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https://www.readbyqxmd.com/read/28729711/an-ecological-and-digital-epidemiology-analysis-on-the-role-of-human-behavior-on-the-2014-chikungunya-outbreak-in-martinique
#1
Benjamin Roche, Béatrice Gaillard, Lucas Léger, Renélise Pélagie-Moutenda, Thomas Sochacki, Bernard Cazelles, Martine Ledrans, Alain Blateau, Didier Fontenille, Manuel Etienne, Frédéric Simard, Marcel Salathé, André Yébakima
Understanding the spatio-temporal dynamics of endemic infections is of critical importance for a deeper understanding of pathogen transmission, and for the design of more efficient public health strategies. However, very few studies in this domain have focused on emerging infections, generating a gap of knowledge that hampers epidemiological response planning. Here, we analyze the case of a Chikungunya outbreak that occurred in Martinique in 2014. Using time series estimates from a network of sentinel practitioners covering the entire island, we first analyze the spatio-temporal dynamics and show that the largest city has served as the epicenter of this epidemic...
July 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28728037/including-the-online-feedback-site-patient-opinion-in-the-nursing-curriculum-exploratory-study
#2
Ray Jones, Kim Young, James Munro, Heather Miller, Stephanie Brelsford, Jennie Aronsson, Benny Goodman, Jane Peters
BACKGROUND: Globally, universities aim to involve people who use health services to enrich the nursing curriculum for students, but there can be barriers to this involvement. Many also want students to contribute to local communities. Online communication can help connect students to service users to achieve these aims. The online British patient feedback site, Patient Opinion, gathers comments from service users about services and encourages service responses to the comments. OBJECTIVES: To explore the feasibility and acceptability of five ways of including Patient Opinion in the undergraduate nursing curriculum...
July 12, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/28725663/data-for-sochi-2014-olympics-discussion-on-social-media
#3
Andrei P Kirilenko
Presented data is related to the research article "Sochi 2014 Olympics on Twitter: Perspectives of Hosts and Guests" [2].  The data were collected through regular API Twitter search for five months windowing 2014 Sochi Olympic Games and further used for cluster analysis and analysis of the sentiment on the Games. The main dataset contains 616 thousand tweets, rigorously cleaned and filtered to remove irrelevant content. To comply with the Twitter API user agreement, the dataset presented in this article includes only generalized daily data with all information contained in individual tweets removed...
August 2017: Data in Brief
https://www.readbyqxmd.com/read/28723959/a-novel-surveillance-approach-for-disaster-mental-health
#4
Oliver Gruebner, Sarah R Lowe, Martin Sykora, Ketan Shankardass, S V Subramanian, Sandro Galea
BACKGROUND: Disasters have substantial consequences for population mental health. Social media data present an opportunity for mental health surveillance after disasters to help identify areas of mental health needs. We aimed to 1) identify specific basic emotions from Twitter for the greater New York City area during Hurricane Sandy, which made landfall on October 29, 2012, and to 2) detect and map spatial temporal clusters representing excess risk of these emotions. METHODS: We applied an advanced sentiment analysis on 344,957 Twitter tweets in the study area over eleven days, from October 22 to November 1, 2012, to extract basic emotions, a space-time scan statistic (SaTScan) and a geographic information system (QGIS) to detect and map excess risk of these emotions...
2017: PloS One
https://www.readbyqxmd.com/read/28723936/social-sensing-of-urban-land-use-based-on-analysis-of-twitter-users-mobility-patterns
#5
Aiman Soliman, Kiumars Soltani, Junjun Yin, Anand Padmanabhan, Shaowen Wang
A number of recent studies showed that digital footprints around built environments, such as geo-located tweets, are promising data sources for characterizing urban land use. However, challenges for achieving this purpose exist due to the volume and unstructured nature of geo-located social media. Previous studies focused on analyzing Twitter data collectively resulting in coarse resolution maps of urban land use. We argue that the complex spatial structure of a large collection of tweets, when viewed through the lens of individual-level human mobility patterns, can be simplified to a series of key locations for each user, which could be used to characterize urban land use at a higher spatial resolution...
2017: PloS One
https://www.readbyqxmd.com/read/28723474/introducing-the-twitter-impact-factor-an-objective-measure-of-urology-s-academic-impact-on-twitter
#6
Diana Cardona-Grau, Igor Sorokin, Gabriel Leinwand, Charles Welliver
BACKGROUND: Social media use in academia and urology is rising. Specifically, individual journals now have Twitter accounts (Twitter Inc, San Francisco, CA, USA) and regularly tweet academic content. OBJECTIVE: To present and evaluate the Twitter impact factor (TIF), a novel means of measuring a journal's academic influence in the realm of social media. DESIGN, SETTING, AND PARTICIPANTS: Journal Citation Reports (JCR; Thomson Reuters, New York, NY, USA) for 2014 was queried for urologic academic journals...
October 2016: European Urology Focus
https://www.readbyqxmd.com/read/28723265/a-text-mining-analysis-of-the-public-s-reactions-to-the-opioid-crisis
#7
Elizabeth M Glowacki, Joseph B Glowacki, Gary B Wilcox
BACKGROUND: Opioid abuse has become an epidemic in the United States. On August 25, 2016, the former Surgeon General of the United States sent an open letter to care providers asking for their help with combatting this growing health crisis. Social media forums like Twitter allow for open discussions among the public and up-to-date exchanges of information about timely topics like opioids. Therefore, the goal of the current study is to identify the public's reactions to the opioid epidemic by identifying the most popular topics tweeted by users...
July 19, 2017: Substance Abuse
https://www.readbyqxmd.com/read/28721781/tweets-of-the-week
#8
(no author information available yet)
Nurses on Twitter.
July 19, 2017: Nursing Standard
https://www.readbyqxmd.com/read/28719659/dengue-prediction-by-the-web-tweets-are-a-useful-tool-for-estimating-and-forecasting-dengue-at-country-and-city-level
#9
Cecilia de Almeida Marques-Toledo, Carolin Marlen Degener, Livia Vinhal, Giovanini Coelho, Wagner Meira, Claudia Torres Codeço, Mauro Martins Teixeira
BACKGROUND: Infectious diseases are a leading threat to public health. Accurate and timely monitoring of disease risk and progress can reduce their impact. Mentioning a disease in social networks is correlated with physician visits by patients, and can be used to estimate disease activity. Dengue is the fastest growing mosquito-borne viral disease, with an estimated annual incidence of 390 million infections, of which 96 million manifest clinically. Dengue burden is likely to increase in the future owing to trends toward increased urbanization, scarce water supplies and, possibly, environmental change...
July 18, 2017: PLoS Neglected Tropical Diseases
https://www.readbyqxmd.com/read/28719651/link-prediction-on-twitter
#10
Sanda Martinčić-Ipšić, Edvin Močibob, Matjaž Perc
With over 300 million active users, Twitter is among the largest online news and social networking services in existence today. Open access to information on Twitter makes it a valuable source of data for research on social interactions, sentiment analysis, content diffusion, link prediction, and the dynamics behind human collective behaviour in general. Here we use Twitter data to construct co-occurrence language networks based on hashtags and based on all the words in tweets, and we use these networks to study link prediction by means of different methods and evaluation metrics...
2017: PloS One
https://www.readbyqxmd.com/read/28719545/social-media-in-pediatric-orthopaedics
#11
Sarah T Lander, James O Sanders, Peter C Cook, Natasha T O'Malley
BACKGROUND: Internet searches and social media utilization in health care has exploded over the past 5 years, and patients utilize it to gain information on their health conditions and physicians. Social media has the potential to serve as a means for education, communication, and marketing in all health care specialties. Physicians are sometimes reluctant to engage because of concerns of privacy, litigation, and lack of experience with this modality. Many surgical subspecialties have capitalized on social media but no study to date has examined the specific footprint of pediatric orthopaedic surgeons in this realm...
July 17, 2017: Journal of Pediatric Orthopedics
https://www.readbyqxmd.com/read/28719442/social-media-and-pathology-where-are-we-now-and-why-does-it-matter
#12
James Isom, Meggen Walsh, Jerad M Gardner
Social media has exploded in popularity in recent years. It is a powerful new tool for networking, collaborating, and for the communication and evolution of ideas. It has been increasingly used for business purposes and is now being embraced by physicians including pathologists. Pathology professional organizations and even peer-reviewed pathology journals are now beginning to use social media, as well. There are multiple social media platforms, including Twitter, Facebook, Instagram, LinkedIn, and others. Each platform has different audiences and different ways to share content and interact with other users...
July 17, 2017: Advances in Anatomic Pathology
https://www.readbyqxmd.com/read/28719136/comparing-alternative-and-traditional-dissemination-metrics-in-medical-education
#13
Aysah Amath, Kristin Ambacher, John J Leddy, Timothy J Wood, Christopher J Ramnanan
CONTEXT: The impact of academic scholarship has traditionally been measured using citation-based metrics. However, citations may not be the only measure of impact. In recent years, other platforms (e.g. Twitter) have provided new tools for promoting scholarship to both academic and non-academic audiences. Alternative metrics (altmetrics) can capture non-traditional dissemination data such as attention generated on social media platforms. OBJECTIVES: The aims of this exploratory study were to characterise the relationships among altmetrics, access counts and citations in an international and pre-eminent medical education journal, and to clarify the roles of these metrics in assessing the impact of medical education academic scholarship...
July 18, 2017: Medical Education
https://www.readbyqxmd.com/read/28717518/the-sharing-of-radiological-images-by-professional-mixed-martial-arts-fighters-on-social-media
#14
George Rahmani, Cormac W Joyce, Peter McCarthy
BACKGROUND: Mixed martial arts is a sport that has recently enjoyed a significant increase in popularity. This rise in popularity has catapulted many of these "cage fighters" into stardom and many regularly use social media to reach out to their fans. An interesting result of this interaction on social media is that athletes are sharing images of their radiological examinations when they sustain an injury. PURPOSE: To review instances where mixed martial arts fighters shared images of their radiological examinations on social media and in what context they were shared...
June 2017: Acta Radiologica Open
https://www.readbyqxmd.com/read/28713880/finding-street-gang-members-on-twitter
#15
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth
Most street gang members use Twitter to intimidate others, to present outrageous images and statements to the world, and to share recent illegal activities. Their tweets may thus be useful to law enforcement agencies to discover clues about recent crimes or to anticipate ones that may occur. Finding these posts, however, requires a method to discover gang member Twitter profiles. This is a challenging task since gang members represent a very small population of the 320 million Twitter users. This paper studies the problem of automatically finding gang members on Twitter...
August 2016: Proc IEEE ACM Int Conf Adv Soc Netw Anal Min
https://www.readbyqxmd.com/read/28710708/the-bridge-between-design-and-analysis
#16
Jimmie Leppink, Patricia O'Sullivan, Kal Winston
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researchers alike increase awareness of how to use statistics and why/how we fall into inappropriate choices or interpretations. We hope to help readers understand common misconceptions and give clear guidance on how to avoid common pitfalls by offering simple tips to improve your reporting of quantitative research findings. Each entry discusses a commonly encountered inappropriate practice and alternatives from a pragmatic perspective with minimal mathematics involved...
July 14, 2017: Perspectives on Medical Education
https://www.readbyqxmd.com/read/28710057/images-of-little-cigars-and-cigarillos-on-instagram-identified-by-the-hashtag-swisher-thematic-analysis
#17
Jon-Patrick Allem, Patricia Escobedo, Kar-Hai Chu, Tess Boley Cruz, Jennifer B Unger
BACKGROUND: Little cigar and cigarillo use is becoming more prevalent in the United States and elsewhere, with implications for public health. As little cigar and cigarillo use grows in popularity, big social media data (eg, Instagram, Google Web Search, Twitter) can be used to capture and document the context in which individuals use, and are marketed, these tobacco products. Big social media data may allow people to organically demonstrate how and why they use little cigars and cigarillos, unprimed by a researcher, without instrument bias and at low costs...
July 14, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28710054/preliminary-evidence-for-the-emergence-of-a-health-care-online-community-of-practice-using-a-netnographic-framework-for-twitter-hashtag-analytics
#18
Damian Roland, Jesse Spurr, Daniel Cabrera
BACKGROUND: Online communities of practice (oCoPs) may emerge from interactions on social media. These communities offer an open digital space and flat role hierarchy for information sharing and provide a strong group identity, rapid flow of information, content curation, and knowledge translation. To date, there is only a small body of evidence in medicine or health care to verify the existence of an oCoP. OBJECTIVE: We aimed to examine the emergence of an oCoP through the study of social media interactions of the free open access medical education (FOAM) movement...
July 14, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28705550/tweeting-celebrity-suicides-users-reaction-to-prominent-suicide-deaths-on-twitter-and-subsequent-increases-in-actual-suicides
#19
Michiko Ueda, Kota Mori, Tetsuya Matsubayashi, Yasuyuki Sawada
A substantial amount of evidence indicates that news coverage of suicide deaths by celebrities is followed by an increase in suicide rates, suggesting a copycat behavior. However, the underlying process by which celebrity status and media coverage leads to increases in subsequent suicides is still unclear. This study collected over 1 million individual messages ("tweets") posted on Twitter that were related to 26 prominent figures in Japan who died by suicide between 2010 and 2014 and investigated whether media reports on suicide deaths that generated a greater level of reactions by the public are likely to be followed by a larger increase in actual suicides...
June 28, 2017: Social Science & Medicine
https://www.readbyqxmd.com/read/28703055/from-twitter
#20
(no author information available yet)
Nurses on Twitter.
July 13, 2017: Emergency Nurse: the Journal of the RCN Accident and Emergency Nursing Association
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