Displaying publications 1 - 20 of 151 in total

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  1. Fulltext Effective Communication at Different Phases of COVID-19 Prevention: Roles, Enablers and Barriers
    Mohd Hanafiah K, Ng C, Wan AM
    Viruses, 2021 Jun 03;13(6).
    PMID: 34204909 DOI: 10.3390/v13061058
    In an age of globalisation and hyperconnectivity, the COVID-19 pandemic has caused unprecedented and sustained impact worldwide. This article discusses issues related to (science) communication at different phases of the COVID-19 epidemic timeline. We consider the role of communication for prevention from the ecological perspective, taking into consideration that many emerging pathogens, including COVID-19, likely arise in part due to anthropogenic changes to natural environments. Communication forms part of the early response setting the scene for public buy-in of public health interventions at the start of an outbreak, as well as to maintain precautions over time. Finally, communication is a key element in increasing acceptance for new tools that require mass uptake to be effective, as seen with roll-out challenges for the COVID-19 vaccines, which faced heightened concerns of efficacy and safety while mired with rampant misinformation. Ultimately, strategies for prevention of viral epidemics such as COVID-19 must include communication strategies at the forefront to reduce the risk of the emergence of new diseases and enhance efforts to control their spread and burden. Despite key themes emerging, what constitutes effective communication strategies for different people and contexts needs to be investigated further.
    Matched MeSH terms: Social Media
  2. Fulltext SENTIMENT ANALYSIS OF PEOPLE’S ACCEPTANCE TOWARDS THE NEW MALAYSIAN GOVERNMENT USING NAÏVE BAYES METHOD
    R.U GOBITHAASAN, NUR FARHANA SYAHIRA CHE HAMID
    UMT Journal of Undergraduate Research, 2020;2(3):93-102.
    MyJurnal
    Sentiment analysis is a field of research that has a significant impact on today’s nations, politics and businesses. It is an algorithmic process to comprehend the opinions of a given subject based on the Natural Language Processing (NLP) methodologies. It has received much attention in recent years and is proven vital in various fields, e.g., online product reviews and social media analysis (Twitter, Facebook, etc.). This paper reports the outcome of sentiment analysis to investigate people’s acceptance of Pakatan Harapan, as the new Malaysian government, spearheaded by Tun Dr. Mahathir Mohamad and Dr. Wan Azizah, with an influence of Dato Seri Anwar Ibrahim. The objective is to classify tweets into three types of sentiments; positive, neutral and negative using Naïve Bayes method which is readily available in Python. The first step is tweets extraction for a month (March to April 2019) using search queries: {Pakatan Harapan, Mahathir, Anwar Ibrahim, Wan Azizah}. It is followed by tweets wrangling using NLP library and lastly output visualization in the form of a word cloud. A word cloud is a visual representation of text data with various font sizes depending on its probabilities. Final results showed that the tweets related to new government consist of neutral sentiment (41%) followed by positive sentiment (30%) and negative sentiment (29%). Malaysians do prefer the new government. However careful mitigation steps must be crafted to overcome controversial issues such as the ‘Rome Statute’ to avoid negative digital footprint, hence winning the Malaysians’ heart.
    Matched MeSH terms: Social Media
  3. Going viral: embracing the changing culture of social media in travel medicine
    Flaherty GT, Walden LM
    Travel Med Infect Dis, 2015 Mar-Apr;13(2):120-1.
    PMID: 25812774 DOI: 10.1016/j.tmaid.2015.03.005
    Matched MeSH terms: Social Media*
  4. Fulltext An online survey of Malaysian long-term e-cigarette user perceptions
    Abdulrahman SA, Ganasegeran K, Loon CW, Rashid A
    Tob Induc Dis, 2020;18:26.
    PMID: 32292316 DOI: 10.18332/tid/118720
    INTRODUCTION: The use of e-cigarettes (EC) has reached alarming proportions among Malaysians. On a national level, little is known about the profile and perceptions of Malaysian EC users. This study aimed to explore the prevalence of long-term EC usage and its associated factors among EC users in Malaysia.

    METHODS: This nationwide online questionnaire survey was administered among 694 EC users across 13 states and 1 Federal Territory in Malaysia, between January and April 2018. A survey link was e-mailed to EC users that were recruited from an official national vape entity through their Facebook association page. We obtained information on respondents' sociodemographic characteristics, smoking habits, long-term e-cigarette usage and perceptions of EC use. We estimated long-term EC user prevalence and fitted multivariate regression models to predict factors associated with long-term EC usage. Statistical significance was set at p<0.05.

    RESULTS: Respondents were predominantly Malays (87.6%), aged >30 years (68.1%) and tertiary educated (71%). The majority were employed (93.1%) with a monthly household income of MYR 4000 or less (56.6%). About 84% were former smokers, while 10% were current smokers. The prevalence of long-term EC usage in this study was 82.3%. Most users believed that EC had helped them to cut down tobacco smoking (94.8%), reduced the urge to smoke (88.3%) and ultimately helped them to quit smoking (87.2%). Respondents aged >30 years and those who perceived that EC has helped them stop smoking were significantly more likely to be long-term EC users.

    CONCLUSIONS: Most respondents engaged in EC use to quit smoking. They were more likely to be long-term EC users if they were older and perceived that EC has helped them to quit smoking. This information is valuable for targeted prevention, health promotion and policy regulations.
    Matched MeSH terms: Social Media
  5. Fulltext Adverse health effects and unhealthy behaviors among medical students using Facebook
    Al-Dubai SA, Ganasegeran K, Al-Shagga MA, Yadav H, Arokiasamy JT
    ScientificWorldJournal, 2013;2013:465161.
    PMID: 24453859 DOI: 10.1155/2013/465161
    Little is known about the relationships between adverse health effects and unhealthy behaviors among medical students using Facebook. The aim of this study was to determine the associations between adverse health effects and unhealthy behaviors with Facebook use. A cross-sectional study was conducted in a private university in Malaysia among 316 medical students. A self-administered questionnaire was used. It included questions on sociodemographics, pattern of Facebook use, social relationship, unhealthy behaviors, and health effects. Mean age was 20.5 (±2.7) years. All students had a Facebook account. The average daily Facebook surfing hours were 2.5 (±1.7). Significant associations were found between average hours of Facebook surfing and the following factors: isolation from family members and community, refusing to answer calls, musculoskeletal pain, headache, and eye irritation (P < 0.005). The average hours spent on Facebook were significantly associated with holding urination and defecation while online, surfing Facebook until midnight, and postponing, forgetting, or skipping meals (P < 0.005). The average hours spent on Facebook were associated with adverse health effects and unhealthy behaviors among medical students, as well as social isolation from the family and community.
    Matched MeSH terms: Social Media
  6. Fulltext Using facebook for medical education: will students respond?
    Sood S
    Med J Malaysia, 2015 Feb;70(1):59-61.
    PMID: 26032536 MyJurnal
    There is little information about the willingness of medical students to participate in Facebook for education. I analyzed my interactions with students for the past 14 months to estimate the quantity of student interaction. A Facebook Group was created. Students friend requests were accepted, but "friending" was never solicited. Questions were created around a clinical situation and posted. Forty questions were posted. 5/40 questions were about physics/chemistry. 24 questions focused on basic medical sciences. 11 questions were primarily about clinical medicine. In fourteen months, 533/810 (66%) college students joined the Group. In all, 163/533 students (30%) responded at least once. Half of all responses were comments; the rest were clicks on the "like" button. The average number of responses was 9.5 unique students/question. If participation is voluntary, and targeted students are large in number, one can expect about 66% of students to become members of a site, and about 30% of these to interact. For any given question posted on the site, about 2% of members will respond, regardless of the nature of question: clinically oriented or basic.
    Matched MeSH terms: Social Media
  7. Acceptance towards social network information system for earlier detection of Influenza outbreak
    Sulaiman MH, Aizuddin AN, Hod R, Puteh SEW
    Med J Malaysia, 2021 03;76(2):145-150.
    PMID: 33742620
    INTRODUCTION: Influenza outbreak causes high economic burden to Malaysia and other countries in South East Asia. Scientists have found a relatively new way to detect influenza outbreaks early thus reducing the burden of disease by early intervention. This new technology is a social network information system which uses Facebook or Twitter data to detect potential influenza cases. Such system is good to be developed by the Malaysian government as it can detect influenza outbreaks three weeks earlier than the normal pathway. However, to implement this we require good evidence that the development will be accepted by potential users.

    OBJECTIVE: This study was looking at the acceptance towards using social network information system among public health workers.

    MATERIALS AND METHOD: This study was done on 205 Malaysian One Health University Network (MyOHUN) members through email and physical survey.

    RESULTS: Results show that 62.4% public health workers accepted the use technology. The acceptance was shown to be associated with performance expectancy (p<0.05). However, unlike the very famous Unified Theory of Acceptance and Use of Technology (UTAUT) model, the acceptance of social network information system was not associated with effort expectancy, social factors, facilitating conditions and socio-demographic factors. Therefore, it is suggested that social network information system be developed by the authorities in Malaysia, and be developed in a way that the system could strongly increase performance in detection of outbreak earlier than the current normal pathways. As such the system to be accepted and used, it must be sensitive, specific and be able to detect influenza outbreak early CONCLUSION: The development of social network information system is feasible as it is highly accepted and it's potential to improve early detection of influenza outbreak.

    Matched MeSH terms: Social Media
  8. Perspectives on double-blind peer review from collectivist cultural contexts
    Lapeña JFF, Munk PL, Saw A, Peh WC
    Med J Aust, 2019 05;210(8):347-348.e1.
    PMID: 30945753 DOI: 10.5694/mja2.50131
    Matched MeSH terms: Social Media
  9. Fulltext The relationship between media use and body mass index among secondary students in Kuching South City, Sarawak, Malaysia
    Cheah WL, Chang CT, Rosalia S, Charles LD, Yii SL, Tiong PH, et al.
    Malays J Med Sci, 2011 Jul;18(3):33-42.
    PMID: 22135599 MyJurnal
    BACKGROUND: Overweight and obesity rates among adolescents have increased substantially over the years. This study aimed to determine the body mass index (BMI) of students and parents and the relationship among media use, BMI, socio-demographic profiles, and snacking behaviour during television watching of secondary school students in Kuching South City.
    METHODS: In accordance with the two-stage sampling method, a total of 316 adolescents aged 13-17 years from 7 secondary schools participated. Data were collected using questionnaire and anthropometric measurement. Independent t test, one-way ANOVA, Mann-Whitney U test, and chi-square test were performed.
    RESULTS: The mean BMI was 20.56 kg/m(2) (SD 4.33) for boys and 20.15 kg/m(2) (SD 3.91) for girls. No significant difference in terms of z score for BMI-for-age or socio-demographic factors was found. The mean duration of time devoted to media use was 4.69 hours (SD 2.93) on weekdays and 5.69 hours (SD 2.87) on weekends. Boys were found to spend more hours on media use than did the girls (t = 4.293, P < 0.01). Respondents were reported to consume more cereal compared with soft drinks and junk foods. Respondents whose fathers worked in the private sector devoted the fewest hours to media use, whereas those with self-employed fathers devoted the most time to media use. Respondents with mothers who were employed spent more time on media use than did respondents whose mothers were housewives (F = 4.067, P < 0.01). No significant difference was found between BMI and media time or snacking habits.
    CONCLUSION: This finding indicated that media time has no effect on body weight, because respondents were found to have normal weight and to consume less unhealthy food.
    KEYWORDS: adolescent; behaviour; body mass index; public health; urban population
    Matched MeSH terms: Social Media
  10. Private Self-Consciousness and Self-Monitoring on Instagram: The Mediating Effect of Internal Locus of Control and Self-Concept
    Ahadzadeh AS, Ong FS, Wu SL, Deng R
    J Psychol, 2021;155(3):334-355.
    PMID: 33705270 DOI: 10.1080/00223980.2021.1884035
    Past studies examining the direct relationship between private self-consciousness and online self-presentation behavior have not met with much success. The aim of this study was to examine the direct relationship between private self-consciousness and self-monitoring as well as the indirect relationship between these two variables through the mediation of locus of control and self-concept among Instagram users. Besides investigating locus of control and self-concept independently, serial mediation of locus of control and self-concept in the relationship between private self-consciousness and self-monitoring was also examined. A sample of 309 university students was conveniently drawn from three private universities in Kuala Lumpur, Malaysia. Participants completed a survey that collected data on private self-consciousness, internal locus of control, self-concept, self-monitoring on Instagram and relevant demographic data. Results of this study showed that there is no direct relationship between private self-consciousness and self-monitoring on Instagram. Independently, locus of control was found to mediate the relationship between private self-consciousness and self-monitoring while self-concept did not. The serial-multiple mediation test supported the mediating role of locus of control and self-concept on this relationship. These indirect relationships contribute to our understanding of the underlying mechanism through which private self-consciousness influences self-monitoring on Instagram.
    Matched MeSH terms: Social Media*
  11. The power of YouTube videos for surgical journals
    AlHasan AJMS
    Surgery, 2023 Sep;174(3):744-746.
    PMID: 37419760 DOI: 10.1016/j.surg.2023.05.042
    Surgical journals use videos for educational and promotional purposes. YouTube is a suitable social media platform for sharing videos of journal content. The Surgery journal experience on YouTube can be used to learn important information on the nature of video content, the measurement of performance, and the benefits and challenges of using YouTube to disseminate journal content. Video content can be created to deliver information and infotainment. The online performance of videos can be measured using various metrics on YouTube Analytics, including content views and engagement metrics. There are several benefits to the use of YouTube videos by surgical journals, including the dissemination of reliable information, language versatility and diversity, open access and portability, increased visibility for authors and journals, and the humanization of the journal interface. However, challenges also need to be overcome, including viewer discretion where graphic content is concerned, copyright protection, limitations of Internet connection bandwidth, algorithmic barriers imposed by YouTube itself, and violations of biomedical ethics.
    Matched MeSH terms: Social Media*
  12. Willingness to use HIV self-testing with online supervision among app-using YMSM in Bangkok
    Samoh N, Peerawaranun P, Jonas KJ, Lim SH, Wickersham JA, Guadamuz TE
    Sex Transm Dis, 2020 Aug 24.
    PMID: 32842048 DOI: 10.1097/OLQ.0000000000001271
    An online assessment among -social media-using YMSM found that 87% were willing to use HIV self-testing with online supervision (HIVSTOS). Correlates included never tested, having higher numbers of sexual partners and seeking partners online. HIVSTOS may be appropriate for YMSM who have high risks and may not access venue-based settings.
    Matched MeSH terms: Social Media
  13. Fulltext Fake News Detection Model on Social Media by Leveraging Sentiment Analysis of News Content and Emotion Analysis of Users' Comments
    Hamed SK, Ab Aziz MJ, Yaakub MR
    Sensors (Basel), 2023 Feb 04;23(4).
    PMID: 36850346 DOI: 10.3390/s23041748
    Nowadays, social media has become the main source of news around the world. The spread of fake news on social networks has become a serious global issue, damaging many aspects, such as political, economic, and social aspects, and negatively affecting the lives of citizens. Fake news often carries negative sentiments, and the public's response to it carries the emotions of surprise, fear, and disgust. In this article, we extracted features based on sentiment analysis of news articles and emotion analysis of users' comments regarding this news. These features were fed, along with the content feature of the news, to the proposed bidirectional long short-term memory model to detect fake news. We used the standard Fakeddit dataset that contains news titles and comments posted regarding them to train and test the proposed model. The suggested model, using extracted features, provided a high detection accuracy of 96.77% of the Area under the ROC Curve measure, which is higher than what other state-of-the-art studies offer. The results prove that the features extracted based on sentiment analysis of news, which represents the publisher's stance, and emotion analysis of comments, which represent the crowd's stance, contribute to raising the efficiency of the detection model.
    Matched MeSH terms: Social Media*
  14. Analysis of public opinion on employment issues using a combined approach: a case study in China
    Chen CF, He HY, Tong YX, Chen XL
    Sci Rep, 2024 Jan 23;14(1):1944.
    PMID: 38253608 DOI: 10.1038/s41598-024-52158-5
    To analyze the public opinion related to the employment situation, a combined approach is proposed to study the valuable ideas from social media. Firstly, the popularity of public opinion was analyzed according to the time series from a statistical point of view. Secondly, the feature extraction was carried out on the public opinion information, and the thematic analysis of the employment environment was carried out based on the Latent Dirichlet Allocation model. Thirdly, the Bert model was used to analyze the sentiment classification and trend of the employment-related public opinion data. Finally, the employment public opinion texts in different regions were studied based on the spatial sequence popularity analysis, keyword difference analysis. A case study in China is conducted to verify the effectiveness of proposed combined approach. Results shown that the popularity of employment public opinion reached the highest level in March 2022. Public opinions towards employment situation are negative. There is a specific relationship between the popularity of employment public opinion in different provinces.
    Matched MeSH terms: Social Media*
  15. Fulltext Self-planning traveller system
    Khor, Chun Siang, Nasuha Lee Abdullah, Rosnah Idrus, Nura Muhammad Baba
    Scientific Research Journal, 2017;14(2):73-87.
    MyJurnal
    This study aimed to understand the problems faced by self-planning
    travellers when they plan for a trip by searching travel information from
    the Internet and propose a system to facilitate the self-planning travellers
    to obtain useful travel information. An online survey was conducted via
    social media to understand the problems, the search criteria and types of
    content of travel itinerary needed in facilitating the planning. A total of
    65 responses were collected. The results showed that there were too many
    unrelated information on the Web and travellers were unsure of where to
    start the search. Also, the result revealed that the search criteria needed to
    generate travel itinerary were travel date, travel duration, travel country
    and travel budget. Finally, flight schedule, hotel accommodation, sightseeing
    places, travelling route and things to do were the information required by
    travellers for their travel itineraries. Based on the results, a travel itinerary
    recommendation system named eTravelPlanner is proposed.
    Matched MeSH terms: Social Media
  16. Balancing for an Effective Communication in Organizations
    Touhidul IASM, Sorooshian S
    Sci Eng Ethics, 2019 10;25(5):1605-1607.
    PMID: 29717466 DOI: 10.1007/s11948-018-0055-z
    Communication is an essential part of all activities of organizations. However, it is affected by technology. Today, email and social media are popular methods of communication in organizations. Each of the listed methods has advantages and disadvantages which will be discussed in this letter which tries to drive the attention of organizations to the need for a standard and balanced approach toward communication.
    Matched MeSH terms: Social Media/organization & administration*
  17. Fulltext Medical professionalism videos on YouTube: Content exploration and appraisal of user engagement
    Ahmad T, Sattar K, Akram A
    Saudi J Biol Sci, 2020 Sep;27(9):2287-2292.
    PMID: 32884409 DOI: 10.1016/j.sjbs.2020.06.007
    Background: Social media has become the fastest growing platform for sharing and retrieving information and knowledge, and YouTube is one of the most popular and growing sources of health and educational information video-sharing website. But, videos on this open platform are not peer-assessed, therefore, the accessible data should be adequately assessed. Till date, no exploration and analysis for assessing the credibility and usefulness of Medical professionalism videos available on YouTube are conducted.

    Objective: To analyze the video sources, contents and quality of YouTube videos about the topic of medical professionalism.

    Methods: A systematic search was accomplished on YouTube videos during the period between March 1, 2020 and March 27, 2020. The phrases as significant words used throughout YouTube web search were 'Professionalism in Medical Education', Professionalism in medicine', 'Professionalism of medical students', 'Professionalism in healthcare'. 'Teaching professionalism', 'Attributes of professionalism'. The basic information collected for each video included author's/publisher's name, total number of watchers, likes, dislikes and positive and undesirable remarks. The videos were categorized into educationally useful and useless established on the content, correctness of the knowledge and the advices. Different variables were measured and correlated for the data analysis.YouTube website was searched the using keywords 'Professionalism in Medical Education', Professionalism in medicine', 'Professionalism of medical students', 'Professionalism in healthcare'. 'Teaching professionalism', and 'Attributes of professionalism'.

    Results: After 2 rounds of screening by the subject experts and critical analysis of all the 137 YouTube videos, only 41 (29.92%) were identified as pertinent to the subject matter, i.e., educational type. After on expert viewing these 41 videos established upon our pre-set inclusion/exclusion criteria, only 17 (41.46%) videos were found to be academically valuable in nature.

    Conclusion: Medical professionalism multimedia videos uploaded by the healthcare specialists or organizations on YouTube provided reliable information for medical students, healthcare workers and other professional. We conclude that YouTube is a leading and free online source of videos meant for students or other healthcare workers yet the viewers need to be aware of the source prior to using it for training learning.

    Matched MeSH terms: Social Media
  18. Sparking attention on African swine fever research on social media platform: An altmetric evaluation of top 100 highly cited articles
    Basumatary B, Yunus MN, Verma MK
    Res Vet Sci, 2023 May;158:26-33.
    PMID: 36898955 DOI: 10.1016/j.rvsc.2023.02.010
    African swine fever (ASF) is one of the highly contagious diseases of pigs that affect both domestic and wild pigs. The primary purpose of this research was to evaluate the online social attention on the ASF research to inform the research scientists and key stakeholders in the field by reporting the concise information of the most influential articles, social engagement, and impacts of the research. This study employed the altmetrics tool to evaluate the research papers. Bibliographic data of 100 articles were collected from Scopus; altmetric data was collected from the Altmetric.com database and analyzed using SPSS and Tableau. The articles were mainly mentioned on Twitter, followed by News Outlets and significant readers on Mendeley. Pearson correlation coefficients revealed a weak and insignificant correlation between Scopus Citation and Altmetric Attention Score (AAS). Mendeley Readership and Scopus Citation were moderately correlated. However, there was a significant positive correlation between the AAS and Mendeley readership. Using altmetric tools, the paper is the first research to shed light on the characteristics of ASF on social media.
    Matched MeSH terms: Social Media*
  19. Shisha (waterpipe) smoking initiation among youth in Malaysia and global perspective: a scoping review (2006-2015)
    Singh SK, Enzhong L, Reidpath DD, Allotey P
    Public Health, 2017 Mar;144:78-85.
    PMID: 28274388 DOI: 10.1016/j.puhe.2016.11.022
    OBJECTIVE: To explore the initiating factors of waterpipe tobacco smoking (WTS) among youth.

    STUDY DESIGN: The analytic framework for this scoping review was performed using the methodology outlined by Arksey and O'Malley, which includes identification of the research question, study selection, charting the data, collating, summarizing and reporting the results that were primarily guided by the research question; 'what is known about the initiation of shisha smoking among youth?'

    METHODS: Electronic databases such as Cochrane, MEDLINE and PsycINFO were used to search for relevant articles. Articles included were all in English and published within the year of 2006 to 2015. Inclusion criteria; i) age range of 10 to 29 years; ii) examined the reasons why youth started or tried WTS; iii) in full text. Therefore, 26 articles were included in this scoping review.

    RESULTS: This review has identified and classified the initiating factors of WTS among youth in four subtopics: individual factors, interpersonal influences, cigarettes and alcohol use, and media influences. Individual factors and interpersonal influences played an important role in initiation factors of WTS among youth.

    CONCLUSION: This study concludes that public health professionals within the Southeast Asia region need to promote innovative preventive measures through peer-to-peer led interventions that are also easily assessable on social media platforms. The public health messages need to address the misconceptions of risk associated to WTS use.
    Matched MeSH terms: Social Media
  20. Fulltext Windows Instant Messaging App Forensics: Facebook and Skype as Case Studies
    Yang TY, Dehghantanha A, Choo KK, Muda Z
    PLoS One, 2016;11(3):e0150300.
    PMID: 26982207 DOI: 10.1371/journal.pone.0150300
    Instant messaging (IM) has changed the way people communicate with each other. However, the interactive and instant nature of these applications (apps) made them an attractive choice for malicious cyber activities such as phishing. The forensic examination of IM apps for modern Windows 8.1 (or later) has been largely unexplored, as the platform is relatively new. In this paper, we seek to determine the data remnants from the use of two popular Windows Store application software for instant messaging, namely Facebook and Skype on a Windows 8.1 client machine. This research contributes to an in-depth understanding of the types of terrestrial artefacts that are likely to remain after the use of instant messaging services and application software on a contemporary Windows operating system. Potential artefacts detected during the research include data relating to the installation or uninstallation of the instant messaging application software, log-in and log-off information, contact lists, conversations, and transferred files.
    Matched MeSH terms: Social Media*
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