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Book ; Online: Managing Infodemics in the 21st Century

Purnat, Tina D / Nguyen, Tim / Briand, Sylvie

Addressing New Public Health Challenges in the Information Ecosystem

2023

Keywords	Public health & preventive medicine ; Media studies ; Sociology ; Infodemic management ; Infodemiology ; Health emergency response ; Health Misinformation ; Health Disinformation ; Information gap ; Risk communication in health and science ; Health communiation strategies ; Science communication strategies ; Dissemination science ; Health literacy ; Media literacy ; Digital information ; Media manipulation ; Social media platforms and regulation ; Message tailoring ; Social and behavior change campaigns ; Acute public health events ; COVID-19
Language	English
Size	1 electronic resource (144 pages)
Publisher	Springer Nature
Publishing place	Cham
Document type	Book ; Online
Note	English
HBZ-ID	HT030377974
ISBN	9783031277887 ; 3031277880
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online: Managing Infodemics in the 21st Century

Purnat, Tina D / Nguyen, Tim / Briand, Sylvie

Addressing New Public Health Challenges in the Information Ecosystem

2023

Author's details	edited by Tina D. Purnat, Tim Nguyen, Sylvie Briand
Keywords	Public health ; Communication in medicine ; Science in popular culture ; Communication in science ; Medicine, Preventive ; Health promotion ; Social media
Language	English
Size	1 Online-Ressource (XVIII, 144 p. 15 illus., 11 illus. in color)
Edition	1st ed. 2023
Publisher	Springer International Publishing ; Imprint: Springer
Publishing place	Cham
Document type	Book ; Online
HBZ-ID	HT030033266
ISBN	978-3-031-27789-4 ; 9783031277887 ; 9783031277900 ; 9783031277917 ; 3-031-27789-9 ; 3031277880 ; 3031277902 ; 3031277910
DOI	10.1007/978-3-031-27789-4
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Chatbots and COVID-19: Taking Stock of the Lessons Learned.

Arnold, Virginia / Purnat, Tina D / Marten, Robert / Pattison, Andrew / Gouda, Hebe

Journal of medical Internet research

2024 Volume 26, Page(s) e54840

Abstract: While digital innovation in health was already rapidly evolving, the COVID-19 pandemic has accelerated the generation of digital technology tools, such as chatbots, to help increase access to crucial health information and services to those who were cut ... ...

Abstract	While digital innovation in health was already rapidly evolving, the COVID-19 pandemic has accelerated the generation of digital technology tools, such as chatbots, to help increase access to crucial health information and services to those who were cut off or had limited contact with health services. This theme issue titled "Chatbots and COVID-19" presents articles from researchers and practitioners across the globe, describing the development, implementation, and evaluation of chatbots designed to address a wide range of health concerns and services. In this editorial, we present some of the key challenges and lessons learned arising from the content of this theme issue. Most notably, we note that a stronger evidence base is needed to ensure that chatbots and other digital tools are developed to best serve the needs of population health.
MeSH term(s)	Humans ; COVID-19 ; Pandemics/prevention & control ; Digital Technology ; Population Health
Language	English
Publishing date	2024-03-21
Publishing country	Canada
Document type	Editorial
ZDB-ID	2028830-X
ISSN	1438-8871 ; 1438-8871
ISSN (online)	1438-8871
ISSN	1438-8871
DOI	10.2196/54840
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Management of infodemics in outbreaks or health crises: a systematic review.

Abuhaloob, Lamis / Purnat, Tina D / Tabche, Celine / Atwan, Zeenah / Dubois, Elizabeth / Rawaf, Salman

Frontiers in public health

2024 Volume 12, Page(s) 1343902

Abstract: Introduction: The World Health Organization (WHO) defined an infodemic as an overabundance of information, accurate or not, in the digital and physical space, accompanying an acute health event such as an outbreak or epidemic. It can impact people's ... ...

Abstract	Introduction: The World Health Organization (WHO) defined an infodemic as an overabundance of information, accurate or not, in the digital and physical space, accompanying an acute health event such as an outbreak or epidemic. It can impact people's risk perceptions, trust, and confidence in the health system, and health workers. As an immediate response, the WHO developed the infodemic management (IM) frameworks, research agenda, intervention frameworks, competencies, and processes for reference by health authorities. Objective: This systematic review explored the response to and during acute health events by health authorities and other organizations operating in health. It also assessed the effectiveness of the current interventions. Methods: On 26 June 2023, an online database search included Medline (Ovid), Embase, Cochrane Library, Scopus, Epistemonikos, and the WHO website. It included English-only, peer-reviewed studies or reports covering IM processes applied by health organizations that reported their effectiveness. There was no restriction on publication dates. Two independent reviewers conducted all screening, inclusion, and quality assessments, and a third reviewer arbitrated any disagreement between the two reviewers. Results: Reviewers identified 945 records. After a final assessment, 29 studies were included in the review and were published between 2021 and 2023. Some countries (Pakistan, Yemen, Spain, Italy, Hong Kong, Japan, South Korea, Singapore, United Kingdom, United States, New Zealand, Finland, South Korea, and Russia) applied different methods of IM to people's behaviors. These included but were not limited to launching media and TV conservations, using web and scientific database searches, posting science-based COVID-19 information, implementing online surveys, and creating an innovative ecosystem of digital tools, and an Early AI-supported response with Social Listening (EARS) platform. Most of the interventions were effective in containing the harmful effects of COVID-19 infodemic. However, the quality of the evidence was not robust. Discussion: Most of the infodemic interventions applied during COVID-19 fall within the recommended actions of the WHO IM ecosystem. As a result, the study suggests that more research is needed into the challenges facing health systems in different operational environments and country contexts in relation to designing, implementing, and evaluating IM interventions, strategies, policies, and systems.
MeSH term(s)	Humans ; COVID-19/epidemiology ; Disease Outbreaks/prevention & control ; Epidemics ; Infodemic
Language	English
Publishing date	2024-03-15
Publishing country	Switzerland
Document type	Journal Article ; Systematic Review
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2024.1343902
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: An Adaptive Digital Intelligence System to Support Infodemic Management: The WHO EARS Platform.

White, Becky / Cabalero, Ivan / Nguyen, Tim / Briand, Sylvie / Pastorino, Agnese / Purnat, Tina D

Studies in health technology and informatics

2023 Volume 302, Page(s) 891–892

Abstract: The WHO Early AI-Supported Response with Social Listening (EARS) platform was developed to help inform infodemic response during the COVID-19 pandemic. There was continual monitoring and evaluation of the platform and feedback from end-users was sought ... ...

Abstract	The WHO Early AI-Supported Response with Social Listening (EARS) platform was developed to help inform infodemic response during the COVID-19 pandemic. There was continual monitoring and evaluation of the platform and feedback from end-users was sought on a continual basis. Iterations were made to the platform in response to user needs, including the introduction of new languages and countries, and additional features to better enable more fine-grained and rapid analysis and reporting. The platform demonstrates how a scalable, adaptable system can be iterated upon to continue to support those working in emergency preparedness and response.
MeSH term(s)	Humans ; COVID-19/epidemiology ; SARS-CoV-2 ; Pandemics ; Infodemic ; Social Media ; World Health Organization
Language	English
Publishing date	2023-05-18
Publishing country	Netherlands
Document type	Journal Article
ISSN	1879-8365
ISSN (online)	1879-8365
DOI	10.3233/SHTI230296
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Measuring the burden of infodemics with a research toolkit for connecting information exposure, trust, and health behaviours.

Dunn, Adam G / Purnat, Tina D / Ishizumi, Atsuyoshi / Nguyen, Tim / Briand, Sylvie

Archives of public health = Archives belges de sante publique

2023 Volume 81, Issue 1, Page(s) 102

Abstract: Background: During a public health emergency, accurate and useful information can be drowned out by questions, concerns, information voids, conflicting information, and misinformation. Very few studies connect information exposure and trust to health ... ...

Abstract	Background: During a public health emergency, accurate and useful information can be drowned out by questions, concerns, information voids, conflicting information, and misinformation. Very few studies connect information exposure and trust to health behaviours, which limits available evidence to inform when and where to act to mitigate the burden of infodemics, especially in low resource settings. This research describes the features of a toolkit that can support studies linking information exposure to health behaviours at the individual level. Methods: To meet the needs of the research community, we determined the functional and non-functional requirements of a research toolkit that can be used in studies measuring topic-specific information exposure and health behaviours. Most data-driven infodemiology research is designed to characterise content rather than measure associations between information exposure and health behaviours. Studies also tend to be limited to specific social media platforms, are unable to capture the breadth of individual information exposure that occur online and offline, and cannot measure differences in trust by information source or content. Studies are also designed very differently, limiting synthesis of results. Results: We demonstrate a way to address these requirements via a web-based study platform that includes an app that participants use to record topic-specific information exposure, a browser plugin for tracking access to relevant webpages, questionnaires that can be delivered at any time during a study, and app-based incentives for participation such as visual analytics to compare trust levels with other participants. Other features of the platform include the ability to tailor studies to local contexts, ease of use for participants, and frictionless sharing of de-identified data for aggregating individual participant data in international meta-analyses. Conclusions: Our proposed solution will be able to capture detailed data about information exposure and health behaviour data, standardise study design while simultaneously supporting localisation, and make it easy to synthesise individual participant data across studies. Future research will need to evaluate the toolkit in realistic scenarios to understand the usability of the toolkit for both participants and investigators.
Language	English
Publishing date	2023-06-05
Publishing country	England
Document type	Journal Article
ZDB-ID	1117688-x
ISSN	2049-3258 ; 0778-7367 ; 0003-9578
ISSN (online)	2049-3258
ISSN	0778-7367 ; 0003-9578
DOI	10.1186/s13690-023-01101-7
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: EARS - A WHO Platform for AI-Supported Real-Time Online Social Listening of COVID-19 Conversations.

Purnat, Tina D / Wilson, Harry / Nguyen, Tim / Briand, Sylvie

Studies in health technology and informatics

2021 Volume 281, Page(s) 1009–1010

Abstract: As the COVID-19 pandemic evolves, the accompanying infodemic is being amplified through social media and has challenged effective response. The WHO Early AI-supported Response with Social Listening (EARS) is a platform that summarizes real-time ... ...

Abstract	As the COVID-19 pandemic evolves, the accompanying infodemic is being amplified through social media and has challenged effective response. The WHO Early AI-supported Response with Social Listening (EARS) is a platform that summarizes real-time information about how people are talking about COVID-19 in public spaces online in 20 pilot countries and in four languages. The aim of the platform is to better integrate social listening with other data sources and analyses that can inform infodemic response.
MeSH term(s)	Artificial Intelligence ; COVID-19 ; Humans ; Pandemics ; SARS-CoV-2 ; Social Media ; World Health Organization
Language	English
Publishing date	2021-05-27
Publishing country	Netherlands
Document type	Journal Article
ISSN	1879-8365
ISSN (online)	1879-8365
DOI	10.3233/SHTI210330
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Measuring the burden of infodemics with a research toolkit for connecting information exposure, trust, and health behaviours

Adam G. Dunn / Tina D. Purnat / Atsuyoshi Ishizumi / Tim Nguyen / Sylvie Briand

Archives of Public Health, Vol 81, Iss 1, Pp 1-

2023 Volume 8

Abstract: Abstract Background During a public health emergency, accurate and useful information can be drowned out by questions, concerns, information voids, conflicting information, and misinformation. Very few studies connect information exposure and trust to ... ...

Abstract	Abstract Background During a public health emergency, accurate and useful information can be drowned out by questions, concerns, information voids, conflicting information, and misinformation. Very few studies connect information exposure and trust to health behaviours, which limits available evidence to inform when and where to act to mitigate the burden of infodemics, especially in low resource settings. This research describes the features of a toolkit that can support studies linking information exposure to health behaviours at the individual level. Methods To meet the needs of the research community, we determined the functional and non-functional requirements of a research toolkit that can be used in studies measuring topic-specific information exposure and health behaviours. Most data-driven infodemiology research is designed to characterise content rather than measure associations between information exposure and health behaviours. Studies also tend to be limited to specific social media platforms, are unable to capture the breadth of individual information exposure that occur online and offline, and cannot measure differences in trust by information source or content. Studies are also designed very differently, limiting synthesis of results. Results We demonstrate a way to address these requirements via a web-based study platform that includes an app that participants use to record topic-specific information exposure, a browser plugin for tracking access to relevant webpages, questionnaires that can be delivered at any time during a study, and app-based incentives for participation such as visual analytics to compare trust levels with other participants. Other features of the platform include the ability to tailor studies to local contexts, ease of use for participants, and frictionless sharing of de-identified data for aggregating individual participant data in international meta-analyses. Conclusions Our proposed solution will be able to capture detailed data about information exposure and health ...
Keywords	Infodemic ; Infodemiology ; Health behaviours ; Misinformation ; Public aspects of medicine ; RA1-1270
Subject code	306
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Narrative Trends over the COVID-19 Pandemic: Digital Social Listening to Inform WHO Infodemic Management.

White, Becky / Ishizumi, Atsuyoshi / Yau, Brian / Wright, Amy / Lavery, Lucy / Nguyen, Tim / Briand, Sylvie / Zecchin, Tim / Purnat, Tina D

Studies in health technology and informatics

2023 Volume 302, Page(s) 893–894

Abstract: The COVID-19 infodemic is an overwhelming amount of information that has challenged pandemic communication and epidemic response. WHO has produced weekly infodemic insights reports to identify questions, concerns, information voids expressed and ... ...

Abstract	The COVID-19 infodemic is an overwhelming amount of information that has challenged pandemic communication and epidemic response. WHO has produced weekly infodemic insights reports to identify questions, concerns, information voids expressed and experienced by people online. Publicly available data was collected and categorized to a public health taxonomy to enable thematic analysis. Analysis showed three key periods of narrative volume peaks. Understanding how conversations change over time can help inform future infodemic preparedness and prevention planning.
MeSH term(s)	Humans ; COVID-19/epidemiology ; Pandemics ; SARS-CoV-2 ; Infodemic ; Social Media ; World Health Organization
Language	English
Publishing date	2023-05-18
Publishing country	Netherlands
Document type	Journal Article
ISSN	1879-8365
ISSN (online)	1879-8365
DOI	10.3233/SHTI230297
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Social Media Analysis Tools for Public Health: A Cross-Sectional Survey.

White, Becky K / Wilhelm, Elisabeth / Ishizumi, Atsuyoshi / Nguyen, Tim / Briand, Sylvie / Machiri, Sandra / Purnat, Tina D

Studies in health technology and informatics

2023 Volume 305, Page(s) 44–45

Abstract: During the COVID-19 pandemic the field of infodemic management has grown significantly. Social listening is the first step in managing the infodemic but little is known of the experience of public health professionals using social media analysis tools ... ...

Abstract	During the COVID-19 pandemic the field of infodemic management has grown significantly. Social listening is the first step in managing the infodemic but little is known of the experience of public health professionals using social media analysis tools for health. Our survey sought the views of infodemic managers. Participants (n=417) had an average of 4.4 years' experience in social media analysis for health. Results reveal gaps in technical capabilities of tools, data sources, and languages covered. For future planning for infodemic preparednessand preventi on it is vital to understand and deliver for analysis needs of those working in the field.
MeSH term(s)	Humans ; Social Media ; Cross-Sectional Studies ; Pandemics ; Public Health ; COVID-19/epidemiology
Language	English
Publishing date	2023-06-29
Publishing country	Netherlands
Document type	Journal Article
ISSN	1879-8365
ISSN (online)	1879-8365
DOI	10.3233/SHTI230419
Database	MEDical Literature Analysis and Retrieval System OnLINE

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