Trends of infodemiology studies: a scoping review

Zeraatkar, Kimia; Ahmadi, Maryam

doi:10.1111/hir.12216

Cited by 74 publications

(70 citation statements)

References 102 publications

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“…Concerning geosocial search, it finds user activities advertised on Online Social Networks (OSNs), in a specific geographical area (Beckerman et al, 2008) and can be used to reveal alarming events and to follow how they are perceived over time. Despite the recognized high potential of infodemiology (the study of occurrence, distribution and content of electronic health information (Zeraatkar and Ahmadi, 2018)), there are some limitations in using it to gather epidemiological data: it tracks only the segment of population that uses the Web, that is often unevenly distributed; it allows only a surface picture of a situation without any other individual health information; and it does not allow to have precise information about the real size of the study population.…”

Section: Sources Of Information and Mass Media And Social Media Coveragementioning

confidence: 99%

Environment and health: Risk perception and its determinants among Italian university students

Carducci

Fiore

Azara

et al. 2019

Science of The Total Environment

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Among the determinants of environmental health risk perception, health literacy and social media messages have been generally neglected. This study details the environmental health risk perception and its determinants in Italian university students, including a measure of functional health literacy and an analysis of newspapers and social media. A cross sectional survey was carried out among students from 15 Italian universities and different disciplines (grouped into Scientific-Health and Humanistic-Legal-Social sectors) using a self-administered anonymous questionnaire, divided into six sections: socio-demographic characteristics, information on health and environment, environmental health risk perception, trust, attitudes and behaviors and functional health literacy. Local newspapers and tweets in the same areas and period were analyzed in relation to quantity and topics. The study population included 4778 students (65.1% female) aged 21 ± 4.3 years, and functional health literacy was low (below the cutoff value) for 44.4% of students.A new outcome of the survey is that the detected association between high functional health literacy a higher global health risk perception and trust in institutions both as sources of information and as actors for protection against environmental risks.The internet and social networks were the most frequently consulted sources of information (77.7%), which was predictive of a higher risk perception. The possible relation between environmental health risk perception and tweet communication was highlighted by a comparison between the risk perception in the city with the highest number of tweets (Modena) and another one similar for socio-demographic characteristics (Pisa). In conclusion, the results of our study may be of help to strengthen information and education ⁎ 2Science of the Total Environment xxx (xxxx) xxx-xxx programs: functional health literacy should be taken into account in school programs, to produce a basic knowledge for a better understanding of health and environment. Moreover, mass and social media should be included in planning communication intervention and in verifying their results.

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Section: Sources Of Information and Mass Media And Social Media Coveragementioning

confidence: 99%

Environment and health: Risk perception and its determinants among Italian university students

Carducci

Fiore

Azara

et al. 2019

Science of The Total Environment

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“…[13,14] The Internet is being widely used for seeking health information nowadays, with about a third of the population in the world depending on it. [15] Recently, infodemiological methods were demonstrated to be competitive in providing real-time monitoring of psychological and behavioral outcomes in the medical and health area.…”

Section: Discussionmentioning

confidence: 99%

Public Interest in Raynaud’s Phenomenon: A Google Trends Analysis

Wang

Zhang

Zheng

et al. 2020

Preprint

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Introduction: Raynaud’s phenomenon is a common disorder affecting body extremities. As infodemiological methods developed, online search tools could be used to explore the public interest of the disease. The study aimed to determine the annual trend, seasonal pattern, and associated topics of Raynaud’s phenomenon.Methods: Google Trends was used to collect the data. “Raynaud syndrome” was selected as the search term. Data on monthly relative search volume (RSV) were collected from 4 selected countries (United States, United Kingdom, Australia, and New Zealand) and globally. Related topics were obtained, and annual related topics were also collected for analysis.Results: The maximum RSV appeared in January 2019, and the minimum value was observed in August 2011. The peak for RSV occurred in winter, and the bottom appeared in summer. In top related topics, “Maurice Raynaud” was the most related. In rising related topics, disease manifestations and autoimmune connective diseases were highly concerned. For annual related topics, associated diseases were attracting more attention over time.Conclusions: The population is interested in related diseases, pathogenesis, and treatment. There was a peak in winter for searching and revealed that there might be a positive correlation between disease attack and seasonal variation.

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“…Ideal infodemiology systems should work in real time and produce reliable evidence-based content [8]. To achieve these goals, it is necessary the existence of corpora that permit to validate new tools and methods.…”

Section: Infodemiologymentioning

confidence: 99%

Evaluating Information-Retrieval Models and Machine-Learning Classifiers for Measuring the Social Perception towards Infectious Diseases

et al. 2019

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Recent outbreaks of infectious diseases remind us the importance of early-detection systems improvement. Infodemiology is a novel research field that analyzes online information regarding public health that aims to complement traditional surveillance methods. However, the large volume of information requires the development of algorithms that handle natural language efficiently. In the bibliography, it is possible to find different techniques to carry out these infodemiology studies. However, as far as our knowledge, there are no comprehensive studies that compare the accuracy of these techniques. Consequently, we conducted an infodemiology-based study to extract positive or negative utterances related to infectious diseases so that future syndromic surveillance systems can be improved. The contribution of this paper is two-fold. On the one hand, we use Twitter to compile and label a balanced corpus of infectious diseases with 6164 utterances written in Spanish and collected from Central America. On the other hand, we compare two statistical-models: word-grams and char-grams. The experimentation involved the analysis of different gram sizes, different partitions of the corpus, and two machine-learning classifiers: Random-Forest and Sequential Minimal Optimization. The results reach a 90.80% of accuracy applying the char-grams model with five-char-gram sequences. As a final contribution, the compiled corpus is released.

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Trends of infodemiology studies: a scoping review

Cited by 74 publications

References 102 publications

Environment and health: Risk perception and its determinants among Italian university students

Environment and health: Risk perception and its determinants among Italian university students

Public Interest in Raynaud’s Phenomenon: A Google Trends Analysis

Evaluating Information-Retrieval Models and Machine-Learning Classifiers for Measuring the Social Perception towards Infectious Diseases

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