Artículo

COVID-19 and decent work: A bibliometric analysis

Resumen

BACKGROUND: The COVID-19 pandemic impacted the Sustainable Development Goals (SDGs). Among these impacts, those related to the SDG 8 can be highlighted. Consequently, the literature has addressed aspects related to economic growth and decent work. OBJECTIVE: This article aimed to evaluate the impact of the COVID-19 pandemic on decent work according to the literature. METHODS: For this, a bibliometric analysis was conducted. Data from Web of Science were collected, and VOSviewer software was used to perform the analysis. RESULTS: Regarding the results, four main clusters that govern the subject were identified. A first cluster (identified in red) evidenced the consequences of the pandemic to the generation of informal work, increasing poverty and the impacts on gender issues. A second cluster (identified in blue) addresses mental health and stress issues, especially for nurses professionals who experience a situation in the COVID-19 pandemic. The green cluster focused on unemployment, precarious employment, and work conditions, which were highly related to coronavirus contagion. Finally, the yellow cluster evidenced the final consequences when there is a substantial public health problem. CONCLUSIONS: The results presented here can be helpful to researchers interested in the, as it allows a broad and condensed view of important information about a relevant topic for sustainable economic development.
Hidayat, Erwin Yudi (57205439013); Hastuti, Khafiizh (56485990500); Muda, Azah Kamilah (23390362900)
Artificial intelligence in digital image processing: A bibliometric analysis
2025
10.1016/j.iswa.2024.200466
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212984349&doi=10.1016%2fj.iswa.2024.200466&partnerID=40&md5=14c2a82f6cb46e9efa80c050fc79c24f
Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, 76100, Malaysia
All Open Access; Gold Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Subscribirse
Notificación de
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio