Main Article Content

Abstract

Pulmonary tuberculosis (TB) remains a major global public health problem influenced by complex environmental, social, and demographic factors. The growing volume of research on pulmonary TB highlights the need for a systematic mapping of research trends, thematic structures, and contributions from countries and journals. This study aims to analyze global research trends on pulmonary tuberculosis and environmental risk factors over the past five years based on international scientific publications. A bibliometric approach with a descriptive-analytical design was employed. Bibliographic data were retrieved from the Scopus database using relevant keywords and analyzed using various bibliometric techniques, including three-field plots, country contribution analysis, geographic distribution mapping, word cloud analysis, keyword co-occurrence networks, and thematic mapping. The results indicate that epidemiology, risk factors, and human population characteristics dominate pulmonary TB research. China, the United States, and India emerge as the leading contributors, with varying levels of international collaboration. Publications are predominantly disseminated through high-impact journals in infectious diseases and public health. The thematic analysis reveals well-established core themes alongside niche topics and emerging or declining themes, reflecting the dynamic evolution of pulmonary TB research. In conclusion, global research on pulmonary tuberculosis has developed within a structured and interconnected scientific network. However, stronger international collaboration and deeper exploration of environmental risk factors are required to support evidence-based TB control strategies.

Keywords

Pulmonary Tuberculosis Environmental Risk Factors Bibliometric Analysis Research Trends

Article Details

How to Cite
Asrianto, L. O., Gafur, A., Hasiu, T. S., & Latif, S. A. (2025). Trend Analysis of Pulmonary TB Cases and Environmental Risk Factors Over the Past Five Years. Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton, 11(4), 1301–1315. https://doi.org/10.35326/pencerah.v11i4.3178

References

  1. Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.
  2. Baker, M. G., et al. (2018). Environmental factors and tuberculosis transmission. The Lancet Infectious Diseases.
  3. Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1), 179–255.
  4. Bornmann, L., & Leydesdorff, L. (2014). Scientometrics in a changing research landscape. EMBO Reports, 15(12), 1228–1232.
  5. Callaghan, M. W., et al. (2019). Tracking the global spread of research topics in public health. Scientometrics, 121(3), 1417–1439.
  6. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402.
  7. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296.
  8. Glänzel, W., & Schubert, A. (2004). Analysing scientific networks through co-authorship. Handbook of Quantitative Science and Technology Research, 257–276.
  9. Hargreaves, J. R., et al. (2011). The social determinants of tuberculosis. International Journal of Tuberculosis and Lung Disease.
  10. Heimerl, F., Lohmann, S., Lange, S., & Ertl, T. (2014). Word cloud explorer: Text analytics based on word clouds. 2014 47th Hawaii International Conference on System Sciences, 1833–1842.
  11. Katz, J. S., & Martin, B. R. (1997). What is research collaboration? Research Policy, 26(1), 1–18.
  12. Leydesdorff, L., & Welbers, K. (2011). The semantic mapping of words and co-words in contexts. Journal of Informetrics, 5(3), 469–475.
  13. Lin, H. H., et al. (2019). Indoor air pollution and tuberculosis. PLOS Medicine.
  14. Lönnroth, K., et al. (2010). Drivers of tuberculosis epidemics. The Lancet.
  15. Melsew, Y. A., et al. (2021). Environmental determinants of pulmonary TB. BMC Public Health.
  16. Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. El Profesional de la Información, 29(1), e290103.
  17. Noyons, E. C. M., Moed, H. F., & Luwel, M. (1999). Combining mapping and citation analysis for evaluative bibliometrics. Journal of the American Society for Information Science, 50(2), 115–131.
  18. Onozaki, I., et al. (2015). Global trends in tuberculosis incidence. Bulletin of the WHO.
  19. Prüss-Ustün, A., et al. (2019). Environmental risks to health. WHO.
  20. Small, H. (2006). Tracking and predicting growth areas in science. Scientometrics, 68(3), 595–610.
  21. Tadesse, S., et al. (2018). Time trend analysis of tuberculosis. Epidemiology and Infection.
  22. Waltman, L., van Eck, N. J., & Noyons, E. C. M. (2014). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 8(4), 629–635.
  23. WHO. (2023). Global Tuberculosis Report. World Health Organization.
  24. Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472.

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