JMIR Infodemiology

Focusing on determinants and distribution of health information and misinformation on the internet, and its effect on public and individual health.

Editor-in-Chief:

Tim Ken Mackey, MAS, PhD, University of California San Diego, USA


Impact Factor 2024

JMIR Infodemiology (JI, ISSN 2564-1891, Editor-in-Chief: Tim Ken Mackey) launched in 2021, is a PubMed Central/PubMed, MEDLINE, Scopus, DOAJ, Web of Science, EBSCO/EBSCO Essentials, and CABI-indexed, peer-reviewed journal, focusing on infodemiology, the study of determinants and the distribution of health information and misinformation on the internet, and its effect on public and individual health. The new scientific discipline of "Infodemiology," first introduced in 2002, has been gaining momentum due to the COVID-19 infodemic, with the WHO recognizing it as an important pillar to manage public health emergencies. JMIR Publications is proud to have been spearheading the advancement of this new scientific discipline for more than a decade. We are now accelerating the development of this new interdisciplinary discipline with the first and only journal devoted to this rapidly evolving field, by bringing together thought leaders in research, data science, and policy. Areas of interest include information monitoring (infoveillance, including social listening); ehealth literacy and science literacy; knowledge refinement and quality improvement processes and policies; and the influence of political and commercial interests on effective knowledge translation. 

Recent Articles

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Infodemic Management

Despite being a pandemic, the impact of the spread of COVID-19 extends beyond public health, influencing areas such as the economy, education, work style, and social relationships. Research studies that document public opinions and estimate the long-term potential impact after the pandemic can be of value to the field.

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Infodemic Management

Self-harm and suicide are major public health concerns worldwide, with attention focused on the web environment as a helpful or harmful influence. Longitudinal research on self-harm and suicide–related internet use is limited, highlighting a paucity of evidence on long-term patterns and effects of engaging with such content.

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Data Sources and Open Data for Infodemiology

Social media posts by clinicians are not bound by the same rules as peer-reviewed publications, raising ethical concerns that have not been extensively characterized or quantified.

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Research Letter

Despite challenges related to the data quality, representativeness, and accuracy of artificial intelligence–driven tools, commercially available social listening platforms have many of the attributes needed to be used for digital public health surveillance of human papillomavirus vaccination misinformation in the online ecosystem.

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Health and Risk Communication

Throughout the COVID-19 pandemic, social media has served as a channel of communication, a venue for entertainment, and a mechanism for information dissemination.

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Infoveillance and Social Listening

The COVID-19 pandemic prompted global behavioral restrictions, impacting public mental health. Sentiment analysis, a tool for assessing individual and public emotions from text data, gained importance amid the pandemic. This study focuses on Japan’s early public health interventions during COVID-19, utilizing sentiment analysis in infodemiology to gauge public sentiment on social media regarding these interventions.

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Infoveillance and Social Listening

Health agencies have been widely adopting social media to disseminate important information, educate the public on emerging health issues, and understand public opinions. The Centers for Disease Control and Prevention (CDC) widely used social media platforms during the COVID-19 pandemic to communicate with the public and mitigate the disease in the United States. It is crucial to understand the relationships between the CDC’s social media communications and the actual epidemic metrics to improve public health agencies’ communication strategies during health emergencies.

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Health and Risk Communication

Social media has the potential to provide social support for rare disease communities; however, little is known about the use of social media for the expression of medical uncertainty, a common feature of rare diseases.

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Data Sources and Open Data for Infodemiology

Traditionally, surveys are conducted to answer questions related to public health but can be costly to execute. However, the information that researchers aim to extract from surveys could potentially be retrieved from social media, which possesses data that are highly accessible and lower in cost to collect.

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Health and Risk Communication

The COVID-19 pandemic necessitated rapid real-time surveillance of epidemiological data to advise governments and the public, but the accuracy of these data depends on myriad auxiliary assumptions, not least accurate reporting of cases by the public. Wastewater monitoring has emerged internationally as an accurate and objective means for assessing disease prevalence with reduced latency and less dependence on public vigilance, reliability, and engagement. How public interest aligns with COVID-19 personal testing data and wastewater monitoring is, however, very poorly characterized.

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Vaccination Sentiment and Anti-Vaccination Infodemiology

Health misinformation shared on social media can have negative health consequences; yet, there is a dearth of field research testing interventions to address health misinformation in real time, digitally, and in situ on social media.

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Preprints Open for Peer-Review

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