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This paper brings focus and attention to the aspect of time within health information behaviour. The purpose of this paper is to critically assess and present strengths and weaknesses of utilising the infodemiology approach and metrics as a novel way to examine temporal variations and patterns of online health information behaviour. The approach is shortly exemplified by presenting empirical evidence for temporal patterns of health information behaviour on different time-scales.

A short review of online health information behaviour is presented and methodological barriers to studying the temporal nature of this behaviour are emphasised. To exemplify how the infodemiology approach and metrics can be utilised to examine temporal patterns, and to test the hypothesis of existing rhythmicity of health information behaviour, a brief analysis of longitudinal data from a large discussion forum is analysed.

Clear evidence of robust temporal patterns and variations of online health information behaviour are shown. The paper highlights that focussing on time and the question of when people engage in health information behaviour can have significant consequences.

Studying temporal patterns and trends for health information behaviour can help in creating optimal interventions and health promotion campaigns at optimal times. This can be highly beneficial for positive health outcomes.

A new methodological approach to study online health information behaviour from a temporal perspective, a phenomenon that has previously been neglected, is presented. Providing evidence for rhythmicity can complement existing epidemiological data for a more holistic picture of health and diseases, and their behavioural aspects.

According to the studies conducted in Iran, the breast cancer is the most frequent type of cancer among women. This study aimed to explore the state of health information supply and demand on breast cancer among Iranian medical researchers and Iranian Web users from 2011 to 2015.

A mixed method research is conducted in this study. In qualitative part, a focus group interview is applied to the users to identify their selected keywords searched for breast cancer in Google. The collected data are analyzed using Open Code software. In quantitative part, data are synthesized using the R software in two parts. First, users’ internet information-seeking behavior (ISB) is analyzed using the Google Trends outputs from 2011 to 2015. Second, the scientific publication behavior of Iranian breast cancer specialists are surveyed using PubMed during the period of the study.

The results show that the search volume index of preferred keywords on breast cancer has increased from 4,119 in 2011 to 4,772 in 2015. Also, the findings reveal that Iranian scholars had 873 scientific papers on breast cancer in PubMed from 2011 to 2015. There was a significant and positive relationship between Iranian ISB in the Google Trends and SPB of Iranian scholars on breast cancer in PubMed.

This study investigates only the state of health information supply and demand in PubMed and Google Trends and not additional databases often used for medical studies and treatment.

This study provides a road map for health policymakers in Iran to direct the breast cancer studies.

While vaccines are an effective preventative measure to defend against the spread and harmful symptoms of COVID-19, information about COVID vaccines can be difficult to find and conflicting in its coverage of vaccines’ benefits and risks. This study aims to examine the extent to which Americans are searching for information about the three major vaccine producers (Pfizer-BioNTech, Moderna and Johnson & Johnson’s Janssen) in relation to the amount of reliable scholarly information that has been produced about each one.

Data were retrieved from Google Trends for the US Web users alongside scientific research output of the US scientists toward three Centers for Disease Control and Prevention (CDC)-authorized COVID-19 vaccines in Web of Science, Scopus and PubMed. The authors searched for descriptive statistical analyses to detect coronavirus-seeking behavior versus coronavirus releases in the USA from May 1, 2020, to April 30, 2021.

Of the three COVID-19 vaccines, Pfizer has attracted more attention from the US population. However, the greatest number of articles about COVID-19 vaccines published by the US scholars belonged to Moderna (M = 8.17), with Pfizer (M = 7.75) having slightly less, and Janssen (M = 0.83) well behind. A positive association was found between COVID-19 vaccine information-seeking behavior (ISB) on Google and the amount of research produced about that vaccine (P <0.001).

As the researchers use the single search engine, Google, to retrieve data from the USA, thus, selection bias will be existing as Google only gathers the data of people who chose to get the information by using this search engine.

If the policymakers in the US Department of Health and Human Services or the US CDC desire to improve the country’s health ISB and the scientific publication behavior (SPB) of the US researchers regarding COVID-19 vaccines studies, they should reference the results of such a study.

From an infodemiological viewpoint, these findings may support the health policymakers, as well as researchers who work on COVID-19 vaccines in the USA.

The authors review the literature on information behavior, an autonomous body of work developed mainly in library studies and compare it with work on knowledge mobilization. The aim is to explore how information behavior can contribute to understanding knowledge mobilization in healthcare management.

The authors conducted a narrative review using an exploratory, nonkeyword “double-sided systematic snowball” method. This is especially useful in the situation when the two traditions targeted are broad and relies on distinct vocabulary.

The authors find that the two bodies of work have followed similar trajectories and arrived at similar conclusions, with a linear view supplemented first by a social approach and then by a sensitivity to practice. Lessons from the field of information behavior can be used to avoid duplication of effort, repeating the same errors and reinventing the wheel among knowledge translation scholars. This includes, for example, focusing on sources of information or ignoring the mundane activities in which managers and policymakers are involved.

The study is the first known attempt to build bridges between the field of information behavior and the study of knowledge mobilization. The study, moreover, foregrounds the need to address knowledge mobilization in context-sensitive and social rather than technical terms, focusing on the mundane work performed by a variety of human and nonhuman agents.

The purpose of the current study is to theorize and apply a socio-technological model – the powerful influence of social determinants in conditioning the effects of information attention on social outcomes. Fundamentally, this study is motivated by the idea that the social determinants of information flow can be used as a predictive tool to inform public socio-policy decisions.

This study draws upon digital disparity literature and uses publicly available Google search queries in exploring online information attention and its relationships to the HIV/AIDS diffusion in US cities. This study’s secondary data collected from extant sources is used to draw attention to a holistic urban ecology under which online search attention represents the variation of information access at the aggregate level.

The main finding shows that online information attention, as indicated by search trend, is far from being a simple predictor, but operates in complex interactions with existing social environments. A bivariate correlation between AIDS information search and AIDS diffusion rate was found to be significant. However, predictive multivariate models displayed robust effects of social contextual variables, such as income level and racial composition of cities, in moderating the effect of online search information flow.

The importance of these insights is discussed for reducing socio-health disparities at the macro-social level, and policymakers and health administrators are recommended to incubate supportive online infrastructure as an effective preventive measure at the time of a crisis.

The unique contribution of this study is the premise that looks at the aggregate-ecological contour of cities within which the potential benefits of information occur, instead of examining the isolated function of mediated information per se. In this vein, online information search, in lieu of the exposure to mass media message that is often measured via self-reported items, is a particularly unique and fruitful area of future inquiry that this study promotes.

The article introduces selected theoretical approaches to time and temporality relevant to the field of library and information science, and it briefly introduces the papers gathered in this special issue. A number of issues that could potentially be followed in future research are presented.

The authors review a selection of theoretical and empirical approaches to the study of time that originate in or are of particular relevance to library and information science. Four main themes are identified: (1) information as object in temporal perspectives; (2) time and information as tools of power and control; (3) time in society; and (4) experiencing and practicing time.

The paper advocates a thorough engagement with how time and temporality shape notions of information more broadly. This includes, for example, paying attention to how various dimensions of the late-modern time regime of acceleration feed into the ways in which information is operationalised, how information work is commodified, and how hierarchies of information are established; paying attention to the changing temporal dynamics that networked information systems imply for our understanding of documents or of memory institutions; or how external events such as social and natural crises quickly alter modes, speed, and forms of data production and use, in areas as diverse as information practices, policy, management, representation, and organisation, amongst others.

By foregrounding temporal perspectives in library and information science, the authors advocate dialogue with important perspectives on time that come from other fields. Rather than just including such perspectives in library and information science, however, the authors find that the focus on information and documents that the library and information science field contributes has great potential to advance the understanding of how notions and experiences of time shape late-modern societies and individuals.

The paper aims to investigate the most influential social media information sources to trust in healthcare facilities. The article shows a valuable point of reference for understanding how social media becomes the casting of social capital.

This paper has taken 660 responses from the people who used social media for healthcare information in the mid of 2020 during the pandemic. The people were approached through different social media groups. The paper conducted structural equation modelling (SEM). The result has shown that with the instigating power of social capital where people put trust in social media information during pandemics.

The findings demonstrated that personal sources, government organisations and healthcare professionals are the most influential sources of social media. In order to effectively ensure the encompassing provision of COVID-19 health services, this article argues that social capital considerations establish trust between healthcare facilities seeking community to healthcare information providers.

This research has signified that social cohesion and concern for community welfare instigated people to engage in social media communication. The inherent social capital belongings influence people to trust the sources of health information from selected sources that appear on social media.

Healthcare policymakers may utilise this intense feeling of belongingness and cohesion of social capital and use social media platforms to spread health-related information.

The study shows social capital has the strength to entice people into healthcare-seeking behaviour. In this era, social capital is reformulated to digital social capital through social media and strongly affects people's trust.

Despite the abundant literature on panic buying during COVID-19 pandemic, the several causes and consequences of panic buying have been enormously ignored. The purpose of this study is to emphasize the consumer’s behavior during the COVID-19 pandemic and illustrate the comprehensive theoretical model of consumers’ panic buying to investigate its causes and consequences in a developing country empirically to uncover this gap.

The authors collected data from 419 households of all socioeconomic classes of Bangladesh. A hierarchical regression model analyzed the data.

This study finds that internal and external factors such as rumors, government strategies, fear and anxiety and health security significantly affect consumers’ panic buying behaviors. This finding supports some theories of human behavior. This study also finds that panic buying has internal and external consequences such as price hike, shortage of supply of products, dissatisfaction of consumers and increase in utility (benefit) of the products but not on consumer’s budget. This finding supports as well as contradicts some established theories of human and consumer behavior.

This study proves that panic buying cannot help the consumers and they are the ultimate sufferers of this. The findings of this study will help the government, media, suppliers and consumers to interact properly to maintain panic buying during a pandemic crisis. Giving a holistic explanation of the causes and consequences of panic buying by introducing some novel variables is a momentous strength of this study.

The purpose of this paper is to clarify the aims, monitoring methods and challenges of social media monitoring from the perspective of international companies. Trends in the literature are also investigated.

Based on a systematic literature review, 30 key articles from 2008 to 2012 were further analysed.

International companies need real-time monitoring software, expertise and dynamic visualization to facilitate early detection and prognoses supporting strategy making. This is a costly affair, prompting questions about return on investment. A recent trend in the research literature concerns the development of models describing how issues spread in social media with the aim of facilitating prognoses.

The online databases used comprised refereed peer-reviewed scientific articles. Books were not included in the search process.

Because information spreads fast in social media and affects international companies, they need to identify issues early, in order to monitor and predict their growth. This paper discusses the difficulties posed by this objective.

Social media monitoring is a young research area and research on the topic has been conducted from many different perspectives. Therefore, this paper brings together current insights geared towards corporate communication by international companies.