(Mis)informed about what? What it means to be a science-literate citizen in a digital world.

Science literacy is often held up as crucial for avoiding science-related misinformation and enabling more informed individual and collective decision-making. But research has not yet examined whether science literacy actually enables this, nor what skills it would need to encompass to do so. In this report, we address three questions to outline what it should mean to be science literate in today's world: 1) How should we conceptualize science literacy? 2) How can we achieve this science literacy? and 3) What can we expect science literacy's most important outcomes to be? If science literacy is to truly enable people to become and stay informed (and avoid being misinformed) on complex science issues, it requires skills that span the "lifecycle" of science information. This includes how the scientific community produces science information, how media repackage and share the information, and how individuals encounter and form opinions on this information. Science literacy, then, is best conceptualized as encompassing three dimensions of literacy spanning the lifecycle: Civic science literacy, digital media science literacy, and cognitive science literacy. Achieving such science literacy, particularly for adults, poses many challenges and will likely require a structural perspective. Digital divides, in particular, are a major structural barrier, and community literacy and building science literacy into media and science communication are promising opportunities. We end with a discussion of what some of the beneficial outcomes could be-and, as importantly, will likely not be-of science literacy that furthers informed and critical engagement with science in democratic society.

Highlights from the Era of Open Source Web-Based Tools.

High digital connectivity and a focus on reproducibility are contributing to an open science revolution in neuroscience. Repositories and platforms have emerged across the whole spectrum of subdisciplines, paving the way for a paradigm shift in the way we share, analyze, and reuse vast amounts of data collected across many laboratories. Here, we describe how open access web-based tools are changing the landscape and culture of neuroscience, highlighting six free resources that span subdisciplines from behavior to whole-brain mapping, circuits, neurons, and gene variants.

Planning and Reporting Effective Web-Based RAND/UCLA Appropriateness Method Panels: Literature Review and Preliminary Recommendations.

BACKGROUND: The RAND/UCLA Appropriateness Method (RAM), a variant of the Delphi Method, was developed to synthesize existing evidence and elicit the clinical judgement of medical experts on the appropriate treatment of specific clinical presentations. Technological advances now allow researchers to conduct expert panels on the internet, offering a cost-effective and convenient alternative to the traditional RAM. For example, the Department of Veterans Affairs recently used a web-based RAM to validate clinical recommendations for de-intensifying routine primary care services. A substantial literature describes and tests various aspects of the traditional RAM in health research; yet we know comparatively less about how researchers implement web-based expert panels. OBJECTIVE: The objectives of this study are twofold: (1) to understand how the web-based RAM process is currently used and reported in health research and (2) to provide preliminary reporting guidance for researchers to improve the transparency and reproducibility of reporting practices. METHODS: The PubMed database was searched to identify studies published between 2009 and 2019 that used a web-based RAM to measure the appropriateness of medical care. Methodological data from each article were abstracted. The following categories were assessed: composition and characteristics of the web-based expert panels, characteristics of panel procedures, results, and panel satisfaction and engagement. RESULTS: Of the 12 studies meeting the eligibility criteria and reviewed, only 42% (5/12) implemented the full RAM process with the remaining studies opting for a partial approach. Among those studies reporting, the median number of participants at first rating was 42. While 92% (11/12) of studies involved clinicians, 50% (6/12) involved multiple stakeholder types. Our review revealed that the studies failed to report on critical aspects of the RAM process. For example, no studies reported response rates with the denominator of previous rounds, 42% (5/12) did not provide panelists with feedback between rating periods, 50% (6/12) either did not have or did not report on the panel discussion period, and 25% (3/12) did not report on quality measures to assess aspects of the panel process (eg, satisfaction with the process). CONCLUSIONS: Conducting web-based RAM panels will continue to be an appealing option for researchers seeking a safe, efficient, and democratic process of expert agreement. Our literature review uncovered inconsistent reporting frameworks and insufficient detail to evaluate study outcomes. We provide preliminary recommendations for reporting that are both timely and important for producing replicable, high-quality findings. The need for reporting standards is especially critical given that more people may prefer to participate in web-based rather than in-person panels due to the ongoing COVID-19 pandemic.

Optimal Task Allocation Algorithm Based on Queueing Theory for Future Internet Application in Mobile Edge Computing Platform.

For 5G and future Internet, in this paper, we propose a task allocation method for future Internet application to reduce the total latency in a mobile edge computing (MEC) platform with three types of servers: a dedicated MEC server, a shared MEC server, and a cloud server. For this platform, we first calculate the delay between sending a task and receiving a response for the dedicated MEC server, shared MEC server, and cloud server by considering the processing time and transmission delay. Here, the transmission delay for the shared MEC server is derived using queueing theory. Then, we formulate an optimization problem for task allocation to minimize the total latency for all tasks. By solving this optimization problem, tasks can be allocated to the MEC servers and cloud server appropriately. In addition, we propose a heuristic algorithm to obtain the approximate optimal solution in a shorter time. This heuristic algorithm consists of four algorithms: a main algorithm and three additional algorithms. In this algorithm, tasks are divided into two groups, and task allocation is executed for each group. We compare the performance of our proposed heuristic algorithm with the solution obtained by three other methods and investigate the effectiveness of our algorithm. Numerical examples are used to demonstrate the effectiveness of our proposed heuristic algorithm. From some results, we observe that our proposed heuristic algorithm can perform task allocation in a short time and can effectively reduce the total latency in a short time. We conclude that our proposed heuristic algorithm is effective for task allocation in a MEC platform with multiple types of MEC servers.

Online interest in surgical treatment for benign prostatic hyperplasia using Google trends.

PURPOSE: Online health information-seeking behavior has increased over the past 15 years; however, little is known about the online interest for surgical treatment of men with benign prostatic hyperplasia. We used Google Trends to evaluate online interest for various surgical procedures for benign prostatic hyperplasia in the US and worldwide. METHODS: Transurethral resection of the prostate, photoselective vaporization of the prostate, Holmium laser enucleation of the prostate, Urolift, and Rezum were selected as search terms of interest within Google Trends. Google Trends normalizes the popularity of search terms on a 0-100 scale. ANOVA and the average rate of change in popularity scores were conducted from July 2015 to February 2019. RESULTS: From 2004 to 2019, online interest in transurethral resection of the prostate and photoselective vaporization of the prostate remained stable in the US and worldwide; meanwhile, there was an upward trend for Urolift and Rezum. There was a statistically significant increase in the online interest for Holmium laser enucleation of the prostate in the US and worldwide; however, the mean popularity score was significantly higher worldwide. CONCLUSIONS: A shift in online interest towards minimally invasive surgical therapies for benign prostatic hyperplasia was demonstrated in the US and worldwide and parallels clinical practice patterns, such as HoLEP and Urolift surgical volumes in Indiana and Australia, respectively. Google Trends can be used in real-time to gauge online interest for surgical procedures and help guide physician-patient counseling.

Power of the collective: A review of multimodal internet-based surgical education resources in the 21st century.

Electronic resources have changed surgical education in the 21st century. Resources spanning from digital textbooks to multiple choice question banks, online society meetings, and social media can facilitate surgical education. The COVID pandemic drastically changed the paradigm for education. The ramifications of Zoom lectures and online surgical society meetings will last into the future. Educators and learners can be empowered by the many available electronic resources to enhance surgical training and education.

Google search data as a novel adjunct to patient and public involvement in rheumatology research.

Patient and public involvement is essential in the design and implementation of research studies to ensure research remains relevant and in line with public priorities. Public views on a given area of research may be sought via platforms such as focus groups or surveys. Here, we present the use of an openly available Google search data query tool, which may be used alongside traditional forms of patient and public involvement in research to highlight public perceptions and priorities. We used an online search query tool ("AnswerThePublic.com") to explore public Google searches relating to "arthritis," and an exemplar rheumatic disease, "rheumatoid arthritis." The most common searches relating to these diseases included quality of life, treatment, prognosis, as well as impacts on life, including work. However, they also reveal concerns that may be more difficult to elicit in face-to-face focus groups, such as questions on alcohol consumption in arthritis, and impacts on mental health. Using public search engine data in research, alongside the important traditional methods of patient and public involvement, is a cost-effective and time-efficient method of gauging public views and concerns on a given topic. It may facilitate broad scoping searches of public priorities and help to guide future research questions.

A content and quality evaluation of ACGME-accredited reproductive endocrinology and infertility fellowship program webpages.

PURPOSE: To analyze the content of websites of ACGME-accredited REI fellowship programs in the USA and to determine whether there are differences in content across geographic regions. METHODS: All ACGME-accredited REI fellowship websites active as of September 2020 were evaluated and reviewed using 20 criteria in the following nine domains: program overview, contact information, application information, curriculum, current fellows, research, alumni, faculty, and fellowship benefits. Website content was compared across geographic regions (Northeast, Midwest, South, and West) of the USA. Analyses were completed using chi-squared univariate tests with p < 0.05 considered statistically significant. RESULTS: Out of the 49 accredited REI fellowship programs, 45 (92%) had a dedicated website. The most commonly available information included a program description (88%), clinical sites (84%), and application requirements (78%). Programs less commonly shared information regarding research requirements and didactics (65% for each). Current fellows were featured in 55% of websites with their pictures displayed in 41% and ongoing research in 20%. Salary and alumni information were included in only 14% and 12% of sites, respectively. When comparing content by geographic region, programs in the South had less information regarding application requirements (p < 0.001), interview dates (p = 0.03), and clinical sites (p = 0.04) compared to all other regions. CONCLUSIONS: REI fellowship websites have significant variability in content available to applicants, and many are lacking information about core fellowship requirements. An informative and well-constructed website has the potential to improve perception of a graduate program.

Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web-Based Cross-Sectional Study.

BACKGROUND: In this globalized and high-tech era, the computer has become an integral part of daily life. A constant use of computer for 3 hours and more per day can cause computer vision syndrome (CVS), which is one of the leading occupational hazards of the 21st century. The visual difficulties are the most common health problems associated with excessive computer use. Therefore, this study aimed to assess the prevalence and associated factors of CVS among instructors working in Ethiopian universities. METHODS: A web-based cross-sectional study was conducted among 422 university instructors in Ethiopia from February 02 to March 24, 2021. A structured and self-administered questionnaire prepared by Google Forms was shared among instructors through their e-mail addresses, Facebook, and Telegram accounts. Data cleanup and cross-checking were done before analysis using SPSS version 23. A multivariable logistic regression was applied to identify factors associated with CVS using p value <0.05 and 95% confidence interval. RESULTS: Of the total 416 participants, about 293 (70.4%) were reported to have CVS (95% CI: 65.9-74.5%), of which 54.6% were aged 24-33 years. Blurred vision, pain in and around the eye, and eye redness were the main symptoms reported. Working in third-established universities (AOR = 8.44, 95% CI: 5.47-21.45), being female (AOR = 2.69, 95% CI: 1.28-5.64), being 44 years old and above (AOR = 2.73, 95% CI: 1.31-5.70), frequently working on the computer (AOR = 5.51, 95% CI: 2.05-14.81), and sitting in bent back position (AOR = 8.10, 95% CI: 2.42-23.45) were the factors associated with computer vision syndrome. CONCLUSIONS: In this study, nearly seven-tenths of instructors in Ethiopian universities reported having symptoms of computer vision syndrome. Working in third-generation universities, being female, age, frequently working on the computer, and sitting in bent back position were statistically significant predictors in computer vision syndrome. Therefore, optimizing exposure time, addressing ergonomic hazards associated with computer usage through on-the-job and off-the-job training, and making the safety guidelines accessible for all university instructors would be critical to address the problem.

Changes in internet use and wishes of cancer survivors: A comparison between 2005 and 2017.

BACKGROUND: Given the major changes in internet use for health communication, the objective of the current study was to compare the internet use and wishes of cancer survivors between 2005 and 2017. METHODS: The authors drew a sample of 390 patients in 2005 and 539 patients in 2017 who were diagnosed with breast (128 patients in 2005 and 143 patients in 2017), prostate (96 patients in 2005 and 126 patients in 2017), or gynecologic (89 patients in 2005 and 188 patients in 2017) cancer or lymphoma (77 patients in 2005 and 82 patients in 2017) in 4 different hospitals for the periods 2002 through 2004 and 2014 through 2016. These patients were sent a paper-based questionnaire that contained 45 questions regarding demographics and 4 functions of internet use: content, communication, community, and e-health. RESULTS: The response in 2017 (53%) was lower than that in 2005 (75%). Survivors browsed the internet most frequently to search for information regarding cancer shortly after being diagnosed and while waiting for treatment. There was little change noted with regard to the relative importance attached to the various subjects. In 2017, significant increases were evident with regard to finances (+33%), health care insurance (+29%), and genetics and/or heritability (+27%). The wishes expressed in 2005 by patients were realized in part in 2017. CONCLUSIONS: A significant sample of cancer survivors in the Netherlands have indicated that the internet is an important source of information regarding their illness. However, little change was evident over the past 15 years with regard to patients' priorities regarding their wishes for internet use. The wishes of users in 2005 were found to accurately reflect the internet use of the majority of patients in 2017. The results of the current study support the belief that health care professionals should expand their online services and tailor them toward the needs and wishes of their patients.

Is World Malaria Day an effective awareness campaign? An evaluation of public interest in malaria during World Malaria Day.

OBJECTIVE: We retrospectively analysed the relative search interest of malaria to (1) assess the relationship between Internet searches for malaria and rates of infection in 11 countries considered 'high burden' by WHO in 2019 and to (2) determine the ability of World Malaria Day on April 25 to generate interest in the disease. METHODS: Using Google Trends, we sought to determine the relative popularity of the topic of Malaria over 4 years (2015-2019). Worldwide and country-specific searches for 'malaria' were used to assess the influence the international awareness day has on global and local interest in malaria. In order to determine whether a relationship exists between Internet searches and the disease burden of malaria, the information gathered from Google Trends was then compared with reports of morbidity and mortality of malaria from the 2019 World Malaria Report. RESULTS: Globally, a negative mean difference in relative search volume was observed between World Malaria Day and the control periods of -2.46 (95% CI: -5.57 to 0.66). The relative search volume for malaria-related search terms increased by 2.91% (±4.60) from January 2015 to 1 July 2019 in the 5 countries with the highest malaria disease burden. A positive correlation (r = 0.804) was found between per capita infections and malaria Internet search interest in addition to deaths per 1000 residents and malaria relative search interest (r = 0.663) between 2015 and 2018. CONCLUSION: Initiatives such as World Malaria Day may help raise public awareness concerning a specific disease, prompting individuals to seek out additional information. This is especially important in high-burden countries where access to the Internet is steadily growing. In these circumstances, having quality and easily accessible information is vital in the continuing fight against malaria.

OBJECTIF: Nous avons analysé rétrospectivement l'intérêt de recherche relatif du paludisme pour (1) évaluer la relation entre les recherches sur Internet pour le paludisme et les taux d'infection dans 11 pays considérés comme «à forte charge¼ par l'OMS en 2019 et pour (2) déterminer la capacité de la Journée Mondiale contre le Paludisme, le 25 avril à susciter l'intérêt pour la maladie. MÉTHODES: A l'aide de Google Trends, nous avons cherché à déterminer la popularité relative du thème du paludisme sur 4 ans (2015-2019). Des recherches mondiales et spécifiques aux pays pour le «paludisme¼ ont été utilisées pour évaluer l'influence de la journée internationale de sensibilisation sur l'intérêt mondial et local pour le paludisme. Afin de déterminer s'il existe une relation entre les recherches sur Internet et la charge de morbidité du paludisme, les informations recueillies à partir de Google Trends ont ensuite été comparées aux rapports sur la morbidité et la mortalité du paludisme du Rapport Mondial sur le Paludisme 2019. RÉSULTATS: Globalement, une différence moyenne négative du volume de recherche relative a été observée entre la Journée Mondiale contre le Paludisme et les périodes témoins de -2,46 (IC95%: -5,57 à 0,66). Le volume de recherche relatif pour les termes de recherche liés au paludisme a augmenté de 2,91% (± 4,60) de janvier 2015 au 1er juillet 2019 dans les 5 pays où la charge de morbidité du paludisme est la plus élevée. Une corrélation positive (r = 0,804) a été trouvée entre les infections par habitant et l'intérêt de la recherche sur le paludisme sur Internet en plus des décès pour 1000 habitants et l'intérêt de la recherche relative du paludisme (r = 0,663) entre 2015 et 2018. CONCLUSION: Des initiatives telles que la Journée Mondiale contre le Paludisme peuvent contribuer à sensibiliser le public à une maladie spécifique, incitant les individus à rechercher des informations supplémentaires. Ceci est particulièrement important dans les pays à forte charge où l'accès à Internet est en constante augmentation. Dans ces circonstances, il est essentiel de disposer d'informations de qualité et facilement accessibles pour la lutte continue contre le paludisme.

Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data.

Dengue and influenza-like illness (ILI) are two of the leading causes of viral infection in the world and it is estimated that more than half the world's population is at risk for developing these infections. It is therefore important to develop accurate methods for forecasting dengue and ILI incidences. Since data from multiple sources (such as dengue and ILI case counts, electronic health records and frequency of multiple internet search terms from Google Trends) can improve forecasts, standard time series analysis methods are inadequate to estimate all the parameter values from the limited amount of data available if we use multiple sources. In this paper, we use a computationally efficient implementation of the known variable selection method that we call the Autoregressive Likelihood Ratio (ARLR) method. This method combines sparse representation of time series data, electronic health records data (for ILI) and Google Trends data to forecast dengue and ILI incidences. This sparse representation method uses an algorithm that maximizes an appropriate likelihood ratio at every step. Using numerical experiments, we demonstrate that our method recovers the underlying sparse model much more accurately than the lasso method. We apply our method to dengue case count data from five countries/states: Brazil, Mexico, Singapore, Taiwan, and Thailand and to ILI case count data from the United States. Numerical experiments show that our method outperforms existing time series forecasting methods in forecasting the dengue and ILI case counts. In particular, our method gives a 18 percent forecast error reduction over a leading method that also uses data from multiple sources. It also performs better than other methods in predicting the peak value of the case count and the peak time.

Factors Related to the Behavior of People Who Have Never Used the Internet for Voluntary Reasons: Cross-Sectional Survey Study.

BACKGROUND: If there are people who do not want to use the internet despite having the circumstances and conditions for using it, another policy consideration will be needed. OBJECTIVE: The purpose of this study was to explore the factors related to the behavior of people who do not voluntarily use the internet. METHODS: A cross-sectional survey was conducted in 2018. It used a proportional quota random sampling design to select a representative sample of Koreans. Accordingly, 6150 participants were included in the study. Multiple logistic regression methods were used to explore the predicting factors of the act of voluntarily not using the internet. RESULTS: Age, education level, bonding and bridging social capitals, and daily life satisfaction for health status were found to be factors related to the behavior of not voluntarily using the internet. However, gender, household income, occupation, family size, and community type were not related to voluntary nonuse of the internet. CONCLUSIONS: It was found that sociodemographic factors, such as age and education level, which are difficult to modify, along with psychosocial factors located deeper than the visible living conditions, such as social capital and life satisfaction, are involved in voluntary internet nonuse. These results also suggest that it is not desirable to proceed with policies related to information and communications technology on a separate track, but rather that they should be comprehensively approached with other social policies that design various social interventions in order to enhance equity within the society.

Infertility influencers: an analysis of information and influence in the fertility webspace.

PURPOSE: To examine fertility-related social media accounts and influencers on two social media platforms. METHODS: The search function of Twitter (TW) and Instagram (IG) was used to generate a list of accounts with the terms: fertility, infertility, ttc, egg freezing, ivf, endometriosis, and reproductive. Accounts not in English, in private, with no posts in > 1 year, or with content unrelated to search terms were excluded. Accounts were assessed for author type; REI board certification (REI-BC); influencer (INF) status (> 10 K followers on IG; verified check mark on TW); account demographics; and content in last 5 posts. Statistical analysis included unpaired t tests, a classification and regression tree (CART) analysis, and stepwise multiple logistic regression. RESULTS: Seven hundred ten accounts were identified and 537 (278 TW, 259 IG) were included. Account types included societies, clinics, physicians, patients, groups, and "other." Instagram content (1290 posts reviewed) was primarily personal stories (31.7%) or inspiration/support (23.7%). Twitter content (1390 posts reviewed) was mostly promotion (28.2%) and research/education (20.2%). Thirty-nine accounts (12.5%) were influencers. Fertility influencers were most often awareness/support accounts (59.8% TW, 25.0% IG), patients (12.8% TW, 25% IG), or other (17.9% TW, 21.0% IG). Only 7.7% TW and 7.1% IG INFs were board-certified REI physicians. The best predictor for classification as an influencer was high activity (> 50 posts/month TW, > 10 posts/month IG). CONCLUSION: As patients increasingly utilize social media to obtain and engage with health information, it is critical to understand the fertility-related SM landscape. This understanding may help to successfully enhance relationships with patients and ensure dissemination of accurate information.

Bio-Inspired Approaches to Safety and Security in IoT-Enabled Cyber-Physical Systems.

Internet of Things (IoT) and Cyber-Physical Systems (CPS) have profoundly influenced the way individuals and enterprises interact with the world. Although attacks on IoT devices are becoming more commonplace, security metrics often focus on software, network, and cloud security. For CPS systems employed in IoT applications, the implementation of hardware security is crucial. The identity of electronic circuits measured in terms of device parameters serves as a fingerprint. Estimating the parameters of this fingerprint assists the identification and prevention of Trojan attacks in a CPS. We demonstrate a bio-inspired approach for hardware Trojan detection using unsupervised learning methods. The bio-inspired principles of pattern identification use a Spiking Neural Network (SNN), and glial cells form the basis of this work. When hardware device parameters are in an acceptable range, the design produces a stable firing pattern. When unbalanced, the firing rate reduces to zero, indicating the presence of a Trojan. This network is tunable to accommodate natural variations in device parameters and to avoid false triggering of Trojan alerts. The tolerance is tuned using bio-inspired principles for various security requirements, such as forming high-alert systems for safety-critical missions. The Trojan detection circuit is resilient to a range of faults and attacks, both intentional and unintentional. Also, we devise a design-for-trust architecture by developing a bio-inspired device-locking mechanism. The proposed architecture is implemented on a Xilinx Artix-7 Field Programmable Gate Array (FPGA) device. Results demonstrate the suitability of the proposal for resource-constrained environments with minimal hardware and power dissipation profiles. The design is tested with a wide range of device parameters to demonstrate the effectiveness of Trojan detection. This work serves as a new approach to enable secure CPSs and to employ bio-inspired unsupervised machine intelligence.

The applicability of web-based solutions in headache epidemiology research.

BACKGROUND: Epidemiological research of headache is vital but resource consuming prerequisite for evidence-based development in the field. Rapid evolution of information technology may provide new opportunities for population-based surveys. The aim of this study was to evaluate the applicability of web-based solutions in epidemiological studies of primary headaches. METHODS: An online survey was conducted among 20-64 year old Estonian citizens, using a previously validated headache questionnaire. The participants were accessed through most popular portals and e-mail domains to get the maximum coverage of Estonian digital community. The resulting one-year headache prevalences were compared to those acquired in parallel from a population-based cross-sectional person-to-person study in Estonia. RESULTS: Five thousand seven hundred eight entries were made by 5347 participants in the online study. Of the participants, 3896 (72.9%) had no headache, 1436 (26.8%) had only one and 15 (0.3%) had more than one type of headache. The study sample demographics were statistically significantly different from Estonian population and the prevalences were adjusted by age, gender, education and habitat. The proportion of headache sufferers was smaller in the online study sample (23.1% vs 41.0% in the population-based parallel person-to-person study). Among the headache sufferers the proportions of different headache diagnoses were similar across the two studies with the exceptions of episodic migraine and episodic tension-type headache. There were less migraine and more tension-type headache sufferers in the online study sample. DISCUSSION: This is the first study addressing applicability of web-based solutions in headache related large epidemiological studies. Online approach presents a much faster means of data collection, larger samples, has mechanisms of avoiding data contamination and distinguishes the proportions of most primary headache disorders among the headache sufferers. However, the present online survey was significantly biased towards the people without headache, leading to underestimation of headache prevalence. This stems from the shortcomings related to method of sampling, access and engagement. CONCLUSION: Online headache epidemiology research could be a resource saving alternative to person-to-person studies, however, further research is needed to overcome the problems related to methods of sampling, access and engagement.

Internet Addiction in Adolescents: A Systematic Review of Nursing Studies.

Nursing studies related to internet addiction in adolescents were assessed in the current systematic review. Six databases were searched, and 35 studies were included. Internet addiction was found to have negative effects on adolescents' mental, psychosocial, and physical health, with 43.4%, 43.4%, and 8.8% of studies, respectively, examining these variables. Nursing practices to support adolescents' mental, psychosocial, and physical health should be planned and implemented and outcomes researched. [Journal of Psychosocial Nursing and Mental Health Services, 58(3), 47-55.].

Trends in interest of COVID-19 on Polish Internet.

INTRODUCTION: This study aims to investigate the social interest in SARS-CoV-2 and COVID-19 in the Internet media during the epidemic in Poland and serves as a complement to longitudinal surveys monitoring public perception in real time. METHODS: We quantitatively analyzed "coronavirus" digital footprints on the Internet, in particular, on Google, Twitter, YouTube, Wikipedia and electronic media represented by EventRegistry, from 15.01 to 07.04.2020 (before and after official introduction of COVID-19 to Poland on 04.03.2020). We present results on trend analysis supported by statistical techniques. RESULTS: We identified six major temporal clusters of the interest on the topic COVID-19: 1) Chinese, 2) Italian, 3) Waiting, 4) Mitigations, 5) Physical distancing and Lockdown, 6) Anti-crisis shield. There was an exponential increase of the interest when the Polish government "declared a war against disease" around 11/12.03.2020 with a massive response activity. Later on, there was a decay in the interest with additional phases related to physical distancing and an anti-crisis legislation act associated with pronounced local peaks. We have found that declarations of response strategies by the Polish prime minister or the minister of health gathered the highest attention of Internet users. So already enacted or in force events do not affect the interest to such an extent. We have observed very weak or even negative correlations between a colloquial search term "antiviral mask" in Google, encyclopaedic definition in Wikipedia "SARS-CoV-2" as well as official COVID-19 incidence series, implying different mechanisms governing the search for knowledge, panic related behaviour and actual burden of COVID-19. CONCLUSIONS: Traditional and social media do not only reflect reality, but also create it. Interest in COVID-19 (measured by topic intensity on the Internet) is unrelated to the officially notified viral pressure (measured by incidence) and probably physical risk of acquiring infection in Poland. As traditional media are ahead of social media in time, we advise to choose traditional news media for a quick dissemination of information, however for a greater impact, social media should be used. Otherwise public information campaigns might have less impact on society than expected.

Global public interest in systemic lupus erythematosus: an investigation based on internet search data.

OBJECTIVE: This study aims at investigating the global public interest in seeking information about systemic lupus erythematosus (SLE) using Google Trends (GT). METHODS: An electronic search was performed using GT with the search term lupus as well as the option of disease from January 2004 to December 2018. Cosinor analysis was applied to detect the seasonality of SLE-related relative search volume (RSV). In addition, analysis on SLE-related topics including "hot topics" and "top rising topics" was also conducted. RESULTS: Overall, SLE-related RSV showed a decreasing trend from January 2004 to December 2013 and then demonstrated a slowly increasing trend from January 2014 to December 2018. Cosinor test showed no significant seasonal variation in SLE-related RSV (p > .025). RSV peaked in May and reached the trough in November. The top seven rising topics were Selena Gomez, Sjögren syndrome, autoimmunity, rheumatoid arthritis, rheumatology, antinuclear antibody and autoimmune disease. CONCLUSION: The results from GT analysis showed slowly increasing internet searches for SLE in recent years. This trend was followed by a peak of RSV in May and reached its lowest level in November. However, globally, the results did not reveal a significant seasonal variation in GT for SLE. Additionally, the top fast-growing topics regarding SLE may be valuable for doctors and nurses to provide timely education of the disease to patients, as well as promote the development of public health.