A bibliometric review of global visibility, impact and adoption of electronic invoicing: The past and the future.

The objective of this study is to conduct a bibliometric review of literature on electronic invoicing to provide an understanding of the growing field and valuable sources for future research. A total of 191 papers within the period of 1997 to July 2021 were included in our analysis. The systemic analysis revealed several insights in research progression over two decades, relevant authors and leading institutions including countries, most frequent keywords, and the principal methodologies and theories adopted. Although the field of electronic invoicing is still emerging, it is interesting to see trending keywords such as 'data mining', 'automation', 'blockchain', 'digital storage', and 'machine learning' as demonstrated in recent publications. The study also attempted to develop a framework and proposed an integrated theory of electronic invoicing since the general theoretical framework does not exist in the literature. Several research gaps were exposed related to more studies in the emerging field of electronic invoicing and how future studies could further shape the field by addressing yet unanswered questions. We anticipate that the findings in this study will be a valuable contribution and resource for e-invoicing research.

Bibliometric structured review of tuberculosis in Nigeria.

Background: The tuberculosis burden is growing in Nigeria along with its population. For example, Nigeria has the sixth highest TB burden globally, with an estimated 4.3 per cent multi-drug resistance in new cases. This study builds on the existing study that examined academic involvement in tuberculosis research. The study in question focused on global medical literature related to tuberculosis, but the non-visibility of some low and middle-income countries in the bigger global picture motivated this present study. Every year, over 245,000 Nigerians succumb to tuberculosis (TB), with approximately 590,000 new cases reported (of these, around 140,000 are also HIV-positive). This study carried out an academic publication evaluation with the VOS viewer tool to map bibliometric data for scholarly articles published between 1991 and 2021 on tuberculosis research and used the Biblioshiny app for analytics and plots of authors, sources, and documents to explore the descriptive statistics of tuberculosis literature. The present study delineates that England has the highest collaborating country with Nigeria in the study of tuberculosis over the years and according to the report, the University of Nigeria, the University of Ibadan, and Nnamdi Azikwe University are Nigerian institutions with extensive collaborations. This study concludes with managerial implications for future actions.

Generalized cure rate model for infectious diseases with possible co-infections.

This research mainly aims to develop a generalized cure rate model, estimate the proportion of cured patients and their survival rate, and identify the risk factors associated with infectious diseases. The generalized cure rate model is based on bounded cumulative hazard function, which is a non-mixture model, and is developed using a two-parameter Weibull distribution as the baseline distribution, to estimate the cure rate using maximum likelihood method and real data with R and STATA software. The results showed that the cure rate of tuberculosis (TB) patients was 26.3%, which was higher than that of TB patients coinfected with human immunodeficiency virus (HIV; 23.1%). The non-parametric median survival time of TB patients was 51 months, while that of TB patients co-infected with HIV was 33 months. Moreover, no risk factors were associated with TB patients co-infected with HIV, while age was a significant risk factor for TB patients among the suspected risk factors considered. Furthermore, the bounded cumulative hazard function was extended to accommodate infectious diseases with co-infections by deriving an appropriate probability density function, determining the distribution, and using real data. Governments and related health authorities are also encouraged to take appropriate actions to combat infectious diseases with possible co-infections.