Tabak, B.M.; Froner, M.B.; Corrêa, R.S.; Silva, T.C. The Intersection of Health Literacy and Public Health: A Machine Learning-Enhanced Bibliometric Investigation. Int. J. Environ. Res. Public Health2023, 20, 6951.
Tabak, B.M.; Froner, M.B.; Corrêa, R.S.; Silva, T.C. The Intersection of Health Literacy and Public Health: A Machine Learning-Enhanced Bibliometric Investigation. Int. J. Environ. Res. Public Health 2023, 20, 6951.
Tabak, B.M.; Froner, M.B.; Corrêa, R.S.; Silva, T.C. The Intersection of Health Literacy and Public Health: A Machine Learning-Enhanced Bibliometric Investigation. Int. J. Environ. Res. Public Health2023, 20, 6951.
Tabak, B.M.; Froner, M.B.; Corrêa, R.S.; Silva, T.C. The Intersection of Health Literacy and Public Health: A Machine Learning-Enhanced Bibliometric Investigation. Int. J. Environ. Res. Public Health 2023, 20, 6951.
Abstract
Introduction: In recent decades, health literacy, in connection with a broad range of public 1 health terms, has become a burgeoning field. This study aims to explore trends and biases in this 2 area through a bibliometric analysis. Methods: A Random Forest Model was utilized to identify 3 keywords and other metadata that predict annual citations in the field. In order to supplement 4 this machine learning analysis, we have also implemented a bibliometric review of the corpus. 5 Results: Findings indicate a high positive coefficient for the keyword ’Covid-19’ and ’Male’, whereas a 6 negative coefficient was observed for ’Female’, suggesting potential biases. Evolving themes such as 7 Covid-19, Mental Health, and Social Media were discovered. A significant shift was noted in the main 8 publishing journals, while the major contributing authors remained the same. Discussion: The results 9 hint at the influence of the Covid-19 pandemic and potential gender biases on citation likelihood, as 10 well as changing publication strategies despite the fact that the main researchers remain as the ones 11 that have been studying health literacy since its creation.
Keywords
Health literacy; Bibliometric Analysis; Public Health; Random Forest; Covid-19
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
