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https://www.readbyqxmd.com/read/28101876/extraction-of-actionable-information-from-crowdsourced-disaster-data
#1
Rungsun Kiatpanont, Uthai Tanlamai, Prabhas Chongstitvatana
Natural disasters cause enormous damage to countries all over the world. To deal with these common problems, different activities are required for disaster management at each phase of the crisis. There are three groups of activities as follows: (1) make sense of the situation and determine how best to deal with it, (2) deploy the necessary resources, and (3) harmonize as many parties as possible, using the most effective communication channels. Current technological improvements and developments now enable people to act as real-time information sources...
November 2016: Journal of Emergency Management: JEM
https://www.readbyqxmd.com/read/28101285/twitter-as-a-tool-for-teaching-and-communicating-microbiology-the-micromoocsem-initiative
#2
Ignacio López-Goñi, Ma José Martínez-Viñas, Josefa Antón, Víctor J Cid, Ana Martín González, Maryury Brown-Jaque, Juan M García-Lobo, Manuel Sánchez, Juan Ignacio Vilchez, Tatiana Robledo-Mahón, Marina Seder-Colomina, Silvana Teresa Tapia-Paniagua, Alma Hernández de Rojas, Alejandro Mira, José Jesús Gallego-Parrilla, Teresa María López Díaz, Sergi Maicas I Prieto, Eduardo Villalobo, Guillermo Quindós, Sabela Balboa, Jesús L Romalde, Clara Aguilar-Pérez, Anna Tomás, María Linares, Óscar Zaragoza, Jéssica Gil-Serna, Raquel Ferrer-Espada, Ana I Camacho, Laura Vinué, Jorge García-Lara
No abstract text is available yet for this article.
December 2016: Journal of Microbiology & Biology Education: JMBE
https://www.readbyqxmd.com/read/28100506/twittering-on-about-mental-health-is-it-worth-the-effort
#3
Mahesh Jayaram, Lindsay Moran, Clive Adams
The medical community disseminates information increasingly using social media. Randomised controlled trials are being conducted in this area to evaluate effectiveness of social media with mixed results so far, but more trials are likely to be published in the coming years. One recent twitter randomised control trial using Cochrane Schizophrenia Group reviews suggests that tweets increase the hits to the target web page by about threefold and time spent on the web page is also increased threefold when referrals come in via twitter...
January 18, 2017: Evidence-based Mental Health
https://www.readbyqxmd.com/read/28098008/tweets-of-the-week
#4
(no author information available yet)
Nurses on Twitter.
January 18, 2017: Nursing Standard
https://www.readbyqxmd.com/read/28097527/breast-cancer-screening-and-social-media-a-content-analysis-of-evidence-use-and-guideline-opinions-on-twitter
#5
Anthony Nastasi, Tyler Bryant, Joseph K Canner, Mark Dredze, Melissa S Camp, Neeraja Nagarajan
There is ongoing debate regarding the best mammography screening practices. Twitter has become a powerful tool for disseminating medical news and fostering healthcare conversations; however, little work has been done examining these conversations in the context of how users are sharing evidence and discussing current guidelines for breast cancer screening. To characterize the Twitter conversation on mammography and assess the quality of evidence used as well as opinions regarding current screening guidelines, individual tweets using mammography-related hashtags were prospectively pulled from Twitter from 5 November 2015 to 11 December 2015...
January 17, 2017: Journal of Cancer Education: the Official Journal of the American Association for Cancer Education
https://www.readbyqxmd.com/read/28094632/tweets-of-the-week
#6
(no author information available yet)
Nurses on Twitter.
January 4, 2017: Nursing Standard
https://www.readbyqxmd.com/read/28091834/using-twitter-to-assess-the-public-response-to-the-united-states-preventive-services-task-force-guidelines-on-lung-cancer-screening-with-low-dose-chest-ct
#7
Siddharth Khasnavis, Andrew B Rosenkrantz, Vinay Prabhu
To use Twitter to assess the immediate public response to the United States Preventive Services Task Force (USPSTF) 2013 draft guidelines on lung cancer screening with low-dose chest CT (LDCT). The number of tweets including the phrases "lung cancer screening," "lung CT," "chest CT," "low dose computed tomography," "low dose CT," or "LDCT" was recorded for 6 days before and after guidelines release. A systematic sample of 172 tweets from the week following release was coded for user type, tweet opinion, linked article source, and article opinion...
January 13, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28090560/perceptions-of-secondhand-e-cigarette-aerosol-among-twitter-users
#8
Jennifer B Unger, Patricia Escobedo, Jon-Patrick Allem, Daniel W Soto, Kar-Hai Chu, Tess Cruz
OBJECTIVES: There is considerable debate among the public health community about the health risks of secondhand exposure to the aerosol from electronic cigarettes (e-cigarettes). Despite mounting scientific evidence on the chemical content of e-cigarette aerosol, public perceptions of the relative safety of secondhand e-cigarette aerosol have not been well characterized. METHOD: This study collected tweets, or messages sent using Twitter, about exposure to secondhand e-cigarette aerosol over a 6-week period in 2015...
April 2016: Tobacco Regulatory Science
https://www.readbyqxmd.com/read/28081135/rumor-detection-over-varying-time-windows
#9
Sejeong Kwon, Meeyoung Cha, Kyomin Jung
This study determines the major difference between rumors and non-rumors and explores rumor classification performance levels over varying time windows-from the first three days to nearly two months. A comprehensive set of user, structural, linguistic, and temporal features was examined and their relative strength was compared from near-complete date of Twitter. Our contribution is at providing deep insight into the cumulative spreading patterns of rumors over time as well as at tracking the precise changes in predictive powers across rumor features...
2017: PloS One
https://www.readbyqxmd.com/read/28081117/interplay-between-public-attention-and-public-emotion-toward-multiple-social-issues-on-twitter
#10
Tai-Quan Peng, Guodao Sun, Yingcai Wu
This study aims to elucidate the intricate interplay between public attention and public emotion toward multiple social issues. A theoretical framework is developed based on three perspectives including endogenous affect hypothesis, affect transfer hypothesis, and affective intelligence theory. Large-scale longitudinal data with 265 million tweets on five social issues are analyzed using a time series analytical approach. Public attention on social issues can influence public emotion on the issue per se. Social issues interact with one another to attract public attention in both cooperative and competitive ways...
2017: PloS One
https://www.readbyqxmd.com/read/28080152/ideological-consumerism-in-colombian-elections-2015-links-between-political-ideology-twitter-activity-and-electoral-results
#11
Juan C Correa, Jorge E Camargo
Propagation of political ideologies in social networks has shown a substantial impact on voting behavior. Both the contents of the messages (the ideology) and the politicians' influence on their online audiences (their followers) have been associated with such an impact. In this study we evaluate which of these factors exerted a major role in deciding electoral results of the 2015 Colombian regional elections by evaluating the linguistic similarity of political ideologies and their influence on the Twitter sphere...
January 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28078449/social-media-responses-to-heat-waves
#12
Jihoon Jung, Christopher K Uejio
Social network services (SNSs) may benefit public health by augmenting surveillance and distributing information to the public. In this study, we collected Twitter data focusing on six different heat-related themes (air conditioning, cooling center, dehydration, electrical outage, energy assistance, and heat) for 182 days from May 7 to November 3, 2014. First, exploratory linear regression associated outdoor heat exposure to the theme-specific tweet counts for five study cities (Los Angeles, New York, Chicago, Houston, and Atlanta)...
January 11, 2017: International Journal of Biometeorology
https://www.readbyqxmd.com/read/28075292/tweets-of-the-week
#13
(no author information available yet)
Nurses on Twitter.
January 11, 2017: Nursing Standard
https://www.readbyqxmd.com/read/28075288/trust-makes-twitter-plea-for-off-duty-staff-to-help-in-a-e
#14
(no author information available yet)
Emergency department pressures caused by an influx of patients to a hospital trust prompted a plea on social media and radio for off-duty nurses to work an extra shift.
January 11, 2017: Nursing Standard
https://www.readbyqxmd.com/read/28073737/using-real-time-social-media-technologies-to-monitor-levels-of-perceived-stress-and-emotional-state-in-college-students-a-web-based-questionnaire-study
#15
Sam Liu, Miaoqi Zhu, Dong Jin Yu, Alexander Rasin, Sean D Young
BACKGROUND: College can be stressful for many freshmen as they cope with a variety of stressors. Excess stress can negatively affect both psychological and physical health. Thus, there is a need to find innovative and cost-effective strategies to help identify students experiencing high levels of stress to receive appropriate treatment. Social media use has been rapidly growing, and recent studies have reported that data from these technologies can be used for public health surveillance...
January 10, 2017: JMIR Mental Health
https://www.readbyqxmd.com/read/28060854/leveraging-social-media-to-promote-evidence-based-continuing-medical-education
#16
Simone Flynn, Paul Hebert, Deborah Korenstein, Mark Ryan, William B Jordan, Salomeh Keyhani
IMPORTANCE: New dissemination methods are needed to engage physicians in evidence-based continuing medical education (CME). OBJECTIVE: To examine the effectiveness of social media in engaging physicians in non-industry-sponsored CME. DESIGN: We tested the effect of different media platforms (e-mail, Facebook, paid Facebook and Twitter), CME topics, and different "hooks" (e.g., Q&A, clinical pearl and best evidence) on driving clicks to a landing site featuring non-industry sponsored CME...
2017: PloS One
https://www.readbyqxmd.com/read/28059576/twitter-analysis-of-the-orthodontic-patient-experience-with-braces-vs-invisalign
#17
Daniel Noll, Brendan Mahon, Bhavna Shroff, Caroline Carrico, Steven J Lindauer
OBJECTIVE: To examine the orthodontic patient experience having braces compared with Invisalign by means of a large-scale Twitter sentiment analysis. MATERIALS AND METHODS: A custom data collection program was created that collected tweets containing the words "braces" or "Invisalign" for a period of 5 months. A hierarchal Naïve Bayes sentiment analysis classifier was developed to sort the tweets into five categories: positive, negative, neutral, advertisement, or not applicable...
January 6, 2017: Angle Orthodontist
https://www.readbyqxmd.com/read/28058821/october-s-twitter-chat-report
#18
(no author information available yet)
No abstract text is available yet for this article.
January 2017: Nursing in Critical Care
https://www.readbyqxmd.com/read/28051336/social-big-data-analysis-of-information-spread-and-perceived-infection-risk-during-the-2015-middle-east-respiratory-syndrome-outbreak-in-south-korea
#19
Juyoung Song, Tae Min Song, Dong-Chul Seo, Dal-Lae Jin, Jung Sun Kim
We investigated online diffusion of information, spread of fear, and perceived risk of infection to Middle East Respiratory Syndrome (MERS) as cases of MERS spread rapidly and dozens of fatalities occurred in South Korea in May-June of 2015. This study retrieved 8,671,695 MERS-related online documents from May 20 to June 18, 2015, from 171 Korean online channels and analyzed such documents by using multilevel models and data mining with Apriori algorithm association analysis. We used R software (version 3.2...
January 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28044249/evaluation-of-facebook-and-twitter-monitoring-to-detect-safety-signals-for-medical-products-an-analysis-of-recent-fda-safety-alerts
#20
Carrie E Pierce, Khaled Bouri, Carol Pamer, Scott Proestel, Harold W Rodriguez, Hoa Van Le, Clark C Freifeld, John S Brownstein, Mark Walderhaug, I Ralph Edwards, Nabarun Dasgupta
INTRODUCTION: The rapid expansion of the Internet and computing power in recent years has opened up the possibility of using social media for pharmacovigilance. While this general concept has been proposed by many, central questions remain as to whether social media can provide earlier warnings for rare and serious events than traditional signal detection from spontaneous report data. OBJECTIVE: Our objective was to examine whether specific product-adverse event pairs were reported via social media before being reported to the US FDA Adverse Event Reporting System (FAERS)...
January 2, 2017: Drug Safety: An International Journal of Medical Toxicology and Drug Experience
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