommendations that could pro- mote better social support on platforms beyond Reddit.PHDInformationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/162933/1/tawfiqam_1.pd

The Effects of Narrative- Versus Science-oriented Messages on Parents’ Attitude Towards MMR Vaccine: The Moderation of Conspiracy Beliefs in Vaccination

Research background: Vaccine hesitancy is ranked as a top ten global health threat by the WHO. One of the most skeptical childhood vaccines is MMR vaccine. Having a high level of conspiracy beliefs is one of the strongest psychological predictors contributing to vaccine hesitancy and anti-vaccination. The current study aims to: 1) compare the effectiveness of scientific- versus narrative-based messages in promoting positive outcomes related to MMR vaccination tendency, and 2) understand the effectiveness of the TPB versus Affect Heuristic theory in explaining vaccination behavior among VHPs.Method: A total of 438 VHPs were randomly assigned into one of the four experimental messages: no exposure (n = 107), scientific (n = 111), narrative (n = 109), hybrid (i.e., narrative and scientific) (n = 111). Outcomes include vaccination intention, vaccine hesitancy, perceived risk toward measles and MMR vaccination, perceived benefit toward MMR vaccination, positive affect toward vaccination, attitudes toward vaccination and measles, subjective norms, and behavioral control toward MMR vaccination. ANOVA, multiple regression analysis, and the Johnson Neyman technique were implemented. Results: ANOVA suggested significant differences among the four message conditions in predicting vaccination intention, positive affect, and perceived benefits. Pairwise comparisons using Bonferroni adjustments suggested only exposure to hybrid messages significantly increased vaccination intention, positive affect, and perceived benefit toward vaccination compared to the control condition. However, the scientific message and narrative found no differences from each other, from the control group, and from the hybrid message. Considered general conspiracy belief (GCB) as the moderator, narrative message significantly increased MMR vaccination intention and positive affect only among those with a low to average GCB. No interaction effects were found for other interactions and outcomes. Unsurprisingly, when vaccination conspiracy beliefs was included as the moderator, none of the messages was effective in predicting the positive outcomes. Discussion: Hybrid and narrative messages promoting MMR vaccination are effective among general VHPs and VHPs with GCB, respectively. Affect heuristic theory is more effective in explaining the behavioral change of VHPs than the TPB. Additionally, tailoring messages according to individuals' information processing styles could be an effective health communication strategy

One Health for Dog-mediated Rabies Elimination in Asia. A Collection of Local Experiences

Although an effective human rabies vaccine has existed since 1885, rabies continues to kill an estimated 59,000 people every year. Sixty per cent of these human deaths occur in Asia. The number of animals, especially dogs, who die of rabies is uncalculated. To work towards the global target of eliminating dog-mediated human rabies deaths, the rabies community is applying the One Health approach by jointly focusing on humans and dogs. Written by a multidisciplinary group of scholars and rabies control programme specialists, this book is a collection of experiences and observations on the challenges and successes along the path to rabies control and prevention in Asia. The book: grounds chapters in solid scientific theory, but retains a direct, practice-focused and inspirational approach;provides numerous examples of lessons learned and experience-based knowledge gained across countries at different levels of rabies elimination;brings together and highlights the practices of a strong, international rabies network that works according to the One Health concept. Covering perspectives from almost a dozen Asian countries and a wide range of sectors and disciplines, such as healthcare facilities, veterinary services, laboratories, public health institutes, wildlife research centres and academia, this book is an invaluable resource for rabies practitioners and scholars, but also those working in the wider fields of disease control and cross-sectoral One Health

Exploring perspectives of people with type-1 diabetes on goalsetting strategies within self-management education and care

Background. Collaborative goal-setting strategies are widely recommended for diabetes self-management support within healthcare systems. Creating self-management plans that fit with peoples’ own goals and priorities has been linked with better diabetic control. Consequently, goal-setting has become a core component of many diabetes selfmanagement programmes such as the ‘Dose Adjustment for Normal Eating (DAFNE) programme’. Within DAFNE, people with Type-1 Diabetes (T1D) develop their own goals along with action-plans to stimulate goal-achievement. While widely implemented, limited research has explored how goal-setting strategies are experienced by people with diabetes.Therefore, this study aims to explore the perspectives of people with T1D on theimplementation and value of goal-setting strategies within DAFNE and follow-up diabetes care. Furthermore, views on barriers and facilitators to goal-attainment are explored.Methods. Semi-structured interviews were conducted with 20 people with T1D who attended a DAFNE-programme. Following a longitudinal qualitative research design, interviews took place 1 week, and 6-8 months after completion of DAFNE. A recurrent cross-sectional approach is applied in which themes will be identified at each time-point using thematic analyses.Expected results. Preliminary identified themes surround the difference in value that participants place on goal-setting strategies, and the lack of support for goal-achievement within diabetes care.Current stage. Data collection complete; data-analysis ongoing.Discussion. Goal-setting strategies are increasingly included in guidelines for diabetes support and have become essential parts of many primary care improvement schemes. Therefore, exploring the perspectives of people with T1D on the value and implementation of goal-setting strategies is vital for their optimal application