Background: In this paper, we examine how social media influencers can influence visit intention, especially in the case of Raffi Ahmad and Nagita Slavina, a top influencer who by 2 September 2021 had reached 21.3 M subscribers on YouTube and 54.9 m followers on Instagram with an engagement rate of 0.42%. The focus of this study is Generation Y or Millennials (born 1981–1996) and Generation Z (born 1997–2012). Design/methodology/approach: Snowball sampling was performed to arrive at a representative group of Millennials. Data analysis was performed using hierarchical likelihood via structural equation modeling. Findings: The study results are helpful for a comprehensive understanding of factors affecting visit intention. Effects of the study results summary, tourists from Generations Y and Z are thriving within the internet of things and the digital age, an era in which information can be accessed via various forms of technology across multiple platforms. Practical implications: We discuss and identify the relative importance of each factor through the use of logistics with variational approximation and structural equation models using hierarchical likelihood. Originality: The technique we use is an integrated and extended version of the structural equation model with hierarchical likelihood estimation and features selection using logistics variational approximation.

Design: Health issues throughout the sustainable development goals have also been integrated into one ultimate goal, which helps to ensure a healthy lifestyle as well as enhances well-being for any and all human beings of all social level. Meanwhile, regarding the clime change, we may take urgent action to its impacts. Purpose: Nowadays, climate change makes it much more difficult to control the pattern of diseases transmitted and sometimes hard to prevent. In line with this, Centres for Disease Control (CDC) Taiwan grouped the spread of disease through its source in the first six main groups. Those are food or waterborne, airborne or droplet, vector-borne, sexually transmitted or blood-borne, contact transmission, and miscellaneous. According to this, academics, government, and the private sector should work together and collaborate to maintain the health issue. This article examines and connects the climate and communicable aspects towards Penta-Helix in Taiwan. Finding: In summary, we have been addressing the knowledge center on the number of private companies throughout the health care sector, the number of healthcare facilities, and the education institutions widely recognized as Penta Helix. In addition, we used hierarchical likelihood structural equation modeling (HSEMs). All the relationship variables among climate, communicable disease, and Penta Helix can be interpreted through the latent variables with GoF 79.24%.

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne disease caused by the SFTS virus, posing significant public health challenges in East Asia. This study aimed to evaluate the seroprevalence of SFTS on Jeju Island, Korea, and to identify the demographic and geographic factors influencing exposure to the virus. A total of 1001 serum samples collected from healthy individuals between 2009 and 2016 were analyzed using a double-antigen enzyme-linked immunosorbent assay. The overall seroprevalence was 1.7%, with slightly higher rates observed in females (2.06%) than in males (1.29%); however, this difference was not statistically significant. Seroprevalence increased with age, peaking at 2.50% in individuals over aged 60 and over. Regional analysis revealed elevated seroprevalence in the eastern coastal areas (4.41%), which was attributed to population density and environmental factors favoring human–tick interactions. These findings suggest that population distribution and land use patterns, rather than altitude alone, significantly affect the exposure of SFTS on Jeju Island. Targeted tick control strategies and public health interventions that focus on high-risk regions and demographics could mitigate SFTS transmission. This study provides valuable insights into the epidemiological characteristics of SFTS and emphasizes the importance of tailored preventive measures in endemic regions.

Unlocking insights from Ministry of Marine Affairs and Fisheries annual reports using LDA: a deep dive into SDG 14

Geographically weighted regression analysis of electricity consumption in Indonesian households: aligning with SDG 7