Artículo

Mapping the dengue scientific landscape worldwide: a bibliometric and network analysis

Resumen

BACKGROUND Despite the current global trend of reduction in the morbidity and mortality of neglected diseases, dengue’s incidence has increased and occurrence areas have expanded. Dengue also persists as a scientific and technological challenge since there is no effective treatment, vaccine, vector control or public health intervention. Combining bibliometrics and social network analysis methods can support the mapping of dengue research and development (R&D) activities worldwide. OBJECTIVES The aim of this paper is to map the scientific scenario related to dengue research worldwide. METHODS We use scientific publication data from Web of Science Core Collection – articles indexed in Science Citation Index Expanded (SCI-EXPANDED) – and combine bibliometrics and social network analysis techniques to identify the most relevant journals, scientific references, research areas, countries and research organisations in the dengue scientific landscape. FINDINGS Our results show a significant increase of dengue publications over time; tropical medicine and virology as the most frequent research areas and biochemistry and molecular biology as the most central area in the network; USA and Brazil as the most productive countries; and Mahidol University and Fundacao Oswaldo Cruz as the main research organisations and the Centres for Disease Control and Prevention as the most central organisation in the collaboration network. MAIN CONCLUSIONS Our findings can be used to strengthen a global knowledge platform guiding policy, planning and funding decisions as well as to providing directions to researchers and institutions. So that, by offering to the scientific community, policy makers and public health practitioners a mapping of the dengue scientific landscape, this paper has aimed to contribute to upcoming debates, decision-making and planning on dengue R& D and public health strategies worldwide.
Li, Jia-Xuan (57941377800); Qu, Yu-Dun (58017598400); Xia, Chang-Liang (57362505400); Zhang, Wei (57803502700); Wang, Song-Song (58823455300); Ou, Shuan-Ji (57215274090); Yang, Yang (57215300085); Qi, Yong (56824877900); Xu, Chang-Peng (55602094800)
Analysis of PANoptosis-related ceRNA network reveals lncRNA MIR17HG involved in osteogenic differentiation inhibition impaired by tumor necrosis factor-α
2024
10.1007/s11033-024-09810-0
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201332114&doi=10.1007%2fs11033-024-09810-0&partnerID=40&md5=88bb1dbe9f9a3b224ca2e94cec2e7c46
The Affiliated Guangdong Second Provincial General Hospital of Jinan University, No. 466 Xingang Road, Haizhu District, Guangdong, Guangzhou, 510317, China; Department of Orthopaedics, Southern Medical University, Guangdong, Guangzhou, China; School of Medicine, XiaMen University, Fujian, Xiamen, China
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