Gunther Eysenbach
Biographic Data
| ID | 9006701 |
|---|---|
| NAME | Gunther Eysenbach |
| GIVEN NAMES | Gunther |
| FAMILY NAME | Eysenbach |
| SIGNATURE | EYSENBACH G |
| AFFILIATIONS | University Health Network |
| ORCID | 0000-0001-6479-5330 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
How to Fight an Infodemic
In this issue of the Journal of Medical Internet Research, the World Health Organization (WHO) is presenting a framework for managing the coronavirus disease (COVID-19) infodemic. Infodemiology is now acknowledged by public health organizations and the WHO as an important emerging scientific field and critical area of practice during a pandemic. From the perspective of being the first “infodemiologist” who originally coined the term almost two de…
A call for a moratorium on the .health generic top-level domain
In just a few weeks, the Internet could be expanded to include a new .health generic top-level domain name run by a for-profit company with virtually no public health credentials - unless the international community intervenes immediately. This matters to the future of global public health as the "Health Internet" has begun to emerge as the predominant source of health information for consumers and patients. Despite this increasing use and relian…
Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
BACKGROUND: Citations in peer-reviewed articles and the impact factor are generally accepted measures of scientific impact. Web 2.0 tools such as Twitter, blogs or social bookmarking tools provide the possibility to construct innovative article-level or journal-level metrics to gauge impact and influence. However, the relationship of the these new metrics to traditional metrics such as citations is not known. OBJECTIVE: (1) To explore the feasibi…
Pandemics in the Age of Twitter
BACKGROUND: Surveys are popular methods to measure public perceptions in emergencies but can be costly and time consuming. We suggest and evaluate a complementary "infoveillance" approach using Twitter during the 2009 H1N1 pandemic. Our study aimed to: 1) monitor the use of the terms "H1N1" versus "swine flu" over time; 2) conduct a content analysis of "tweets"; and 3) validate Twitter as a real-time content, sentiment, and public attention trend…
Infodemiology and Infoveillance
Infodemiology can be defined as the science of distribution and determinants of information in an electronic medium, specifically the Internet, or in a population, with the ultimate aim to inform public health and public policy. Infodemiology data can be collected and analyzed in near real time. Examples for infodemiology applications include the analysis of queries from Internet search engines to predict disease outbreaks (eg. influenza), monito…
Medicine 2.0
In a very significant development for eHealth, broad adoption of Web 2.0 technologies and approaches coincides with the more recent emergence of Personal Health Application Platforms and Personally Controlled Health Records such as Google Health, Microsoft HealthVault, and Dossia. "Medicine 2.0" applications, services and tools are defined as Web-based services for health care consumers, caregivers, patients, health professionals, and biomedical …
The Law of Attrition
In an ongoing effort of this Journal to develop and further the theories, models, and best practices around eHealth research, this paper argues for the need for a "science of attrition", that is, a need to develop models for discontinuation of eHealth applications and the related phenomenon of participants dropping out of eHealth trials. What I call "law of attrition" here is the observation that in any eHealth trial a substantial proportion of u…
Health related virtual communities and electronic support groups
Objective To compile and evaluate the evidence on the effects on health and social outcomes of computer based peer to peer communities and electronic self support groups, used by people to discuss health related issues remotely. Design and data sources Analysis of studies identified from Medline, Embase, CINAHL, PsycINFO, Evidence Based Medicine Reviews, Electronics and Communications Abstracts, Computer and Information Systems Abstracts, ERIC, L…
Improving the Quality of Web Surveys
Analogous to checklists of recommendations such as the CONSORT statement (for randomized trials), or the QUORUM statement (for systematic reviews), which are designed to ensure the quality of reports in the medical literature, a checklist of recommendations for authors is being presented by the Journal of Medical Internet Research (JMIR) in an effort to ensure complete descriptions of Web-based surveys. Papers on Web-based surveys reported accord…
Empirical Studies Assessing the Quality of Health Information for Consumers on the World Wide Web
CONTEXT: The quality of consumer health information on the World Wide Web is an important issue for medicine, but to date no systematic and comprehensive synthesis of the methods and evidence has been performed. OBJECTIVES: To establish a methodological framework on how quality on the Web is evaluated in practice, to determine the heterogeneity of the results and conclusions, and to compare the methodological rigor of these studies, to determine …
Infodemiology
How do consumers search for and appraise health information on the world wide web? Qualitative study using focus groups, usability tests, and in-depth interviews
Objectives: To describe techniques for retrieval and appraisal used by consumers when they search for health information on the internet. Design: Qualitative study using focus groups, naturalistic observation of consumers searching the world wide web in a usability laboratory, and in-depth interviews. Participants: A total of 21 users of the internet participated in three focus group sessions. 17 participants were given a series of health questio…
Using the Internet for Surveys and Health Research
This paper concerns the use of the Internet in the research process, from identifying research issues through qualitative research, through using the Web for surveys and clinical trials, to pre-publishing and publishing research results. Material published on the Internet may be a valuable resource for researchers desiring to understand people and the social and cultural contexts within which they live outside of experimental settings, with due e…
Ethical issues in qualitative research on internet communities
This article was first published in the British Medical Journal Volume 323 Issue 7321. BMJ allows authors to use their own articles for their own non commercial purposes. www.bmj.com Reproduced with permission from Dr. James E. Till
What is e-health?
Everybody talks about e-health these days, but few people have come up with clear definition of this comparatively term. Barely in use before 1999, this term now seems to serve as general buzzword, used to characterize not only medicine, but also virtually everything related to computers and medicine. The term was apparently first used by industry leaders and marketing people rather than academics. They created and used this term in line with oth…
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Ethical issues in qualitative research on internet communities
This article was first published in the British Medical Journal Volume 323 Issue 7321. BMJ allows authors to use their own articles for their own non commercial purposes. www.bmj.com Reproduced with permission from Dr. James E. Till
What is e-health?
Everybody talks about e-health these days, but few people have come up with clear definition of this comparatively term. Barely in use before 1999, this term now seems to serve as general buzzword, used to characterize not only medicine, but also virtually everything related to computers and medicine. The term was apparently first used by industry leaders and marketing people rather than academics. They created and used this term in line with oth…
Empirical Studies Assessing the Quality of Health Information for Consumers on the World Wide Web
CONTEXT: The quality of consumer health information on the World Wide Web is an important issue for medicine, but to date no systematic and comprehensive synthesis of the methods and evidence has been performed. OBJECTIVES: To establish a methodological framework on how quality on the Web is evaluated in practice, to determine the heterogeneity of the results and conclusions, and to compare the methodological rigor of these studies, to determine …
Infodemiology
How do consumers search for and appraise health information on the world wide web? Qualitative study using focus groups, usability tests, and in-depth interviews
Objectives: To describe techniques for retrieval and appraisal used by consumers when they search for health information on the internet. Design: Qualitative study using focus groups, naturalistic observation of consumers searching the world wide web in a usability laboratory, and in-depth interviews. Participants: A total of 21 users of the internet participated in three focus group sessions. 17 participants were given a series of health questio…
Using the Internet for Surveys and Health Research
This paper concerns the use of the Internet in the research process, from identifying research issues through qualitative research, through using the Web for surveys and clinical trials, to pre-publishing and publishing research results. Material published on the Internet may be a valuable resource for researchers desiring to understand people and the social and cultural contexts within which they live outside of experimental settings, with due e…
Health related virtual communities and electronic support groups
Objective To compile and evaluate the evidence on the effects on health and social outcomes of computer based peer to peer communities and electronic self support groups, used by people to discuss health related issues remotely. Design and data sources Analysis of studies identified from Medline, Embase, CINAHL, PsycINFO, Evidence Based Medicine Reviews, Electronics and Communications Abstracts, Computer and Information Systems Abstracts, ERIC, L…
Improving the Quality of Web Surveys
Analogous to checklists of recommendations such as the CONSORT statement (for randomized trials), or the QUORUM statement (for systematic reviews), which are designed to ensure the quality of reports in the medical literature, a checklist of recommendations for authors is being presented by the Journal of Medical Internet Research (JMIR) in an effort to ensure complete descriptions of Web-based surveys. Papers on Web-based surveys reported accord…
The Law of Attrition
In an ongoing effort of this Journal to develop and further the theories, models, and best practices around eHealth research, this paper argues for the need for a "science of attrition", that is, a need to develop models for discontinuation of eHealth applications and the related phenomenon of participants dropping out of eHealth trials. What I call "law of attrition" here is the observation that in any eHealth trial a substantial proportion of u…
Medicine 2.0
In a very significant development for eHealth, broad adoption of Web 2.0 technologies and approaches coincides with the more recent emergence of Personal Health Application Platforms and Personally Controlled Health Records such as Google Health, Microsoft HealthVault, and Dossia. "Medicine 2.0" applications, services and tools are defined as Web-based services for health care consumers, caregivers, patients, health professionals, and biomedical …
Infodemiology and Infoveillance
Infodemiology can be defined as the science of distribution and determinants of information in an electronic medium, specifically the Internet, or in a population, with the ultimate aim to inform public health and public policy. Infodemiology data can be collected and analyzed in near real time. Examples for infodemiology applications include the analysis of queries from Internet search engines to predict disease outbreaks (eg. influenza), monito…
Pandemics in the Age of Twitter
BACKGROUND: Surveys are popular methods to measure public perceptions in emergencies but can be costly and time consuming. We suggest and evaluate a complementary "infoveillance" approach using Twitter during the 2009 H1N1 pandemic. Our study aimed to: 1) monitor the use of the terms "H1N1" versus "swine flu" over time; 2) conduct a content analysis of "tweets"; and 3) validate Twitter as a real-time content, sentiment, and public attention trend…
Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
BACKGROUND: Citations in peer-reviewed articles and the impact factor are generally accepted measures of scientific impact. Web 2.0 tools such as Twitter, blogs or social bookmarking tools provide the possibility to construct innovative article-level or journal-level metrics to gauge impact and influence. However, the relationship of the these new metrics to traditional metrics such as citations is not known. OBJECTIVE: (1) To explore the feasibi…
A call for a moratorium on the .health generic top-level domain
In just a few weeks, the Internet could be expanded to include a new .health generic top-level domain name run by a for-profit company with virtually no public health credentials - unless the international community intervenes immediately. This matters to the future of global public health as the "Health Internet" has begun to emerge as the predominant source of health information for consumers and patients. Despite this increasing use and relian…
How to Fight an Infodemic
In this issue of the Journal of Medical Internet Research, the World Health Organization (WHO) is presenting a framework for managing the coronavirus disease (COVID-19) infodemic. Infodemiology is now acknowledged by public health organizations and the WHO as an important emerging scientific field and critical area of practice during a pandemic. From the perspective of being the first “infodemiologist” who originally coined the term almost two de…
Computer Science (13 works) · World Wide Web (12 works) · The Internet (11 works) · Medicine (10 works) · Political science (9 works) · Health Literacy and Information Accessibility (8 works) · Internet privacy (7 works) · Health care (5 works) · Psychology (5 works) · Business (4 works)