Tableau Software Research Articles

Research trends in criteria importance through intercriteria correlation (CRITIC) method: a visual analysis of bibliographic data using the Tableau software

Purpose Criteria importance through intercriteria correlation (CRITIC) is a multicriteria decision-making method that helps compute the weights of decision criteria by considering the contrast intensity and conflicting relationships inherent in each criterion. This study aims to conduct a bibliometric analysis to provide quantitative insights into the research trends concerning the CRITIC method. Design/methodology/approach The study assembled bibliographic data from 220 CRITIC-based publications retrieved from the Scopus database. Subsequently, the gathered data were processed using Tableau software, using specific functions within the software to format them to suit the analysis requirements. Following data preparation, a visual analysis was then conducted based on five parameters that can characterize the research evolutions in CRITIC. These parameters include research productivity across years, dominant countries, dominant researchers, dominant publication outlets and popular research topics. Various visualization techniques, such as combined charts, geographical maps and word clouds, were used to draw conclusions for each parameter. Findings The study discovered a burgeoning trend in CRITIC research in recent years, particularly from 2019 onwards. The COVID-19 pandemic unexpectedly contributed to this upward trend, prompting remarkable collaboration among researchers who used diverse decision-making methods, such as CRITIC, to provide data-driven solutions for addressing COVID-19 challenges. Additionally, the study identified China and Iran as the leading countries in CRITIC research, with notable researchers such as Xindong Peng and Mehdi Keshavarz-Ghorabaee predominantly affiliated with institutions in these countries. Keyword analysis indicated the application of CRITIC across various trending topics, including Industry 4.0 and environmental sustainability. Originality/value No bibliometric analyses have been conducted on the CRITIC method in the literature since its inception in 1995, leaving the scientific community clueless about its research trends. To the best of the author’s knowledge, this study serves as the first bibliometric analysis, providing quantitative evidence on the research trends associated with the CRITIC method. By shedding light on these trends, this study enables the scientific community, including researchers and funding agencies, to make informed decisions regarding future research endeavors involving the CRITIC method.

Experimental investigation of electrochemical and mechanical properties of stainless steel 309L at different built orientation by cold metal transfer assisted wire arc additive manufacturing

In this article, a multi layered wall of stainless steel 309 L (ER309L) material was WAAM printed over a substrate, at optimized parameters using gas metal arc welding as heat input source assisted by cold metal transfer machine, aiming to evaluate mechanical and electrochemical properties at different built orientations i.e., 0°, 30°, 45°, 60°, and 90°. Wall samples were cut-out by wire cut electric discharge machine to compare their properties. Microstructural properties and phases were confirmed by Scanning Electron Microscopy, Energy-Dispersive Spectrometry (EDS) and X-ray diffractometry (XRD), as they change on melting and solidification along the building direction. Columnar dendrite and vertical ferritic grains were observed through an optical microscope. SEM images suggests the presence of Widmanstatten austenite laths forming δ/γ duplex phase. Element distribution by EDS was further verified by Schaeffler’s diagram. XRD pattern confirms various elements and their phase compositions. The tensile strength and yield strength of samples decreased with increase in orientation angle, which is attributed to decrease in the inter-layer length which restricts the slipping of grains and reestablishment of the residual forces., tableau software was used to theoretically predict values for 45° sample as it broke outside the gauge length. electrochemical properties and corrosion behaviour were studied by electrochemical impedance spectroscopy (EIS) and Potentiodynamic polarization (PDP) where in highest Rct=170 Ω and lowest corrosion rate, 0.56 mils per year (MPY) was observed for 45° is attributed to diffusion of chromium to the metal-solution interface forming a passive film. The corrosion rate range 0.48–2.7 MPY, advocates SS309L have a uniform passive film. The properties studied certifies that WAAM printed stainless steel component can be exploited for critical applications.

The Path to a Sustainable Energy Europe: An Analysis of the Transition from Fossil Fuels to Renewable Energy

The main purpose of this study is to investigate the application of predictive analytics techniques in the energy field and to identify strategies to stimulate renewable energy production. The analysis begins by examining four key indicators: renewable energy, gas price, gas consumption and renewable energy consumption through a detailed descriptive analysis. Visual graphs are built to get an overview of the evolution of the energy sector in the period 2011-2020 with the help of Tableau software. The analysis is supported by the use of the Random Forest algorithm as a prediction model, considering critical indicators such as gas price, gas consumption and renewable energy consumption. The prediction results provide insight into anticipating changes in renewable energy production in the European countries studied. At the same time, the study highlights the current situation of renewable energy in Europe and identifies the necessary measures for its sustainable development through the analysis of specialized literature. It also examines the way in which big data management, facilitated by technologies such as smart meters and drone sensors, can help improve the energy sector. This research offers valuable results, providing insights into the evolution of renewable and fossil energy, as well as a detailed comparison of renewable energy, gas prices, gas consumption and trends in renewable energy consumption. By integrating predictive analytics techniques, data management and renewable energy-specific indicators, this study makes an innovative contribution to energy systems analysis. Its focus on European countries contributes to the understanding of the growth potential of renewable energy generation in this region.

Visualization of Tourism Site Visit Levels in Karo Regency Using Tableau

Indonesia is one of the places with numerous tourist destinations and have unique attractions. One such province is North Sumatra, precisely in Karo Regency. However, to maximize the potential of tourism and achieve sustainable growth, a good understanding of tourist visitation rates to these attractions is essential. Timely, detailed, and integrated information on the number of tourist visits is crucial for formulating tourism policies, developing infrastructure, and effective resource management. The research objective is to develop a BI dashboard using Tableau software that can deliver information related to tourist visitation data in Karo Regency from 2010 to 2016 in an interactive and easily understandable manner. The study employed a secondary data analysis method by processing data collected from the Karo Regency government. The research process comprised data collection, data cleaning, Tableau implementation, and result analysis. Based on the conducted research, it can be concluded that during the period from 2010 to 2016, the tourist destinations with the highest number of visits were Lag Sibayak and Lau Debuk-Debuk, attracting a total of 1,099,738 tourists. On the other hand, Lag Sinabung, Danau Lau Kawar, and Gunung Sinabung were the tourist destinations with the lowest number of visits, with a total of only 52,282 tourists.

A bibliometric review of stakeholder theory in accounting: Current trends and future directions

In this study, a comprehensive bibliometric review of the stakeholder theory in accounting (both financial and managerial) is carried out. The bibliometric analysis provides historical information on research trends as well as research performance. This study explored the associated literature in stakeholder theory and accounting (economy, business, and management) from 1996–2022. The material was gathered from the Scopus database and analysed using VOSviewer and Tableau software. The documents that are based on previous research provide an analysis of the scientific output as well as the distribution of subject groups and journals. The authors’ chosen keywords have also been focused on identifying the most important areas of the study. The results of this research indicate that there has been an increase in the rate of yearly production across the time period that was investigated. The Journal of Business Ethics (JBE) is the most prolific journal and has published the most articles on stakeholder theory of any other publication. It is the top prolific journal. The outcome also demonstrates that the United States (U.S.) is home to a significant number of prestigious academic institutions. The U.S. tops the world in both the creation of scientific papers and the number of times those articles are mentioned in other documents. This study contributes on the awareness of using bibliometric analysis study to explore development in the scientific field. Bibliometric analysis study refers to the use of keywords to extract information for research growth in terms of the number of productions and citations. This study contributes on the awareness of using bibliometric analysis study to explore development in the scientific area.

Evaluation of Global Post-Outbreak COVID-19 Treatment Interventions: A Systematic Review and Bibliometric Analysis of Randomized Controlled Trials.

The outbreak of COVID-19 has led to a global pandemic with millions of cases and deaths. Many randomized controlled trials (RCTs) were conducted to establish effective therapies. However, the methodological quality of these trials is paramount, as it directly impacts the reliability of results. This systematic review and bibliometric analysis aim to assess the methodological approach, execution diversity, global trends, and distribution of COVID-19 treatment RCTs post-outbreak, covering the period from the second wave and onward up to the present. We utilize articles from three electronic databases published from September 1, 2020, to April 1, 2023. Inclusion and exclusion criteria were applied to identify relevant RCTs. Data extraction involved the collection of various study details. Risk of Bias (RoB) 2 tool assessed methodological quality, while implementation variability was evaluated against registration information. Bibliometric analysis, including keyword co-occurrence and country distribution, used VOSviewer and Tableau software. Initially, 501 studies were identified, but only 22 met the inclusion criteria, of which 19 had registration information. The methodological quality assessment revealed deficiencies in five main domains: randomization process (36%), deviations from intended interventions (9%), missing outcome data (4%), measurement of the outcome (18%), and selection of reported results (4%). An analysis of alignment between research protocols and registration data revealed common deviations in eight critical aspects. Bibliometric findings showcased global collaboration in COVID-19 treatment RCTs, with Iran and Brazil prominently contributing, while keyword co-occurrence analysis illuminated prominent research trends and terms in study titles and abstracts. This study offers valuable insights into the evaluation of COVID-19 treatment RCTs. The scarcity of high-quality RCTs highlights the importance of enhancing trial rigor and transparency in global health emergencies.

Visualization and Forecast for Pollution Death Threats in ASEAN

Air pollution is a serious problem experienced by all countries because it can cause many health problems and even death. The situation in countries of the Association of Southeast Asian Nations or ASEAN is the high air pollution-related mortality rates, especially in countries like Laos, Myanmar, and Cambodia, which face elevated risks due to poor air quality. Raising public awareness about air pollution requires a concerted effort involving various strategies and channels. The paper provides research findings on air pollution, including data on air pollution-related deaths, regional variations, and forecasting using Tableau software. It underscores the need to address air pollution challenges, particularly in ASEAN, to protect public health. Due to industrialization, ASEAN countries are grouped into high and low mortality clusters and ongoing air pollution challenges in Asia. Continued efforts are needed, especially in Myanmar, Cambodia, the Philippines, and Laos.

Development of a Real-Time Dashboard Characterizing Acute Leukemia Clinical Trial Enrollment Diversity at the Practice, Investigator, and Individual Clinician Level

Introduction Adult acute leukemia clinical trials in the United States under-enroll persons from historically marginalized groups. Practices, investigators, and individual clinicians have identified the lack of multidimensional, real-time enrollment data as a barrier to remediating participation inequities. We sought to overcome this by developing a visual data interface (“dashboard”) for assessing enrollment diversity across an institution in real-time. Methods Real-time dashboard data sources were the electronic health record (EPIC) and the trial registration system (OnCore); Tableau software was used for data visualization. The primary objective was to create an integrated data source that accurately assigned individuals as patients of the correct clinical group, primary oncologist, and research protocol(s). The primary endpoint was an accurate assignment algorithm, defined as an area under the receiver operator curve (AUROC) of >=0.90, as compared to manual review. Trial enrollment was assigned via OnCore and was itself the reference standard, so algorithm classification was considered accurate if individuals were assigned correctly to the clinical group and primary oncologist. The AUROC of a basic assignment algorithm was 0.78, requiring a sample size of 528 to show improvement to 0.90 or above. Interim testing was performed to assess potential improvements in logic accuracy. Exploratory objectives were to assess associations between exposures (e.g., age, race, ethnicity, sex) and outcomes (treatment trial and biobank enrollment) among a one-year cohort of patients followed by the clinical group, as determined by the final algorithm. Due to small numbers in some race and ethnicity categories, a People of Color aggregate variable was generated and included those listed as Hispanic Black, Other, Unknown, White, and Non-Hispanic Asian, Black, and Other. Associations were determined using parametric or non-parametric bivariate tests, as appropriate; multiplicity was not considered. Results Interim testing was used to revise diagnostic criteria assignment and inpatient encounter algorithms. This improved classification AUROCs to 0.80 and then 0.85, after which the physician assignment algorithm was further revised and finalized. Final testing of 528 patients seen on randomly chosen dates resulted in an AUROC of 0.98 for the assignment algorithm against manual classification. Real-time data visualizations were then developed to display multidimensional enrollment diversity data grouped by patient panels for individual clinicians (Figure 1) and by trial for primary investigators, with additional views showing trends over time and enrollment process metrics (i.e., who is consented, eligible, on study). From 6/22/2022-6/21/2023 there were 432 unique patients followed by the clinical group, of which 124 (28.7%) participated in a treatment trial and 287 (66.4%) in a biobanking study. Patient characteristics and bivariate comparisons of participation by study type are shown in Table 1. Characteristics associated with treatment trial participation included lower Social Deprivation Index score (20 vs 27, p=0.05), residing outside Massachusetts (36.2% vs 25.5%, p=0.03), and having ALL (33.8% vs 25.8%, p=0.02). Characteristics associated with biobank study participation included lower Social Deprivation Index score (21 vs 25, p=0.01) and having ALL (33.8% vs 25.8%, p=0.02). While Persons of Color participated in treatment trials (22.4% vs 29.7%) and biobanks (62.1% vs 66.7%) numerically less than NHW, but differences were not significant (p>0.05). Conclusions An enrollment diversity dashboard can accurately provide real-time data on acute leukemia clinical research participation at a large referral center. In this cohort, enrollment rates were relatively high and associated with socioeconomic status, place of residence, and disease type but not race-ethnicity. The dashboard is now being revised to incorporate trial eligibility metrics and will be piloted as performance feedback for practices, investigators, and individual clinicians.

FRI191 Changes In The Incidence And Geographical Distribution Of Adrenocortical Carcinoma: A Retrospective Analysis Of A State Cancer Registry

Abstract Disclosure: V.B. Brondani: None. A.M. Griffin: None. T.J. Owen: None. K.W. Merriman: None. J.M. Varghese: None. C. Jimenez: None. S.G. Waguespack: None. P.H. Graham: None. M.T. Campbell: None. M.M. Hassan: None. M.A. Habra: None. Background: Adrenocortical carcinoma (ACC) is a rare malignancy with an annual incidence of 0.102 cases per 100,000 persons per year in the United States. At our tertiary cancer center, we have observed increasing numbers of cases, but to date there has been no study exploring ACC incidence at a populational level to validate our observations. Furthermore, the possibility of geographic ACC clusters has not been studied. Our objectives were to evaluate the incidence and geographical distribution of ACC cases in Texas. Methods: Cases of ACC between 2000 and 2018 were retrospectively identified from the Texas Cancer Registry (TCR). Cases were registered in 110 of Texas' 254 counties (43.3%), representing 92.74% of the total population of Texas. SEER Stat software was used to pool demographic and clinical characteristics and calculate incidence rates. Kaplan-Meier overall survival curve and Pearson's correlations were calculated using SPSS. P values < .05 were considered significant. ACC county-level heatmaps were created with Tableau software to identify clusters. Breast, prostate, lung cancer incidences and their geographic distribution were compared to ACC data. Results: TCR registered 448 cases of ACC in the study period, with a median of 23 new cases/year (range 14-33). Thirty-three (7.4%) patients were aged 19 years or younger (15 were under 5 years), 293 (65.4%) patients were between 20 and 64 years, and 122 (27.23%) were 65 years or older. The majority were female (270 cases [60.3%]), and White (393 [87.7%]). One hundred (22.3%) patients were Hispanic. In 155 evaluable cases, the proportions of patients with stage I, II, III, and IV disease at diagnosis were 7.7%, 27.7%, 16.1%, and 48.4%, respectively. The median overall survival was two years (range, 0-19 years). The mean adjusted population ACC incidence rate was 0.104 per 100,000 per year (std = 0.005; 95% CI, 0.092-0.116). Seven counties (6.3%) accounted for 215 (48.0%) cases, with more than 10 cases each (median, 34 cases per county; range, 11-66) and a median standardized incidence ratio (SIR) of 0.1 (range, 0.0-0.9). One hundred three counties (93.7%) accounted for the remaining 233 cases (52%), with fewer than 10 cases per county (median, 1 case; range, 1-9 cases). The highest SIRs (corresponding to >10, range, 11.2-30.8) were found in counties with a median population of fewer than 14,000 and with only one reported case. We could not detect any geographic clustering of ACC. Counties with a high frequency of breast, prostate, lung cancer cases also had more cases of ACC (Pearson correlation .982, .981, and .982, respectively; P < .01 for all tests). Conclusion: The incidence of ACC in Texas remained relatively stable through the years and consistent with the US annual incidence. We did not observe any obvious ACC cluster, and SIRs may not be useful for analyzing this rare disease. Presentation: Friday, June 16, 2023

How has the conceptualisation of student agency in higher education evolved? Mapping the literature from 2000-2022

ABSTRACT The objective of this article is to analyse the development and content of research in the global literature on student agency in higher education (SAHE) based on a bibliometric review of 224 articles published in the Scopus database during the period 2000–2022. VOSviewer, Excel, and Tableau software were used to analyse the texts. The review documented the growth trajectory and geographic distribution of the literature and identified the intellectual structure of SAHE. The findings show that the SAHE knowledge base has grown dramatically since 2017, particularly in the United States, Australia, and the United Kingdom. Five schools of thought emerged from the literature as the main pillars of agency, or individuals’ capacities to take actions to improve their lives (1): the socio-cultural approach of agency (2); the social cognitive framework of agency (3); feedback, assessment, and agency (4); students’ motivation and engagement; and (5) learning analytics, online education, and agency. The results show that student agency is framed within a constructivist and sociocultural learning perspective. Findings also demonstrate that agency has significant effects on personalising and increasing the dynamism and potential of academic experiences if students take an active role in managing their own learning.

Data Visualization for Collection Analysis

Due to the increasingly digital nature of library resources and collections, it is sometimes difficult to envision a library’s unified holdings and to understand how they have changed over time. Conducting a collection analysis and applying data visualization techniques can be an excellent way to get a top-down view of the collection as a whole. This article outlines the author’s process for a collection analysis of the Weinberg Memorial Library’s entire catalog of print and electronic resources. It explores the rationale behind some key collection analysis decisions and discusses approaches for data extraction and clean-up as well as visualization using the Tableau software.

VISUALISATION OF URBAN SPRAWL WITHIN THE CITY USING TABLEAU

The urban sprawl still happening today is causing an imbalance in development between urban and rural areas. Issues such as non-optimal land use, land use development dispersal, land use conversion to municipal use, and reducing forest and agricultural areas need help in effective governance and enforcement. Furthermore, the condition of the village-in-the-city is increasingly threatened due to the urban sprawl. Currently, the existing visualisations are limited to only categorising the city and village boundaries. It cannot show the boundaries of a village-in-the-city area. The vague boundary categorisation caused by the village boundary area in the city cannot be determined clearly when the existing data provide only the city boundary and the village boundary. This study introduced a structured visualisation of village boundaries in the city using TABLEAU to assist agencies in making decisions in formulating development plans, especially for rural areas in the city. Focus Group Discussions (FGD) among the stakeholders are then used to evaluate the effectiveness of the developed visualisation. The visualisation will be based on dashboard development using Tableau software, including statistical information and urban, rural and village-in-the-city boundary information. The existing raw data in shapefiles, excel, and comma-separated values (CSV) formats are processed and integrated before the dashboard can be developed. This paper presented a pilot study for only two states: Negeri Sembilan and Melaka. The results of this study have been able to prove the existence of village-in-the-city visually, which previously could not be confirmed in the form of graphic maps. In addition, the results from the FGD can be concluded that the developed visualisations are promising and could provide the necessary information. Besides helping the agency management make better and more accurate decisions, this study will also benefit the public living within the city's village boundary area. On the other hand, from a scientific point of view, this study can be further explored to visualise the urban sprawl and apply predictive analysis to determine the needs of educational and health facilities in the area.

The evolution of eco-innovation and its impact on the political, social, and environmental spheres in the period 1996-2022: state of the art and bibliometric study

Eco-innovation has emerged in support of sustainable development, in collaboration with the Sustainable Development Goals, in such a way that governments and institutions have integrated it as a strategic part. This work aims to show eco-innovations state of the art through a bibliometric analysis, identifying its progress in the business, political, social, and environmental fields through a cross-sectional visualization of the literature from 1996-2022. Documents were extracted from the Web of Science and Scopus databases, totaling 3939; These were filtered and analyzed in Tableau, Sci-Mat and VOSviewer software. The results indicate that it has been a growing topic since the year 2000, identifying principal authors, countries, and journals and their relationship in the business, social, political, and environmental fields, as well as its influence on emerging research topics such as circular economy, environmental economy, life cycle, eco-efficiency, energy efficiency, environmental management, among others.

Mapping the knowledge base and theoretical evolution of workplace conflict outcomes: a bibliometric and qualitative review, 1972–2022

Purpose This study aims to understand workplace conflict outcomes (WCO) literature and identify the research gaps by mapping its knowledge base and theoretical evolution. Design/methodology/approach This study combines bibliometric and qualitative analysis and encompasses 1,043 Scopus-indexed documents published between 1972 and 2022. The bibliometric analysis used VOSviewer, Excel and Tableau software for descriptive statistics, citation and co-citation analyses of publication patterns, authors, documents and journals. The qualitative analysis critiqued main theoretical perspectives and topical interests. Findings This study revealed a significant increase in literature after 2000, with authors representing 70 societies, primarily the USA, China, Australia, Canada and the Netherlands. Influential authors and their canonical articles were identified, including Jehn, De Dreu, Spector, Amason and Pelled. Highly cited articles focused on task, relationship, role and process conflict. Four main theoretical schools were categorized: conflict type paradigm, individual differences, conflict cooccurrence and conflict dynamics. Influential journals spanned psychology, management, negotiation and decision-making and business and marketing fields, including JAP, AMJ, ASQ, JM, JOB, AMR, IJCMA and OS. Research limitations/implications This study provides implications for future bibliometric analyses, theoretical and empirical studies, practitioners and society based on its quantitative and qualitative findings. Originality/value To the best of the authors’ knowledge, this study represents the first bibliometric review of WCO literature, serving as a baseline for tracking the field’s evolution and theoretical advancements.

ROAD CRASH DATA VISUALISATION AND ANALYTICS USING TABLEAU FOR MOUNTAINOUS ROADWAY AREAS IN CAMERON HIGHLANDS, MALAYSIA

Despite government efforts and enforcement, alarming statistics in road crashes with high fatality rates in mountainous roadways are a significant concern to the authorities and community. This research has aimed to produce road crash profiling of Cameron Highlands based on secondary data using Tableau software. Results show that 66 cases involving motorcycles less than 251cc are the most dominant type of vehicle involved in road crashes, followed by tour or excursion vehicles, lorry trailers, four-wheel drive, and cars. The most frequent crash locations in Cameron Highlands are at the boundary of Jalan Keramat Pulai (45 cases) and Jalan Ringlet – Kg. Raja – Blue Valley (50 cases). These cases involved hitting pedestrians, sideswipe collisions, forced collisions, hitting the roadside animal, head-on collisions, vehicles out of control, and right-angle side, which lead to fatal injuries. These findings may assist in identifying intervention planning to control and manage road crashes in mountainous areas.

PERCEIVED ILLNESS INTRUSION AND FACTORS ASSOCIATED WITH PATIENTS ONHEMODIALYSIS IN ATERTIARY CARE HOSPITAL

Background/Purpose: Dialysis is a medical procedure that is very nerve-wracking as it interferes with the day-to-day activities of the patients suffering from kidney disease. Our study is aimed at finding the association between illness intrusion among patients on dialysis, the effect of duration of dialysis, and patient demographics. Materials/Methods: A cross-sectional study was conducted on 60 Chronic Kidney Disease patients who were on maintenance hemodialysis in RajaRajeswari Medical College and Hospital, tertiary care center in Bangalore, Karnataka for a period of two months. The patients were interviewed using a pre-tested and semi-structured interview schedule. Data was entered and analysed using Tableau software. The results were visualized in percentages and proportions. Results: Out of 60 patients, 42 patients were males and 95% of total patients were married. 61.7% were from urban areas and the majority (81.7%) of the patients funded their dialysis through their own/family income and 75% reported an intrusion in the area of work. Conclusion: A high percentage of people were from urban areas and very few from rural areas. Therefore, setting up Nephrology units in government hospitals would reduce the economic burden on the patient. Categories: Nephrology, Epidemiology/Public Health.

Telehealth Utilization in Oral Medicine and Oral and Maxillofacial Surgery.

Objectives: The objectives of this retrospective study were to analyze telehealth utilization for two specialty care practices: oral medicine (OM) and oral and maxillofacial surgery (OMFS) during the first 2 years of the pandemic, its impact as a new treatment modality and on participating providers, as well as identify the type of patient visit that most readily adopted telehealth. Methods: Retrospective study of patients who sought specialty services, OM and OMFS, at an outpatient clinic in a university health system setting between March 1, 2019, and February 28, 2022. Source data were obtained from Epic, an electronic medical record application. Data were graphed using Tableau and Microsoft Excel software. Statistical analysis was performed utilizing chi-squared test and analysis of variance (ANOVA). Results: OMFS utilized telehealth 12% of the time, and OM 8% of the time. The majority (87%) of telehealth visits were for return patients (RPs). Compared with the first year of the pandemic, there was a decrease in the number of telehealth visits in the second year (p = 0.0001). As of August 2022, new patient (NP) telehealth encounters have largely returned to prepandemic levels (0-1.5%), whereas RP telehealth visits remained at an average level of 11.4% (9.4-12.4%). Surveyed providers consider telehealth as an effective complement to in-person care and will continue its use (4.2/5 Likert scale). Conclusions: Telehealth has become a viable pathway of care for OM and OMFS who previously did not utilize the remote platform to deliver healthcare. As a new treatment modality, telehealth is perceived as impactful in increasing access to specialty care by participating providers. NP visits are now almost completely in person, but telehealth continues for RPs. Ongoing demand for telehealth highlights urgency to develop appropriate standards and effective remote diagnostic/monitoring tools to maximize telehealth's capability to leverage finite health care resources and increase access to specialty care.

New Sustainability Perspectives on Pollutant Releases from Canada's Nuclear Sector.

This novel characterization of new Canadian radionuclide release data aims to both deepen the understanding of the nature and magnitude of present-day emissions from nuclear facilities and accelerate the tracking of this sector's progress toward United Nations Sustainable Development Goal (SDG) 12 (responsible consumption and use patterns) and target 12.4 (environmentally sound chemicals management). Further novel perspectives on the role of this data as an indicator of sustainability are discussed by merging it with other pollutant releases from this sector, as reported to the National Pollutant Release Inventory (NPRI), to fill gaps in the latter's substance coverage. These public data sets are processed and analyzed using Tableau software and the Organization for Economic Cooperation and Development's framework for using pollutant release and transfer (PRTR) data in sustainability analysis. Findings confirm that radionuclide emissions to air and direct discharges to water from present-day Canadian nuclear facilities do not contribute significantly to national-scale radionuclide contamination. Moreover, findings validate the usefulness of combining various PRTR (and similar) data to address substance coverage gaps and set a global precedent for strengthening PRTR indicator power in SDG 12 evaluation. This work underscores the value of interoperable data in accelerating knowledge translation of PRTRs in the lens of sustainable development.

Social attention to the scientific publications on mHealth research during Covid-19 outbreak: An altmetric study

Objective. This study aimed to assess the social attention received by the top 100 highly cited scientific publications focusing on mHealth (mobile health) research during the COVID-19 outbreak.
 Design/Methodology/Approach. This study employed altmetric tools to assess the social attention received by mHealth research publications. The study collected bibliographical data of the top 100 highly cited articles published between 2019 and 2022 from the Scopus database. Altmetric data was collected from the Dimensions.ai database and analyzed using MS Excel, Tableau, and SPSS software.
 Results/Discussion. The study found that mHealth research has received significant social attention from various social media, mass media and reference manager platforms. However, it needs to be dissemination and promotion to reach wider audiences. Twitter was the leading channel for disseminating research highlights on mHealth, and articles have a significant number of readers on the Mendeley platform. However, correlation analysis revealed a weak positive correlation between citation and AAS of mHealth research publications.
 Conclusions. The study contributes to understanding the societal impact of mHealth research during the COVID-19 outbreak and emphasizes the role of Altmetric tools in assessing social attention in scientific publications. The study concludes by suggesting future research directions in the field.

Development of interactive dashboards for monitoring endemic animal pathogens in Ontario, Canada: Ontario interactive animal pathogen dashboards.

The advancement of web-based technologies makes it possible to build user interfaces or web pages that present and summarize complex data in easy-to-read graphical formats that emphasize key information. Taking advantage of this technologic progress, we addressed the need for real-time visualizations of trends for major pathogens in the largest livestock industries in Ontario: poultry, swine, and cattle. These visualizations were built using test data from the laboratory information management system of the Animal Health Laboratory at the University of Guelph, a large veterinary diagnostic laboratory in Ontario. The data were processed using R software and used to construct interactive and dynamic visualizations using Tableau Desktop v.2021.4 (Tableau Software). We designed 12 dashboards: in chickens-influenza A virus, fowl adenovirus, infectious bronchitis virus, and infectious laryngotracheitis virus; in turkeys-influenza A virus; in swine, influenza A virus, rotavirus, and porcine reproductive and respiratory syndrome virus; in cattle-bovine viral diarrhea virus, Mycoplasma bovis, Salmonella Dublin in individual samples, and Salmonella Dublin in bulk tank milk samples. Data for each pathogen are presented in 2 dashboards. One shows the data of the last 10 y (general view) and the other the data of the last 3 y, but in more detail (comprehensive view). Information on gaining access to all dashboards is available at https://iapd.lsd.uoguelph.ca/. The visualizations provide near-real-time access to aggregated assay results for selected pathogens for veterinarians, animal health regulatory agencies, researchers, and other users who are interested in livestock pathogen surveillance.