Improving anthelmintic treatment for schistosomiasis and soil-transmitted helminthiases through sharing and reuse of individual participant data

The Infectious Diseases Data Observatory (IDDO, https://www.iddo.org) has launched a clinical data platform for the collation, curation, standardisation and reuse of individual participant data (IPD) on treatments for two of the most globally important neglected tropical diseases (NTDs), schistosomiasis (SCH) and soil-transmitted helminthiases (STHs). This initiative aims to harness the power of data-sharing by facilitating collaborative joint analyses of pooled datasets to generate robust evidence on the efficacy and safety of anthelminthic treatment regimens. A crucial component of this endeavour has been the development of a Research Agenda to promote engagement with the SCH and STH research and disease control communities by highlighting key questions that could be tackled using data shared through the IDDO platform. Here, we give a contextual overview of the priority research themes articulated in the Research Agenda—a ‘living’ document hosted on the IDDO website—and describe the three-stage consultation process behind its development. We also discuss the sustainability and future directions of the platform, emphasising throughout the power and promise of ethical and equitable sharing and reuse of clinical data to support the elimination of NTDs.

E-Platform Enabled Transnational E-Entrepreneurship

This paper examines transnational e-entrepreneurs enabled by e-platforms through the lens of entrepreneurship process theories. The authors argue that transnational e-entrepreneurs engaging in necessity-driven e-entrepreneurship have been neglected in current related literature. This paper first proposes that transnational e-entrepreneurship research should be conducted in a framework of cross-country e-entrepreneurial ecosystem that combines host- and home-country entrepreneurial ecosystems and digital ecosystems. Then the framework was tested by case studies and proved to be valid. The paper found that e-platforms enabled necessity-driven transnational entrepreneurs to operate in the same manner with opportunity-drive entrepreneurship. The authors also conclude future research themes for transnational e-entrepreneurship study should separate necessity-driven and opportunity-driven entrepreneurs. It suggests the policymaker needs to emphasize necessity-driven e-entrepreneurs.

Social entrepreneurship organisations and collaboration: taking stock and looking forward

PurposeThe aim of this systematic literature review (SLR) is to map out the current state of the research on collaboration in the context of social entrepreneurship organisations (SEOs), synthesise this line of research and advance a research agenda.Design/methodology/approachA SLR of 40 scientific articles found in the Scopus and Web of Science databases built the foundation for an analysis of the state-of-the-art of the research addressing the interplay of SEOs and collaboration. This area of research has been very recent since the selected articles have been published since 2005 and more than half of which have appeared since 2017.FindingsThe findings suggest that collaboration is increasingly perceived as a crucial entrepreneurial activity and process for SEOs. The results indicate that collaboration is a vibrant and rapidly growing line of research which spans different fields of study, contexts, varied theoretical perspectives and multiple units of analysis. Furthermore, a total of five key research themes are identified pertaining to collaboration in the context of SEOs, such as motivations and strategies of collaboration, its antecedents, the interplay of institutional logics and tensions arising in collaboration, the impact of collaboration on the mission of SEOs and collaborative processes and practices.Originality/valueTo lend structure to this fragmented field of inquiry, this study systematically reviews and synthesises research on collaboration in the context of SEOs. In doing so, the study reveals that this line of research is under-researched, offering a significant scope for further scrutiny.

A Critical Review of Success Factors for Sustainable Agritourism Development

Sustainable agritourism development is at the apex of contemporary discussions on sustainable tourism development as evidenced by enormous studies being done on this tourism concept. This review paper discussed the contributions of one hundred and five (105) research articles that were published in several tourism journals. The main objective of this paper was to establish the current state of literature on Success Factors (SFs) for sustainable agritourism development, identify research gaps, suggest areas of future study and draw lessons that are of importance to the development of agritourism in Zimbabwe. Statistical analysis was employed in order to establish the distribution of the sampled research articles over time, by continent, distribution by research method, distribution by research approach and distribution by research themes. The results of this study revealed that research on agritourism development is biased towards the developed countries, most of the research used qualitative research with focus more on the supply side and little has been done to establish the requirements and CSFs for the development of this tourism concept. The findings of this study provide a baseline upon which future studies in agritourism, could be build.

A BIBLIOMETRIC ANALYSIS ON THE DISSEMINATION OF COVID -19 VACCINE MISINFORMATION ON SOCIAL MEDIA

In recent years, COVID-19 vaccine-related issues and viewpoints have aroused significant anxiety and concern. Several research studies are extracting, tracking, and evaluating prevalent public opinions on social media and making efforts to curb the misinformation spread. But, there is still a large audience that perceives vaccination as a threat, which in turn reduces our ability to fight effectively against the pandemic. This bibliometric study aims to explore the distribution of capabilities of researchers, institutions, and countries, research themes, and frontiers of Covid-19 vaccine-related misinformation trending on social media since the rollout of these vaccines. The Scopus online database was used for analysis. Excel 2016 and VOSViewer (version 1.6.17) software were used to report the visualizations of infodemic literature on COVID Vaccine on social media. Annual publications, top contributing authors, top-cited journals and author affiliation, leading subject areas, the top country in publication, and keyword network were among the key findings. Future researchers can use these findings to create a baseline before studying Covid-19 vaccine misinformation on social media. Furthermore, it may help in compiling crucial knowledge, trends, and lessons from existing researches to provide useful insights to handle similar phenomena in the future.

A Comprehensive Analysis of E-Health Literacy Research Focuses and Trends

Objective: To sort out the research focuses in the field of e-health literacy, analyze its research topics and development trends, and provide a reference for relevant research in this field in the future. Methods: The literature search yielded a total of 431 articles retrieved from the core dataset of Web of Science using the keywords “ehealth literacy”, “E-health literacy” and “electronic health literacy”. A bibliometric analysis was performed by using CiteSpace to explore the development history, hot themes, and trends of future research in the field of e-health literacy. Results: The thematic evolution path in e-health literacy was divided into three stages. The research focuses were inspected from four aspects: evaluation, correlation with health-promotion behaviors, influencing factors, and intervention measures for improvement. Conclusion: E-health literacy research faces challenges such as the development of the connotation of the term, the objectivity of evaluation methods, and the long-term impact of interventions. Future research themes in e-health literacy will include the standardization of evaluation instruments and the individualization of therapeutic strategies.

A Bibliometric Analysis and Review of Building Information Modelling for Post-Disaster Reconstruction

Post-disaster reconstruction (PDR) is a dynamic, complex system that is chaotic in nature, and represents many challenges and issues. Recently, building information modelling (BIM) has been commonly utilized in the construction industry to solve complex and dynamic challenges. However, BIM has not been thoroughly considered for managing PDR, and there is a lack of comprehensive scientometric analyses that objectively examine the trends in BIM applications in PDR. A literature search was performed considering studies published from 2010 to March 2021 using the Scopus database. A total of 75 relevant studies were found to meet the inclusion criteria. The collected literature was analyzed using VOSviewer through scientific journals, authors, keywords, citations, and countries. This is the first study in its vital significance and originality that aims to investigate the current states of research on BIM applications in PDR and provide suggestions for potential research directions. The findings showed that “Reconstruction” and “Safety Management” have emerged as mainstream research themes in this field and recently attracted scholars’ interest, which could represent the directions of future research. Five major research domains associated with BIM were identified based on the most frequently used keywords, namely “Disasters”, “Earthquakes”, “HBIM”, “Damage Detection”, and “Life Cycle”. Moreover, a proposed conceptual framework of BIM adoption for PDR is provided. Accordingly, the outcomes of this study will help scholars and practitioners gain clear ideas of the present status and identify the directions of future research.

Information Diffusion Model in Twitter: A Systematic Literature Review

Information diffusion, information spread, and influencers are important concepts in many studies on social media, especially Twitter analytics. However, literature overviews on the information diffusion of Twitter analytics are sparse, especially on the use of continuous time Markov chain (CTMC). This paper examines the following topics: (1) the purposes of studies about information diffusion on Twitter, (2) the methods adopted to model information diffusion on Twitter, (3) the metrics applied, and (4) measures used to determine influencer rankings. We employed a systematic literature review (SLR) to explore the studies related to information diffusion on Twitter extracted from four digital libraries. In this paper, a two-stage analysis was conducted. First, we implemented a bibliometric analysis using VOSviewer and R-bibliometrix software. This approach was applied to select 204 papers after conducting a duplication check and assessing the inclusion–exclusion criteria. At this stage, we mapped the authors’ collaborative networks/collaborators and the evolution of research themes. Second, we analyzed the gap in research themes on the application of CTMC information diffusion on Twitter. Further filtering criteria were applied, and 34 papers were analyzed to identify the research objectives, methods, metrics, and measures used by each researcher. Nonhomogeneous CTMC has never been used in Twitter information diffusion modeling. This finding motivates us to further study nonhomogeneous CTMC as a modeling approach for Twitter information diffusion.

Research themes of family and community physicians in Brazil

Family and community medicine is a specialty dedicated to primary care, the cornerstone of effective health systems. Research capacity in primary care varies worldwide, and bibliographic databases such as MEDLINE, Scopus and Web of Science do not index most primary care research coming from Latin America. Our objective was to investigate the research themes of family and community physicians in Brazil, and to correlate the articles' research themes with their authors' trajectories in postgraduate education. For that, we compiled a national list of family and community physicians, retrieved their curricula from the Lattes Platform, compiled a list of journal articles, and obtained their keywords from LILACS and MEDLINE. Treating journal articles and their keywords as the two node types in a bipartite network, we derived research themes using the dual-projection algorithm, combining the Leiden algorithm with hierarchical clustering. We found two research themes to be the largest, most developed, and most central ones: human health and primary care. Authors with a master's or PhD in collective health (public health, epidemiology, and social sciences and humanities in health) were as likely as those with no postgraduate degree to publish articles on primary care. On the other hand, authors with a postgraduate degree in medicine were more likely to publish articles on human health. After discussing the findings in light of previous research and methodological aspects, we conclude there's a relative divide between primary care and clinical research, and the highlight policy implications.