scholarly journals Telecommunications, Public Health, and Demand for Health-Related Information and Infrastructure

2005 ◽  
Vol 2 (3) ◽  
pp. 57-72 ◽  
Author(s):  
Maja Micevska
Keyword(s):  
Public Health ◽  
Related Information ◽  
Health Related ◽  
Demand For Health

scholarly journals Social Media Infodemic During COVID-19 Outbreak

2020 ◽  
Vol 15 (4) ◽  
pp. 95-97
Author(s):  
Jeevan Bhatta ◽  
Sharmistha Sharma ◽  
Shashi Kandel ◽  
Roshan Nepal
Keyword(s):  
Public Health ◽  
Social Media ◽  
Current Situation ◽  
Fake News ◽  
Related Information ◽  
Personal Experiences ◽  
Health Related ◽  
Social Media Platforms ◽  
To Receive ◽  
Common Platform

Social media is a common platform that enables its users to share opinions, personal experiences, perspectives with one another instantaneously, globally. It has played a paramount role during pandemics such as COVID-19 and unveiled itself as a crucial means to communicate between the sources and the individuals. However, it also has become a place to disseminate misinformation and fake news rapidly. Infodemic, a plethora of information, some authentic some not makes it even harder to general people to receive factual and trustworthy information when required, has grown to be a major risk to public health and social media is developing as a trendy platform for this infodemic. This commentary aims to explore how social media has affected the current situation. We also aim to share our insight to control this misinformation.  This commentary contributes to evolving knowledge to counter fake news or health-related information shared over various social media platforms.

Twitter and Its Role in Health Information Dissemination

2015 ◽  
pp. 1-17
Author(s):  
Dan Dumbrell ◽  
Robert Steele
Keyword(s):  
Public Health ◽  
Health Information ◽  
Information Dissemination ◽  
Health Condition ◽  
Sample Period ◽  
Australian Health ◽  
Related Information ◽  
Health Related ◽  
Potential Benefits ◽  
Twitter Activity

The utilization of micro-blog-based systems for the dissemination of health-related information offers a number of potential benefits. In this chapter, the authors describe a study of such micro-blog-based dissemination of health information by Australian health-related organisations through the manual categorization of over 4,700 tweets posted during a defined sample period. These tweets were analysed in relation to the sector of the tweeting organisation, health condition area, type of information in the micro-blog post, and level of retweeting. The particular category of public health-related tweets is also analysed in greater detail. This chapter differs from previous health and Twitter-related studies in that it: 1) seeks to characterize the overall and relative Twitter activity of health-related organisations for the sector across a whole nation, rather than collecting a sample matching a specific keyword or health condition; and 2) carries out a more semantically deep analysis of the content of those tweets, hence the manual analysis-based methodology adopted.

scholarly journals Using Twitter for Public Health Surveillance from Monitoring and Prediction to Public Response

Data ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 6 ◽  
Author(s):  
Sophie Jordan ◽  
Sierra Hovet ◽  
Isaac Fung ◽  
Hai Liang ◽  
King-Wa Fu ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Surveillance ◽  
Public Health Research ◽  
Global Scale ◽  
Health Surveillance ◽  
Short Text ◽  
Related Information ◽  
Twitter Data ◽  
Public Health Information ◽  
Health Related

Twitter is a social media platform where over 500 million people worldwide publish their ideas and discuss diverse topics, including their health conditions and public health events. Twitter has proved to be an important source of health-related information on the Internet, given the amount of information that is shared by both citizens and official sources. Twitter provides researchers with a real-time source of public health information on a global scale, and can be very important in public health research. Classifying Twitter data into topics or categories is helpful to better understand how users react and communicate. A literature review is presented on the use of mining Twitter data or similar short-text datasets for public health applications. Each method is analyzed for ways to use Twitter data in public health surveillance. Papers in which Twitter content was classified according to users or tweets for better surveillance of public health were selected for review. Only papers published between 2010–2017 were considered. The reviewed publications are distinguished by the methods that were used to categorize the Twitter content in different ways. While comparing studies is difficult due to the number of different methods that have been used for applying Twitter and interpreting data, this state-of-the-art review demonstrates the vast potential of utilizing Twitter for public health surveillance purposes.

scholarly journals Physiological Correlates of Processing Health-Related Information: An Idea for the Adoption of a Foreign Field

2021 ◽  
Vol 11 (1) ◽  
pp. 175-186
Author(s):  
Cornelia Geukes ◽  
Horst M. Müller
Keyword(s):  
Public Health ◽  
Public Health Research ◽  
Physiological Measures ◽  
Affective States ◽  
Related Information ◽  
Health Related Research ◽  
Health Related ◽  
Processing Modes ◽  
Research Gap ◽  
Psychophysiological Data

Measuring health may refer to the measurement of general health status through measures of physical function, pain, social health, psychological aspects, and specific disease. Almost no evidence is available on the possible interaction of physiological measures and correlating emotional–affective states that are triggered by dealing with individual health-relevant issues and their specific processing modes. Public health research has long been concerned with the processing of health-related information. However, it is not yet clear which factors influence access and the handling of health-related information in detail. One way to close this research gap could be adopting methods from neurocognitive experiments to add psychophysiological data to existing approaches in health-related research. In this article, we present some of these methods and give a narrative overview and description of their usefulness for enlarged research in public health.

Twitter and Its Role in Health Information Dissemination

2016 ◽  
pp. 372-388
Author(s):  
Dan Dumbrell ◽  
Robert Steele
Keyword(s):  
Public Health ◽  
Health Information ◽  
Information Dissemination ◽  
Health Condition ◽  
Sample Period ◽  
Australian Health ◽  
Related Information ◽  
Health Related ◽  
Potential Benefits ◽  
Twitter Activity

The utilization of micro-blog-based systems for the dissemination of health-related information offers a number of potential benefits. In this chapter, the authors describe a study of such micro-blog-based dissemination of health information by Australian health-related organisations through the manual categorization of over 4,700 tweets posted during a defined sample period. These tweets were analysed in relation to the sector of the tweeting organisation, health condition area, type of information in the micro-blog post, and level of retweeting. The particular category of public health-related tweets is also analysed in greater detail. This chapter differs from previous health and Twitter-related studies in that it: 1) seeks to characterize the overall and relative Twitter activity of health-related organisations for the sector across a whole nation, rather than collecting a sample matching a specific keyword or health condition; and 2) carries out a more semantically deep analysis of the content of those tweets, hence the manual analysis-based methodology adopted.

Using Popular Mobile Devices in Voice Therapy

2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer
Keyword(s):  
Exercise Behavior ◽  
Voice Therapy ◽  
Pure Oxygen ◽  
Mobile Platforms ◽  
Self Monitoring ◽  
Web Based ◽  
Motivational Messages ◽  
Related Information ◽  
Health Related ◽  
Tailored Approach

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.

Motivasi dan kepuasan kerja pegawai puskesmas BLUD dan non-BLUD Kabupaten Semarang

2018 ◽  
Vol 2 (3) ◽  
pp. 111
Author(s):  
Aswindar Adhi Gumilang ◽  
Tri Pitara Mahanggoro ◽  
Qurrotul Aini
Keyword(s):  
Public Health ◽  
Job Satisfaction ◽  
Financial Management ◽  
Work Motivation ◽  
P Value ◽  
The Public ◽  
The Status ◽  
The Difference ◽  
Demand For Health ◽  
Public Demand

The public demand for health service professionalism and transparent financial management made some Puskesmas in Semarang regency changed the status of public health center to BLUD. The implementation of Puskesmas BLUD and non-BLUD requires resources that it can work well in order to meet the expectations of the community. The aim of this study is to know the difference of work motivation and job satisfaction of employees in Puskesmas BLUD and non-BLUD. Method of this research is a comparative descriptive with a quantitative approach. The object of this research are work motivation and job satisfaction of employees in Puskesmas BLUD and non-BLUD Semarang regency. This Research showed that Sig value. (P-value) work motivation variable was 0.019 smaller than α value (0.05). It showed that there was a difference of work motivation of employees in Puskemas BLUD and non-BLUD. Sig value (P-value) variable of job satisfaction was 0.020 smaller than α value (0.05). It showed that there was a difference of job satisfaction of BLUD and non-BLUD. The average of non-BLUD employees motivation were 76.59 smaller than the average of BLUD employees were 78.25. The average of job satisfaction of BLUD employees were 129.20 bigger than the average of non-BLUD employee were 124.26. Job satisfaction of employees in Puskesmas BLUD was higher than non-BLUD employees.

Executive Dysfunction Mediates the Association Between Older Age and Online Health Information Search Performance

2020 ◽  
Author(s):  
Victoria Kordovski ◽  
Savanna M. Tierney ◽  
Samina Rahman ◽  
Luis D. Medina ◽  
Michelle A. Babicz ◽  
...  
Keyword(s):  
Older Adults ◽  
Executive Functions ◽  
Information Search ◽  
Search Task ◽  
Executive Dysfunction ◽  
Older Age ◽  
The Internet ◽  
Younger Adults ◽  
Related Information ◽  
Health Related

Objective: Searching the Internet for health-related information is a complex and dynamic goal-oriented process that places demands on executive functions, which are higher-order cognitive abilities that are known to deteriorate with older age. This study aimed to examine the effects of older age on electronic health (eHealth) search behavior, and to determine whether executive functions played a mediating role in that regard. Method: Fifty younger adults (≤ 35 years) and 41 older adults (≥50 years) completed naturalistic eHealth search tasks involving fact-finding (Fact Search) and symptom diagnosis (Symptom Search), a neurocognitive battery, and a series of questionnaires. Results: Multiple regression models with relevant covariates revealed that older adults were slower and less accurate than younger adults on the eHealth Fact Search task, but not on the eHealth Symptom Search task. Nevertheless, executive functions mediated the relationship between older age and eHealth Fact Search and Symptom Search accuracy. Conclusions: Older adults can experience difficulty searching the Internet for some health-related information, which is at least partly attributable to executive dysfunction. Future studies are needed to determine the benefits of training in the organizational and strategic aspects of Internet search for older adults and whether these findings are applicable to clinical populations with executive dysfunction.

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