Scientific knowledge in the 21st century on social and economic factors that influence mortality due to tuberculosis: A bibliometric review

Samuel Collantes Santisteban, Luis Jaime Collantes Santisteban, Kelly Scarlett Collantes Alvarado, Tomasa Vallejos Sosa, Luis Alberto Reyes Lescano, Bertha Beatriz Peña Pérez, Carlos Ulices Vásquez Crisanto

Article ID: 9178
Vol 8, Issue 11, 2024

VIEWS - 0 (Abstract) 0 (PDF)

Abstract


This research presents a bibliometric review of scientific production on the social and economic factors that influence mortality from tuberculosis between the years 2000 and 2024. The analysis covered 1742 documents from 848 sources, revealing an annual growth of 6% in scientific production with a notable increase starting in 2010, reaching a peak in 2021. This increase reflects growing concern about socioeconomic inequalities affecting tuberculosis mortality, exacerbated in part by the COVID-19 pandemic. The main authors identified in the study include Naghavi, Basu and Hay, whose works have had a significant impact on the field. The most prominent journals in the dissemination of this research are Plos One, International Journal of Tuberculosis and Lung Disease and The Lancet. The countries with the greatest scientific production include the United States, the United Kingdom, India and South Africa, highlighting a strong international contribution and a global approach to the problem. The semantic development of the research shows a concentration on terms such as “mortality rate”, “risk factors” and “public health”, with a thematic map highlighting driving themes such as “socioeconomic factors” and “developing countries”. The theoretical evolution reflects a growing interest in economic and social aspects to gender contexts and associated diseases. This study provides a comprehensive view of current scientific knowledge, identifying key trends and emerging areas for future research.


Keywords


tuberculosis; socioeconomic factors; mortality; bibliometric review; research trends

Full Text:

PDF


References


Al-Worafi, Y. M. (2024). Tuberculosis Management in Developing Countries. In Handbook of Medical and Health Sciences in Developing Countries. Cham: Springer International Publishing. pp. 1-40. https://doi.org/10.1007/978-3-030-74786-2_52-1

Babor, T., Caulkins, J., Edwards, G. (2010). Drug policy and the public good (Spanish). Available online: https://www.minjusticia.gov.co/programas-co/ODC/Publicaciones/Publicaciones/CO031052010-Politica_Drogas_Bien_Publico.pdf (accessed on 12 August 2024).

Basu, R., Kundu, S., Biswas, D., et al. (2021). Socio-Demographic and Clinical Profile of Drug Resistant Tuberculosis Patients in a Tertiary Care Centre of Kolkata. Indian Journal of Community Health, 33(4), 608-614. https://doi.org/10.47203/IJCH.2021.v33i04.012

Bibliometrix. (2023). Bibliometrix-Home. Available online: https://www.bibliometrix.org/home/index.php (accessed on 12 August 2024).

Cabanillas-Lazo, M., Quispe-Vicuña, C., Pascual-Guevara, M., et al. (2022). Bibliometric analyses of applications of artificial intelligence on tuberculosis. International Journal of Mycobacteriology, 11(4), 389-393. https://doi.org/10.4103/ijmy.ijmy_134_22

Daniel, O., Adejumo, O., Bamidele, J., et al. (2022). Social determinants of tuberculosis in Nigeria: an ecological approach. Journal of Public Health in Africa, 13(4), 12. https://doi.org/10.4081/jphia.2022.2215

Erdem, S., Ipek, F., Bars, A., et al. (2022). Investigating the effect of macro-scale estimators on worldwide COVID-19 occurrence and mortality through regression analysis using online country-based data sources. BMJ Open, 12(2), e055562. https://doi.org/10.1136/bmjopen-2021-055562

Ghasemi, M., Badsar, M., Falahati, L., et al. (2021). The mediation effect of rural women empowerment between social factors and environment conservation (combination of empowerment and ecofeminist theories). Environment, Development and Sustainability, 23(9), 13755–13777. https://doi.org/10.1007/s10668-021-01237-y

Kyu, H. H., Jahagirdar, D., Cunningham, M., et al. (2021). Accounting for misclassified and unknown cause of death data in vital registration systems for estimating trends in HIV mortality. Journal of the International AIDS Society, 24(S5), e25791. https://doi.org/10.1002/jia2.25791

Machmud, R., Haris, D., Thompson, M., et al. (2015). Involving school children and multisector approach as strategies to reduce the stigma of TB in Indonesia. In A101. In: Proceedings of the Effective communication strategies for improvement of patient care. American Thoracic Society International Conference Abstracts. pp. A2227-A2227.

Minnaard, V., & Elbaba, J. (2024). Tuberculosis: Interdisciplinary View and Representation Using Artificial Intelligence. Asian Journal of Medicine and Health, 22(1), 21-32. https://doi.org/10.9734/ajmah/2024/v22i1972

Nafade, V., Nash, M., Huddart, S., et al. (2018). A bibliometric analysis of tuberculosis research, 2007–2016. PLoS ONE, 13(6), e0199706. https://doi.org/10.1371/journal.pone.0199706

Pant, A., Farrokhi, F., Gyawali, P., et al. (2024). Global research trends in central nervous system tuberculosis — A bibliometric analysis. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases, 34, 100414. https://doi.org/10.1016/j.jctube.2024.100414

Sakorafas, G. H., & Tsiotou, A. G. (2000). Etiology and Pathogenesis of Acute Pancreatitis. Journal of Clinical Gastroenterology, 30(4), 343–356. https://doi.org/10.1097/00004836-200006000-00002

VOSViewer. (2023). VOSviewer-Visualizing scientific landscapes. Available online: https://www.vosviewer.com (accessed on 12 August 2024).

Walker, P. G. T., Whittaker, C., Watson, O. J., et al. (2020). The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries. Science, 369(6502), 413–422. https://doi.org/10.1126/science.abc0035

Xiong, Y., Wei, J., Cai, Y., et al. (2022). Analysis of the Research Hotspot of Drug Treatment of Tuberculosis: A Bibliometric Based on the Top 50 Cited Literatures. BioMed Research International, 2022(1), 9542756. https://doi.org/10.1155/2022/9542756

Ye, H., Li, Q., Kasanga, M., & Lin, D. (2017). Bibliometric analysis of tuberculosis pleurisy based on web of science. Biomedical Research (India), 28(7), 3322-3327.




DOI: https://doi.org/10.24294/jipd.v8i11.9178

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Authors

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.