e.g. mhealth
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Skip search results from other journals and go to results- 184 Journal of Medical Internet Research
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Impact of Social Media Influencers on Amplifying Positive Public Health Messages
infodemiologyInfodemiology and Infoveillance Vaccination Sentiment and Anti-Vaccination Infodemiology Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management Infodemiology in Public Health Informatics
J Med Internet Res 2025;27:e73062
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Infodemiology was defined as “The framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet.” It has been shown to effectively highlight public health issues, assess the impact of health care policies, and uncover public concerns during global pandemics, as well as in chronic and contagious diseases, along with related public acceptance [5-9].
JMIR Cancer 2025;11:e57414
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These approaches are part of a recent field of studies termed “infodemiology,” which is 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” [1,11].
Infodemiology studies have been conducted to accomplish different goals [7,12,13].
J Med Internet Res 2025;27:e51804
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new daily COVID-19 cases and deaths using search engine query data in South Korea from 2020 to 2021: infodemiology Reference 26: Correlations of online search engine trends with coronavirus disease (COVID-19) incidence: infodemiology Reference 46: Understanding the community risk perceptions of the COVID-19 outbreak in South Korea: infodemiologyinfodemiology infodemiology studyInfodemiology and InfoveillanceTime-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology
J Med Internet Res 2024;26:e63476
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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” [54]. Infodemiology uses sophisticated algorithms and data analytics tools to sift through vast amounts of web-based data, including search engine queries, social media posts, and discussions on health forums [54-60].
JMIR Infodemiology 2024;4:e57748
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Relationships, or user interactions, in social networks are often used to facilitate understanding of information diffusion in infodemiology [61]. We focused on 2 types of relationships on Twitter: mentions and retweets. A mention (ie, @username) is a tweet that quotes another user’s name in the text. The user who is mentioned will receive a notification from Twitter. A retweet is a reposting of a tweet that starts with “RT @username” [62].
J Med Internet Res 2024;26:e52997
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infodemiologyInfodemiology and Infoveillance Vaccination Sentiment and Anti-Vaccination Infodemiology Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management Infodemiology in Public Health Informatics
J Med Internet Res 2024;26:e56651
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infodemiologyInfodemiology and Infoveillance Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic ManagementPredicting Prefecture-Level Well-Being Indicators in Japan Using Search Volumes in Internet Search Engines: Infodemiology
J Med Internet Res 2024;26:e64555
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Web-based search volume for HIV tests and HIV-testing preferences during the COVID-19 pandemic in Japan: infodemiology search interest in long-term symptoms of coronavirus disease 2019 during the COVID-19 pandemic in Japan: infodemiologyinfodemiologyInfodemiology and Infoveillance Infodemiology in Public Health Informatics Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management Early Results in Infodemiology and Infoveillance
JMIR Form Res 2024;8:e59395
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Infodemiology—the study of the “distribution and determinants of information across electronic platforms”—provides valuable insights into health information–seeking behavior [2]. Infodemiology research often relies on data from sources such as Google Trends, which aggregates and anonymizes search data from Google’s search engine. Unlike traditional data collection methods, Google Trends offers real-time data that can be stratified by geographical region and time period.
JMIR Dermatol 2024;7:e60282
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