Collaborative Research Network Research Articles

State of the art, trends, hotspots, and prospects of injection materials for controlling bleeding.

Traumatic haemorrhage is a prevalent clinical condition, and effective and timely haemostasis is crucial for the preservation of patients' lives. In recent years, injectable hemostatic materials have gained significant attention due to their excellent hemostatic efficacy, biocompatibility, and biodegradability, making them widely applied in the treatment of incompressible traumatic haemorrhage. Systematic analysis of injectable hemostatic materials is crucial for research in this area. This article provides a comprehensive review of the development and research trends of injectable hemostatic materials over the past 20 years using visualization techniques. Analysis of collaboration and co-citation networks revealed localized research collaboration networks, highlighting the need for enhanced international collaboration in the field of injectable hemostatic materials. Current research focuses primarily on hemostatic materials, hemostatic processes, and hemostatic mechanisms. Injectable hemostatic materials with excellent performance offer promising strategies for wound healing. This review provides a comprehensive and systematic summary of injectable hemostatic materials, offering valuable guidance for the development and clinical application of novel injectable hemostatic materials. Additionally, visualized methodology and mapping analysis are effective data mining methods that provide approaches and strategies for clear knowledge network analysis. These methods facilitate better understanding and interpretation of research dynamics in the field of injectable hemostatic materials, thereby guiding and inspiring future research.

Influencer Marketing Unveiled: Navigating the Dynamics of Social Media Impact, and a Comprehensive Bibliometric Analysis

This article explores the intricate landscape of influencer marketing within the realm of social media, with a specific focus on the evolving role of influencers, and their significant impact on consumer behavior. The study employs a rigorous bibliometric analysis, utilizing the Dimensions Digital Science database, to uncover key research trends, influential works, and collaborative networks in the influencer marketing domain. The methodology ensures transparency and reproducibility in data collection, leading to a carefully curated dataset. The literature review sheds light on the complexities of influencer-brand collaborations, emphasizing the need for authenticity. Through real-world examples, the article highlights the potential pitfalls in influencer marketing and the importance of congruence between influencers and brands for successful outcomes. The findings contribute to a collective understanding of influencer marketing, providing valuable insights for marketers, scholars, and industry professionals.

In this Issue

It’s with pleasure that the New Zealand Association of Scientists presents this issue of the New Zealand Science Review in collaboration with the Riddet Institute. The articles arising from the Agri-Food Summit meeting in April this year give insight into the research and educational resources necessary for a successful and sustainable agri-food sector in New Zealand. As mentioned in our guest editorial, the Summit speakers were selected to bring somewhat disparate views together on the topic under discussion. The result graphically illustrates the tranformational changes necessary to fully exploit New Zealand’s potential in agri-foods and the importance of growing our collaborative research and educational networks internationally

Global trends and future directions in online learning for medical students during and after the COVID-19 pandemic: A bibliometric and visualization analysis.

This study explores the evolution of online learning research in the context of medical education during and following the COVID-19 pandemic. It aims to understand the principal focus areas, and trends that have emerged in this rapidly evolving landscape. A total of 2751 publications related to online learning were retrieved from the Web of Science Core Collection (WoSCC) from 2020 to 2022. Bibliometric analysis and visualization techniques were employed to comprehensively examine the landscape of online learning research. Publications, co-cited references, and keyword co-occurrence were analyzed to identify patterns and trends in research focus and collaboration networks. The significant surge in research output reveals the academic community's response to the pandemic. Various themes have emerged in online learning research, encompassing online teaching, flipped classrooms, mental health, and blended learning. The evolution trajectory of research has traversed 3 stages, reflecting a shift in research focus from immediate pandemic responses to more refined strategies and interdisciplinary perspectives. Keyword co-occurrence analysis was also conducted to show the effects of the COVID-19 pandemic on the research. The study underscores the global scholarly engagement, collaborative networks, and principal themes that have shaped the field. As medical education adapts to the shifting landscape, the trajectory of online learning research points toward increased learner autonomy, integration of advanced technologies, and interdisciplinary collaboration. This transformative shift promises to reshape medical education, equipping learners and educators with the tools needed to navigate the dynamic realm of modern healthcare education.

Promoting research for the fragile Somali health system –

A 3-day conference was held in Garowe from the 30th of January to the 1st of February 2022 under the leadership of the Somali National Institute of Health to strengthen the foundation of health research in the country by promoting strategies for health research capacity building, sharing available evidence for action, and widening research collaborative networks. The conference was also instrumental in concretizing plans for improving the existing Somali Universities’ health research performance. It was jointly organized and supported by the National Institute of Health, the Federal Ministry of Health and Human Services, the Public Health Agency of Sweden, the Somali Swedish Researchers’ Association, and a consortium of Somali and Swedish universities. The Puntland State Ministry of Health hosted the conference. This paper summarizes topics presented at the conference and identifies gaps and opportunities for research capacity strengthening in Somalia, which would generate evidence to inform public health policies. An Organizing Committee for the management and logistics of the conference and a Scientific Committee were established, the latter providing expertise in selecting key research topics and speakers/delegates for the conference. More than 180 participants from academic institutions and the health sector service delivery network attended the conference. Twelve panel presentations and 51 abstracts were delivered, covering health system research priorities. Of the 51 presented abstracts, 35% were on communicable diseases, 26% on reproductive maternal, newborn, child, and adolescent health, 24% were on the health system, and 16% on non-communicable diseases. The conference also highlighted the need to build research capacity to support researchers and institutions to strengthen their research skills, including research methodology, data analysis, interpretation, and scientific writing. Highly relevant findings were presented that had the potential to inform health policy and scale up the community-based health services towards Universal Health Coverage and Sustainable Development Goals.

Computation of structural parameters of a collaboration graph from social networks

Mathematicians and Sociologists are analyzing a social network from the perspective of both quality and quantity. To identify a network structure, it is pertinent to know not only every individual in the network, but also his/her role. In such networks, we fix one individual and probe all his contacts with reference to a specific relation. Here, we take up for our investigation, one such social network called Rolf Nevanlinna Prize Winners academic research collaboration network.Follow the procedure given in Appendix-1 to peruse the data available in Mathematical Reviews-MR of American Mathematical Society-AMS website and find the Erdos Numbers-ENs of Rolf Nevanlinna Prize Winners-RNPWs and their links to Erdos through various levels as per their Erdos Numbers to generate the RNPWs Collaboration Graph-RNPWCG. (Erdos is at Level 0; Direct co-authors of Erdos are at Level 1; Co-authors to the direct co-authors of Erdos are at Level 2 and so on). Investigate balanced graphs and devise procedures for obtaining various structural parameters like, tuner sets, positive influence dominating sets, obtain general results concerning 2-dominating sets for any graph G, computation of various domination numbers of RNPWCG.We have (a) derived bounds for parameters such as top, gap for balanced and non-balanced sets, (b) exact values of domination parameters given above and (c) the Tuner sets for the Rolf Nevanlinna Prize Winners collaboration graph for the period 1982–2006 for illustrative purposes. Further, in addition to recording the motivational factors for this work we also list a number of open problems for further study.We are able to determine the role, position and contribution of every individual in the social interaction academic research collaboration network of mathematicians related to the Rolf Nevanlinna Prize winners.

Leveraging collaborative research networks against antimicrobial resistance in Asia.

Antimicrobial resistance (AMR) is a global health security threat requiring research collaboration globally and regionally. Despite repeated calls for international research collaboration in Asia, literature analyzing the nature of collaborative AMR research in Asia has been sparse. This study aims to describe the characteristics of the AMR research network in Asia and investigate the factors influencing collaborative tie formation between organizations. We carried out a mixed-methods study by combining social network analysis (SNA) and in-depth interviews. SNA was first conducted on primary data to describe the characteristics of the AMR research network in Asia. Exponential random graph models (ERGMs) were then used to examine the influence of factors such as organization type, country affluence levels, regional proximity and One Health research on collaborative tie formation among organizations. In-depth interviews were conducted with network participants to provide contextual insights to the quantitative data. The results reveal that the research network exhibits a core-periphery structure, where a minority of organizations have a significantly higher number of collaborations with others. The most influential organizations in the network are academic institutions from high-income countries within and outside Asia. The ERGM results demonstrate that organizations prefer to collaborate with others of similar organization types, country-based affluence levels and One Health domains of focus, but also with others across different World Health Organization regions. The qualitative analysis identified three main themes: the challenges that impede collaboration, the central role of academic institutions, and the nature of collaborations across One Health domains, giving rise to important empirical milestones in understanding AMR research in Asia. We thus recommend leveraging academic institutions as "integrators" to bridge differences, increasing funds channelled towards research capacity building to alleviate structural barriers to collaboration, streamlining collaborative mechanisms to overcome cumbersome administrative hurdles, and increasing efforts to establish trust between all organizations.

Application of medical imaging in ovarian cancer: a bibliometric analysis from 2000 to 2022.

Ovarian cancer (OC) is the most lethal tumor within the female reproductive system. Medical imaging plays a significant role in diagnosis and monitoring OC. This study aims to use bibliometric analysis to explore the current research hotspots and collaborative networks in the application of medical imaging in OC from 2000 to 2022. A systematica search for medical imaging in OC was conducted on the Web of Science Core Collection on August 9, 2023. All reviews and articles published from January 2000 to December 2022 were downloaded, and an analysis of countries, institutions, journals, keywords, and collaborative networks was perfomed using CiteSpace and VOSviewer. A total of 5,958 publications were obtained, demonstrating a clear upward trend in annual publications over the study peroid. The USA led in productivity with 1,373 publications, and Harvard University emerged as the most prominent institution with 202 publications. Timmerman D was the most prolific contributor with 100 publications, and Gynecological Oncology led in the number of publications with 296. The top three keywords were "ovarian cancer" (1,256), "ultrasound" (725), and "diagnosis" (712). In addition, "pelvic masses" had the highest burst strength (25.5), followed by "magnetic resonance imaging (MRI)" (21.47). Recent emergent keywords such as "apoptosis", "nanoparticles", "features", "accuracy", and "human epididymal protein 4 (HE 4)" reflect research trends in this field and may become research hotspots in the future. This study provides a comprehensive summary of the key contributions of OC imaging to field's development over the past 23 years. Presently, primary areas of OC imaging research include MRI, targeted therapy of OC, novel biomarker (HE 4), and artificial intelligence. These areas are expected to influence future research endeavors in this field.

Comprehensive and Visualized Analysis of Interventional Clinical Trials of Spinal Cord Injury in the Past Two Decades: A Bibliometric Study

ObjectiveTo provide a bibliometric analysis of published articles of interventional SCI clinical trials and present the current status, global trends, and scholars’ knowledge in this field. MethodsData were obtained from the PubMed and Web of Science (WOS) Core Collection. A literature screening process was conducted to select articles of interventional SCI clinical trials. Qualitative and quantitative analysis was performed based on information from the WOS database. Co-occurrence analysis of keywords, collaboration analysis, and co-citation analysis were performed using VOSviewer. ResultsA total of 849 articles were selected for analysis. Therapeutic strategies in the articles were classified into ten subgroups. Locomotor training, local complication related treatments, and neuromodulation are the top three subgroups. Spinal Cord was the most productive and most frequently cited journal in SCI clinical trials. The most productive country, institution, and author are the United States of America, the University of Miami, and Harvey LA, respectively. The collaboration network analysis shows that researchers and institutions from the United States, Canada, the United Kingdom, and Australia were the pivotal driving forces in this field. Spinal cord injury, rehabilitation, individuals, electrical stimulation, and exercise are the top 5 most frequent keywords. The co-citation analysis shows that the most frequently cited references are all international standards and guidelines of SCI clinical trials. ConclusionsThere is a broad research collaboration network although it is distributed unevenly worldwide. International standards and guidelines are needed to conduct high quality clinical trials in the future.

Sex differences in the effectiveness of first-line tumour necrosis factor inhibitors in axial spondyloarthritis: results from the EuroSpA Research Collaboration Network

ObjectiveEvidence indicates reduced treatment effectiveness of TNFi in women with axial spondyloarthritis (axSpA) compared with men. We aimed to investigate sex differences in treatment response and retention rates over 24...

COVID mRNA Vaccination Responses in Individuals with Sickle Cell Disease: An ASH Research Collaborative Clinical Trial Network Study

A multi-state, long term follow-up study of individuals with sickle cell disease (SCD) demonstrated an increase in mortality and morbidity in children and adults with COVID. mRNA vaccines are recommended for all SCD patients. Vaccination in individuals with SCD for other infections may be associated with impaired antibody responses. Concern has also been raised about whether mRNA vaccines, through a unique mechanism, may induce disease-related-complications in patients with SCD resulting in a suboptimal immunization rate. The ASH Research Collaborative Clinical Trial Network (ASH RC CTN) performed a mRNA vaccine trial to assess whether antibody responses following COVID vaccination were adequate to induce immunity and whether mRNA vaccination precipitated any toxicity unique to SCD patients. We prospectively studied patients at 8 of the ASH RC CTN sites: Johns Hopkins, Prisma, Duke, UT Southwestern, Medical College of Wisconsin, UCSF, Children's National, and Montefiore. Eligible patients with SCD had not yet received the COVID vaccine. We enrolled 59 patients and 47 received at least one vaccination. All vaccinated patients received the monovalent Pfizer vaccine. Forty-two patients received two vaccinations and provided baseline blood samples prior to vaccination and 2 months after the initial vaccination. For this report, data for 41 paired samples were available for analysis of IgG reactivity against the receptor binding domain (RBD) of the SARS-CoV-2 spike protein. Samples were taken from 7 patients (17%) under 3 years of age, 17 (41%) from older children (3-17 years of age), and 17 (41%) from adults (18-53 years of age). The majority of patients had HbSS (73%) or HbSC (22%), and one of each had either HbS beta 0 (2%) or HbS beta+ (2%). Concurrent therapies included hydroxyurea (59%), voxelotor (17%), crizulizumab (2%), intravenous immunoglobulin (2%), and chronic transfusions (2%). Five had a history of splenectomy (12%). Seventy-five percent of patients received their initial vaccination within 10 days of the baseline visit, and the median time between initial vaccination and post vaccination blood draw was 62 days. One patient experienced a COVID infection 5 days after the baseline visit, but prior to vaccination. This individual later received two vaccinations and submitted blood samples for analysis. Post-vaccination fever/chills, arthralgias, emesis, or local vaccination pain/erythema were reported in 49% of the patients. None reported fever that required inpatient admission. Seven patients (17%) reported a total of 8 episodes of vaso-occlusive pain within 14 days of the 1st vaccination. Of these, three required evaluation and treatment at a medical facility, and one patient was admitted for inpatient care. Antibody responses are shown in the Figure. Fourteen patients (34%) were seronegative at baseline, all with IgG ≤ 0.48 arbitrary units (AU). Twenty-seven patients (66%) were seropositive at baseline with a median IgG = 4.59 AU. Post-vaccination demonstrated a median IgG = 32.2 AU for the initially seronegative patients, and IgG = 102 AU for those initially seropositive. All initially seronegative patients converted to seropositive post vaccination; although post-vaccination IgG levels were lower than in the patients who were initially seropositive (Wilcoxon rank sum test, p-value = 0.0062). Overall, patients with sickle cell disease had side effects similar to those in the general population, and patients with SCD also responded to the COVID mRNA vaccination as expected after 2 months. The 6-month titers will be analyzed in the early fall. To our knowledge, this is the largest mRNA vaccine efficacy and safety trial in individuals with SCD, and it also marks the first evaluation of vaccine safety and antibody response in very young children with SCD.

An overview of maritime psychology through bibliometric analysis: Present state and future prospects

This study conducts a comprehensive bibliometric analysis of the reflection in the academic literature on psychological problems such as stress, depression, fatigue, burnout, and hopelessness, which more than 1 million seafarers suffer from due to the unique challenges of maritime such as isolation, demanding work schedules, harsh conditions, and separation from loved ones. The bibliographic data is collected from both the Web of Science and Scopus databases, subsequently, a total of 318 determined studies were analyzed using Bibliometrix tool of R software, and Excel-based systematic content analysis. Through citation analysis metrics, we identify the most influential publications, journals, authors, and institutions in this domain. Utilizing bibliographic coupling methodology, we uncover four fundamental research clusters: Research Design, Spatial Design, Data Collection Tools, and Assessment Approaches. Furthermore, we present research collaboration networks at the levels of institutions, authors, and countries to illuminate prevailing trends in maritime psychology. This comprehensive bibliometric analysis offers a nuanced understanding of maritime psychology, revealing evolving trends, research methodologies, and critical thematic clusters. It underscores the growing significance of seafarers' mental health in academic research and the need for holistic interventions in the maritime industry.

Organizational factors affecting higher education collaboration networks: evidence from Europe

We explore the role of organizational factors in research collaboration networks among European universities. The study of organizational drivers in shaping collaboration patterns is crucial for policy design aimed at reducing research fragmentation and fostering knowledge creation and diffusion. By using Exponential Random Graph Models (ERGMs) and controlling for spatial factors, we investigate the role of two main mechanisms guiding the partners’ selection process: organizational attributes and homophily. We investigate two distinct scientific collaboration networks (i.e., projects and publications) and two research domains (Physical Sciences and Engineering, and Life Sciences) over the 2011–2016 time period. Our empirical evidence reveals that, among the main dimensions indicated by the literature, research capability (measured by the dimension of doctoral programs) has the clearest and most stable impact either on the tendency to establish collaboration ties or as homophily effect. In terms of policy implications, it emerges that organizational similarity in research capability matters and policy makers should consider doctoral programs as a strategic variable to promote successful collaborations in scientific research.

Commonalities and differences in set-up and data collection across European spondyloarthritis registries — results from the EuroSpA collaboration

BackgroundIn European axial spondyloarthritis (axSpA) and psoriatic arthritis (PsA) clinical registries, we aimed to investigate commonalities and differences in (1) set-up, clinical data collection; (2) data availability and completeness; and (3) wording, recall period, and scale used for selected patient-reported outcome measures (PROMs).MethodsData was obtained as part of the EuroSpA Research Collaboration Network and consisted of (1) an online survey and follow-up interview, (2) upload of real-world data, and (3) selected PROMs included in the online survey.ResultsFifteen registries participated, contributing 33,948 patients (axSpA: 21,330 (63%), PsA: 12,618 (37%)). The reported coverage of eligible patients ranged from 0.5 to 100%. Information on age, sex, biological/targeted synthetic disease-modifying anti-rheumatic drug treatment, disease duration, and C-reactive protein was available in all registries with data completeness between 85% and 100%. All PROMs (Bath Ankylosing Spondylitis Disease Activity and Functional Indices, Health Assessment Questionnaire, and patient global, pain and fatigue assessments) were more complete after 2015 (68–86%) compared to prior (50–79%). Patient global, pain and fatigue assessments showed heterogeneity between registries in terms of wording, recall periods, and scale.ConclusionImportant heterogeneity in registry design and data collection across fifteen European axSpA and PsA registries was observed. Several core measures were widely available, and an increase in data completeness of PROMs in recent years was identified. This study might serve as a basis for examining how differences in data collection across registries may impact the results of collaborative research in the future.

Research Status and Trends in Retirement Communities: A bibliometric Analysis

In the context of global aging, the study of retirement communities has attracted the attention of scholars. However, there needs to be more systematic bibliometric studies. This study aims to sort out the current research status of the retirement community and explore research trends. This study adopts a bibliometric approach, using the Web of Science Core Collection (WoSCC) as a database, VOSviewer to analyze research collaboration networks, and CiteSpace to analyze keyword co-occurrences. The study’s conclusion showed that the significant scholars are Ayalon, Resnick, Bennett, Royall, Courtin, and Knapp. The major journals are the Journal of the American Geriatrics Society, Gerontologist, and Journal of Applied Gerontology.The main research areas are Geriatrics Gerontology, Public Environmental Occupational Health, and Nursing. The primary research countries are the United States, Canada, and China, with the United States leading the way. The study found that the author’s research collaboration network was more active, with Bolling as the bridge author. Institutional collaboration networks were also active, with the University of Washington’s research collaboration network being the most prominent. The research collaboration networks between countries (regions) needed to be more expensive. There are three possible research trends in retirement community research: (1). naturally occurring retirement community (NORC); (2). aging in place; (3). continuing care retirement community (CCRC); (4). physical activity.

Mortality risks associated with floods in 761 communities worldwide: time series study

ObjectiveTo evaluate lag-response associations and effect modifications of exposure to floods with risks of all cause, cardiovascular, and respiratory mortality on a global scale.DesignTime series study.Setting761 communities in 35 countries...

Placental Lesions Associated With Stillbirth by Gestational Age, as Related to Cause of Death: Follow-Up Results From the Stillbirth Collaborative Research Network.

We previously identified placental lesions associated with stillbirths of varying gestational ages (GA) using advanced feature analysis. We further investigated the relationships between placental lesions and cause of death in stillbirths within these GA ranges. Using data from the Stillbirth Collaborative Research Network, we derived a sample of stillbirths who underwent placental examination and Initial Causes of Fetal Death (INCODE) evaluation for determining cause of death. We then compared the rates of causes of death within and among GA ranges (extreme preterm stillbirth [PTSB] [<28 weeks], early PTSB [28-336/7 weeks], late PTSB [34-366/7 weeks], term stillbirth [≥37 weeks]) according to the presence of these lesions. We evaluated 352 stillbirths. In extreme PTSB, obstetric complications and infections were associated with acute funisitis. In early PTSB, uteroplacental insufficiency was associated with parenchymal infarcts. In term stillbirth (vs early PTSB), increased syncytial knots were associated with umbilical cord causes and infection. Placental lesions of high importance in distinguishing stillbirths at different GAs are associated with specific causes of death. This information is important in relating the presence of placental lesions and fetal death and in helping to understand etiologies of stillbirths at different GAs.

Bibliometric Analysis of Food Fraud

Food fraud threatens consumer health, food integrity, and global food supply systems, making it a global issue. Recently, bibliometric analysis has become a useful method for appraising studies in food science and fraud detection. This systematic review employs bibliometric tools to examine food fraud research trends, notable authors, and significant research issues. This investigation searches different scientific databases for relevant 1931–2023 papers. VOSviewer was used to show co-author networks, keyword co-occurrence, pattern quotations, and other bibliometric indicators. The bibliometric study shows a decade-long growth in food fraud studies. This food fraud detection bibliometric study covers the research landscape. These studies help food fraud researchers, policymakers, and other stakeholders discover research trends, prominent authors, significant work, and collaborative networks. These findings can inform future research, information exchange, and evidence-based food safety and consumer protection decisions.

Electronic health records identify timely trends in childhood mental health conditions

BackgroundElectronic health records (EHRs) data provide an opportunity to collect patient information rapidly, efficiently and at scale. National collaborative research networks, such as PEDSnet, aggregate EHRs data across institutions, enabling rapid identification of pediatric disease cohorts and generating new knowledge for medical conditions. To date, aggregation of EHR data has had limited applications in advancing our understanding of mental health (MH) conditions, in part due to the limited research in clinical informatics, necessary for the translation of EHR data to child mental health research.MethodsIn this cohort study, a comprehensive EHR-based typology was developed by an interdisciplinary team, with expertise in informatics and child and adolescent psychiatry, to query aggregated, standardized EHR data for the full spectrum of MH conditions (disorders/symptoms and exposure to adverse childhood experiences (ACEs), across 13 years (2010–2023), from 9 PEDSnet centers. Patients with and without MH disorders/symptoms (without ACEs), were compared by age, gender, race/ethnicity, insurance, and chronic physical conditions. Patients with ACEs alone were compared with those that also had MH disorders/symptoms. Prevalence estimates for patients with 1+ disorder/symptoms and for specific disorders/symptoms and exposure to ACEs were calculated, as well as risk for developing MH disorder/symptoms.ResultsThe EHR study data set included 7,852,081 patients < 21 years of age, of which 52.1% were male. Of this group, 1,552,726 (19.8%), without exposure to ACEs, had a lifetime MH disorders/symptoms, 56.5% being male. Annual prevalence estimates of MH disorders/symptoms (without exposure to ACEs) rose from 10.6% to 2010 to 15.1% in 2023, a 44% relative increase, peaking to 15.4% in 2019, prior to the Covid-19 pandemic. MH categories with the largest increases between 2010 and 2023 were exposure to ACEs (1.7, 95% CI 1.6–1.8), anxiety disorders (2.8, 95% CI 2.8–2.9), eating/feeding disorders (2.1, 95% CI 2.1–2.2), gender dysphoria/sexual dysfunction (43.6, 95% CI 35.8–53.0), and intentional self-harm/suicidality (3.3, 95% CI 3.2–3.5). White youths had the highest rates in most categories, except for disruptive behavior disorders, elimination disorders, psychotic disorders, and standalone symptoms which Black youths had higher rates. Median age of detection was 8.1 years (IQR 3.5–13.5) with all standalone symptoms recorded earlier than the corresponding MH disorder categories.ConclusionsThese results support EHRs’ capability in capturing the full spectrum of MH disorders/symptoms and exposure to ACEs, identifying the proportion of patients and groups at risk, and detecting trends throughout a 13-year period that included the Covid-19 pandemic. Standardized EHR data, which capture MH conditions is critical for health systems to examine past and current trends for future surveillance. Our publicly available EHR-mental health typology codes can be used in other studies to further advance research in this area.

Digital Technologies for Sustainable Tourism Destinations: State of the Art and Research Agenda

This study explores the adoption of digital technology in sustainable tourism destinations and provides insights into current research. Using a bibliometric analysis approach, it comprehensively evaluates research outputs, identifies trends, and highlights key themes and collaborative networks. Employing a bibliometric analysis approach, this study utilizes the Scopus database and bibliometric software. After rigorous data cleaning, bibliographic coupling maps, collaboration networks, and keyword maps are generated using Biblioshiny and VOSviewer for comprehensive analysis. Analyzing 559 papers, the study reveals a consistent growth in publications, indicating increasing research interest in digital technology adoption in sustainable tourism destinations. Europe, Asia, and North America are the primary regions of research activity. Interdisciplinary collaboration is high, emphasizing the multidimensional nature of the field. While valuable, the bibliometric analysis is limited by data availability and quality in the Scopus database. Relevant research outputs may be excluded. The study focuses on overall trends and patterns rather than individual paper content. The study’s findings have practical implications for researchers, policymakers, and practitioners in sustainable tourism. The identification of key themes and collaborative networks can guide future research and foster interdisciplinary collaborations. This study contributes to the existing literature on technological innovations in sustainable tourism destinations through its bibliometric analysis approach. Through providing an overview of the research landscape, identifying trends and collaborative networks, it offers valuable insights into the current state of research. The findings serve as a foundation for further exploration and advancement in sustainable tourism and digital technology.