Italian Wikipedia and epilepsy: an infodemiological study of online information-seeking behavior

Wikipedia is the most commonly accessed source of health information by both healthcare professionals and the lay public worldwide. We aimed to evaluate information-seeking behavior of Internet users searching the Italian Wikipedia for articles related to epilepsy and its treatment. Using Pageviews Analysis, we assessed the total and mean monthly views of articles from the Italian Wikipedia devoted to epilepsy, epileptic syndromes, seizure type, and antiepileptic drugs (AEDs) from January 1, 2015 to October 31, 2017. We compared the views of the article on epilepsy with those of articles focusing on Alzheimer's disease, migraine, multiple sclerosis, syncope, and stroke and adjusted all results for crude disease prevalence. With the only exception of the article on multiple sclerosis, the adjusted views for the Italian Wikipedia article on epilepsy were higher than those for the other neurological disorders. The most viewed articles on seizure type were devoted to tonic-clonic seizure, typical absence seizure, tonic convulsive seizures, and clonic convulsive seizures. The most frequently accessed articles on epilepsy syndromes were about temporal lobe epilepsy and Lennox-Gastaut syndrome. The most frequently viewed articles on AEDs were devoted to valproic acid, carbamazepine, and levetiracetam. Wikipedia searches seem to mirror patients' fears and worries about epilepsy more than its actual epidemiology. The ultimate reasons for searching online remain unknown. Epileptologists and epilepsy scientific societies should make greater efforts to work jointly with Wikipedia to convey more accurate and up-to-date information about epilepsy

Using Search Queries to Understand Health Information Needs in Africa

The lack of comprehensive, high-quality health data in developing nations creates a roadblock for combating the impacts of disease. One key challenge is understanding the health information needs of people in these nations. Without understanding people's everyday needs, concerns, and misconceptions, health organizations and policymakers lack the ability to effectively target education and programming efforts. In this paper, we propose a bottom-up approach that uses search data from individuals to uncover and gain insight into health information needs in Africa. We analyze Bing searches related to HIV/AIDS, malaria, and tuberculosis from all 54 African nations. For each disease, we automatically derive a set of common search themes or topics, revealing a wide-spread interest in various types of information, including disease symptoms, drugs, concerns about breastfeeding, as well as stigma, beliefs in natural cures, and other topics that may be hard to uncover through traditional surveys. We expose the different patterns that emerge in health information needs by demographic groups (age and sex) and country. We also uncover discrepancies in the quality of content returned by search engines to users by topic. Combined, our results suggest that search data can help illuminate health information needs in Africa and inform discussions on health policy and targeted education efforts both on- and offline.Comment: Extended version of an ICWSM 2019 pape

Facts and Fabrications about Ebola: A Twitter Based Study

Microblogging websites like Twitter have been shown to be immensely useful for spreading information on a global scale within seconds. The detrimental effect, however, of such platforms is that misinformation and rumors are also as likely to spread on the network as credible, verified information. From a public health standpoint, the spread of misinformation creates unnecessary panic for the public. We recently witnessed several such scenarios during the outbreak of Ebola in 2014 [14, 1]. In order to effectively counter the medical misinformation in a timely manner, our goal here is to study the nature of such misinformation and rumors in the United States during fall 2014 when a handful of Ebola cases were confirmed in North America. It is a well known convention on Twitter to use hashtags to give context to a Twitter message (a tweet). In this study, we collected approximately 47M tweets from the Twitter streaming API related to Ebola. Based on hashtags, we propose a method to classify the tweets into two sets: credible and speculative. We analyze these two sets and study how they differ in terms of a number of features extracted from the Twitter API. In conclusion, we infer several interesting differences between the two sets. We outline further potential directions to using this material for monitoring and separating speculative tweets from credible ones, to enable improved public health information.Comment: Appears in SIGKDD BigCHat Workshop 201

The 2016 HIGh Heels: Health effects and psychosexual benefITS (HIGH HABITS) study : systematic review of reviews and additional primary studies

Acknowledgements We thank S.M. Barran (Guy’s and St Thomas NHS Foundation Trust) for general comments on the topic and its social context. We thank S. Reynolds for comments as a member of the public on the introduction and discussion, in particular with regard to the social context of the work. Funding This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.Peer reviewedPublisher PD

Breaking the Silence Surrounding Hepatitis C by Promoting Self-Efficacy: A Study of Hepatitis C Public Service Announcements

Hepatitis C (HCV) is the most common chronic blood borne virus in the United States. Despite this fact, there is a startling lack of awareness about HCV among individuals who may have contracted the virus. This study, grounded in self-efficacy theory, analyzes public service announcements (PSAs) for HCV. Using focus groups to contextualize the responses of individuals living with HCV, the authors conclude that stigma and structural barriers pose the greatest challenges for health communicators trying to reach at-risk populations. The findings suggest that expanded use of celebrity appeals, realistic drug portrayals, more extensive use of social networking in tandem with non-traditional media, and tapping into veterans, while minimizing fear tactics and maximizing self-efficacy messages, offer new hope for successful health communication strategies. With 3.9 million people in the United States infected with HCV, this study offers urgently needed communications strategies to address this silent epidemic

An Examination of Internet Search Behavior and Completed Suicide Rates Across the United States

Suicide remains a leading cause of death in the US (CDC, 2021; Murphy et al., 2018). The literature has shown that individuals seeking information on personal or sensitive topics are likely to utilize the internet (Jacobs et al., 2017; Mok et al., 2015; Pew Research Center, 2019). Research also suggests that internet search behavior can be utilized to track and predict disease outbreak effectively, as well as other public health trends across the nation (Paparrizos et al., 2016; Parker, et al., 2017). Moreover, implicit associations related to suicide have been identified as strong predictors of future suicide (Millner et al., 2018; Nock & Banaji, 2007; Nock et al., 2010). Therefore, internet search behavior related to suicide (especially that which reflects implicit associations between suicide and self) should be explored in order to determine if meaningful relationships exist between search activity and trends in suicide deaths. The purpose of this study was to determine whether a relationship exists between internet search behavior related to suicide and the completed suicide rate throughout the US. Hypotheses for this study were that suicide-related searches are positively predictive of the number of deaths by suicide, while life-affirming searches are negatively predictive of the number of deaths by suicide. In addition, it was hypothesized that frequency of searches for suicide-related terms are higher during the peak suicide month for each state in 2019. Search data from Google trends was statistically analyzed, along with CDC suicide mortality statistics for 2019. Results indicate that the search phrases how to kill myself and painless death were predictive of completed suicide nationally during 2019. Findings could help to inform future suicide prevention strategies utilizing technology

Media reporting of suicide and adherence to media guidelines

Background: International research consistently shows evidence for an association between sensationalised and detailed media reporting, and suicidal behaviour. Aim: This study examined the quality of media reporting of suicide and adherence to media guidelines in Ireland. Methods: In accordance with the criteria outlined in the media guidelines for reporting suicide, 243 media articles were screened and analysed for quality of reporting of two high-profile cases of suicide and two cases of suicide that became high profile following a period of intense media coverage that occurred between September 2009 and December 2012. Results: A minority of articles breached the media guidelines in relation to sensationalised language (11.8%), placement of reports on the front page of the newspaper (9.5%), publishing of inappropriate photographs (4.2%) and mention of location of suicide (2.4%), while no articles disclosed the contents of a suicide note. However, in the majority of articles analysed, journalists did not refer to appropriate support services for people vulnerable to, and at risk of suicide (75.8%) or mention wider issues that are related to suicidal behaviour (53.8%). Overemphasis of community grief (48.3%) was also common. Nearly all articles (99.2%) breached at least one guideline and 58.9% of articles breached three or more guidelines. Conclusion: Overall, adherence to media guidelines on reporting suicide in Ireland improved in certain key areas from September 2009 until December 2012. Nonetheless, important challenges remain. Increased monitoring by media monitoring agencies, regulators and government departments is required. Implementation should be conducted using a pro-active approach and form part of the curriculum of journalists and editors. The inclusion of guidelines for the reporting of suicidal behaviour in press codes of conduct for journalists warrants consideration

Mental health-related conversations on social media and crisis episodes: a time-series regression analysis

We aimed to investigate whether daily fluctuations in mental health-relevant Twitter posts are associated with daily fluctuations in mental health crisis episodes. We conducted a primary and replicated time-series analysis of retrospectively collected data from Twitter and two London mental healthcare providers. Daily numbers of ‘crisis episodes’ were defined as incident inpatient, home treatment team and crisis house referrals between 2010 and 2014. Higher volumes of depression and schizophrenia tweets were associated with higher numbers of same-day crisis episodes for both sites. After adjusting for temporal trends, seven-day lagged analyses showed significant positive associations on day 1, changing to negative associations by day 4 and reverting to positive associations by day 7. There was a 15% increase in crisis episodes on days with above-median schizophrenia-related Twitter posts. A temporal association was thus found between Twitter-wide mental health-related social media content and crisis episodes in mental healthcare replicated across two services. Seven-day associations are consistent with both precipitating and longer-term risk associations. Sizes of effects were large enough to have potential local and national relevance and further research is needed to evaluate how services might better anticipate times of higher risk and identify the most vulnerable groups