Topical Analysis of Scientific Publications on Drug-Resistant Tuberculosis Using Bibliometric and Text Mining Techniques

Drug-resistant tuberculosis is a form of tuberculosis that is resistant to at least one of the standard first-line anti-tuberculosis drugs. DR-TB can occur when patients do not complete their full course of TB medication, leading to the development of drug resistance. Improved diagnostics and more effective treatments are urgently needed to address this global health challenge, So This study uses bibliometric and text mining techniques to conduct a topical analysis of scientific publications on drug-resistant tuberculosis. WOS Core Collection citation database was used to extract data from the beginning until April 25, 2022. Afterward, the data was analyzed using Python and Microsoft Excel. The results revealed that scientific publications on drug-resistant tuberculosis have increased in recent years, with the majority of the publications consisting of articles and reviews. The USA, India, and South Africa, on the other hand, account for the majority of the publications. Furthermore, the findings demonstrated that publications related to drug-resistant tuberculosis had the highest publication rate in the following subjects: Drug Resistance, Care, Treatment, Drug Activity, Patient, and Drug Dose Therapy Regimen. The findings of the present study showed that the interest in drug-resistant tuberculosis is increasing and controlling its prevalence is becoming one of the key health preferences in the world.

Keywords: Drug-Resistant Tuberculosis, Scientific Publications, Bibliometric, Text Mining.