Topic Analysis and Mapping of Tuberculosis Research Using Text Mining and Co-Word Analysis
This article is part of Special Issue:
Meisam Dastani,
Alireza Mohammadzadeh,
Jalal Mardaneh,
Reza Ahmadi,
Meisam Dastani
Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran gmu.ac.ir
Search for more papers by this authorAlireza Mohammadzadeh
Department of Microbiology, School of Medicine, Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran gmu.ac.ir
Search for more papers by this authorJalal Mardaneh
Department of Microbiology, School of Medicine, Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran gmu.ac.ir
Search for more papers by this authorCorresponding Author
Reza Ahmadi
School of Medicine, Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran gmu.ac.ir
Search for more papers by this authorMeisam Dastani,
Alireza Mohammadzadeh,
Jalal Mardaneh,
Reza Ahmadi,
Meisam Dastani
Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran gmu.ac.ir
Search for more papers by this authorAlireza Mohammadzadeh
Department of Microbiology, School of Medicine, Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran gmu.ac.ir
Search for more papers by this authorJalal Mardaneh
Department of Microbiology, School of Medicine, Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran gmu.ac.ir
Search for more papers by this authorCorresponding Author
Reza Ahmadi
School of Medicine, Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran gmu.ac.ir
Search for more papers by this authorFirst published: 08 November 2022
Academic Editor: Karl Drlica
Abstract
Tuberculosis is still one of the most severe progressive diseases; it severely limits the social and economic development of many countries. In the present study, the topic trend of scientific publications on tuberculosis has been examined using text mining techniques and co-word analysis with an analytical approach. The statistical population of the study is all global publications related to tuberculosis. In order to extract the data, the Scopus citation database was used for the period 1900 to 2022. The main keywords for the search strategy were chosen through consultation with thematic specialists and using MESH. Python programming language and VOSviewer software were applied to analyze data. The results showed four main topics as follows: “Clinical symptoms” (41.8%), “Diagnosis and treatment” (28.1%), “Bacterial structure, pathogenicity and genetics” (22.3%), and “Prevention” (7.84%). The results of this study can be helpful in the decision of this organization and knowledge of the process of studies on tuberculosis and investment and development of programs and guidelines against this disease.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
Open Research
Data Availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
- 1 Glaziou P., Falzon D., Floyd K., and Raviglione M., Global epidemiology of tuberculosis Seminars in respiratory and critical care medicine, 2013, Thieme Medical Publishers.
- 2 Harding E., WHO global progress report on tuberculosis elimination, The Lancet Respiratory Medicine. (2020) 8, no. 1, https://doi.org/10.1016/S2213-2600(19)30418-7, 31706931.
- 3 Fullman N., Barber R. M., Abajobir A. A., Abate K. H., Abbafati C., Abbas K. M., Abd-Allah F., Abdulkader R. S., Abdulle A. M., Abera S. F., Aboyans V., Abu-Raddad L. J., Abu-Rmeileh N. M. E., Adedeji I. A., Adetokunboh O., Afshin A., Agrawal A., Agrawal S., Ahmad Kiadaliri A., Ahmadieh H., Ahmed M. B., Aichour M. T. E., Aichour A. N., Aichour I., Aiyar S., Akinyemi R. O., Akseer N., al-Aly Z., Alam K., Alam N., Alasfoor D., Alene K. A., Alizadeh-Navaei R., Alkerwi A.'., Alla F., Allebeck P., Allen C., al-Raddadi R., Alsharif U., Altirkawi K. A., Alvis-Guzman N., Amare A. T., Amini E., Ammar W., Ansari H., Antonio C. A. T., Anwari P., Arora M., Artaman A., Aryal K. K., Asayesh H., Asgedom S. W., Assadi R., Atey T. M., Atre S. R., Avila-Burgos L., Avokpaho E. F. G. A., Awasthi A., Azzopardi P., Bacha U., Badawi A., Balakrishnan K., Bannick M. S., Barac A., Barker-Collo S. L., Bärnighausen T., Barrero L. H., Basu S., Battle K. E., Baune B. T., Beardsley J., Bedi N., Beghi E., Béjot Y., Bell M. L., Bennett D. A., Bennett J. R., Bensenor I. M., Berhane A., Berhe D. F., Bernabé E., Betsu B. D., Beuran M., Beyene A. S., Bhala N., Bhansali A., Bhatt S., Bhutta Z. A., Bicer B. K., Bidgoli H. H., Bikbov B., Bilal A. I., Birungi C., Biryukov S., Bizuayehu H. M., Blosser C. D., Boneya D. J., Bose D., Bou-Orm I. R., Brauer M., Breitborde N. J. K., Brugha T. S., Bulto L. N. B., Butt Z. A., Cahuana-Hurtado L., Cameron E., Campuzano J. C., Carabin H., Cárdenas R., Carrero J. J., Carter A., Casey D. C., Castañeda-Orjuela C. A., Castro R. E., Catalá-López F., Cercy K., Chang H. Y., Chang J. C., Charlson F. J., Chew A., Chisumpa V. H., Chitheer A. A., Christensen H., Christopher D. J., Cirillo M., Cooper C., Criqui M. H., Cromwell E. A., Crump J. A., Dandona L., Dandona R., Dargan P. I., das Neves J., Davitoiu D. V., de Courten B., de Steur H., Defo B. K., Degenhardt L., Deiparine S., Deribe K., deVeber G. A., Ding E. L., Djalalinia S., do H. P., Dokova K., Doku D. T., Donkelaar A., Dorsey E. R., Driscoll T. R., Dubey M., Duncan B. B., Ebel B. E., Ebrahimi H., el-Khatib Z. Z., Enayati A., Endries A. Y., Ermakov S. P., Erskine H. E., Eshrati B., Eskandarieh S., Esteghamati A., Estep K., Faraon E. J. A., Farinha C. S. S., Faro A., Farzadfar F., Fazeli M. S., Feigin V. L., Feigl A. B., Fereshtehnejad S. M., Fernandes J. C., Ferrari A. J., Feyissa T. R., Filip I., Fischer F., Fitzmaurice C., Flaxman A. D., Foigt N., Foreman K. J., Frank T., Franklin R. C., Friedman J., Frostad J. J., Fürst T., Furtado J. M., Gakidou E., Garcia-Basteiro A. L., Gebrehiwot T. T., Geleijnse J. M., Geleto A., Gemechu B. L., Gething P. W., Gibney K. B., Gill P. S., Gillum R. F., Giref A. Z., Gishu M. D., Giussani G., Glenn S. D., Godwin W. W., Goldberg E. M., Gona P. N., Goodridge A., Gopalani S. V., Goryakin Y., Griswold M., Gugnani H. C., Gupta R., Gupta T., Gupta V., Hafezi-Nejad N., Hailu G. B., Hamadeh R. R., Hammami M., Hankey G. J., Harb H. L., Hareri H. A., Hassanvand M. S., Havmoeller R., Hawley C., Hay S. I., He J., Hendrie D., Henry N. J., Heredia-Pi I. B., Hoek H. W., Holmberg M., Horita N., Hosgood H. D., Hostiuc S., Hoy D. G., Hsairi M., Htet A. S., Huang J. J., Huang H., Huynh C., Iburg K. M., Ikeda C., Inoue M., Irvine C. M. S., Jacobsen K. H., Jahanmehr N., Jakovljevic M. B., Jauregui A., Javanbakht M., Jeemon P., Jha V., John D., Johnson C. O., Johnson S. C., Jonas J. B., Jürisson M., Kabir Z., Kadel R., Kahsay A., Kamal R., Karch A., Karema C. K., Kasaeian A., Kassebaum N. J., Kastor A., Katikireddi S. V., Kawakami N., Keiyoro P. N., Kelbore S. G., Kemmer L., Kengne A. P., Kesavachandran C. N., Khader Y. S., Khalil I. A., Khan E. A., Khang Y. H., Khosravi A., Khubchandani J., Kieling C., Kim J. Y., Kim Y. J., Kim D., Kimokoti R. W., Kinfu Y., Kisa A., Kissimova-Skarbek K. A., Kivimaki M., Kokubo Y., Kopec J. A., Kosen S., Koul P. A., Koyanagi A., Kravchenko M., Krohn K. J., Kulikoff X. R., Kumar G. A., Kumar Lal D., Kutz M. J., Kyu H. H., Lalloo R., Lansingh V. C., Larsson A., Lazarus J. V., Lee P. H., Leigh J., Leung J., Leung R., Levi M., Li Y., Liben M. L., Linn S., Liu P. Y., Liu S., Lodha R., Looker K. J., Lopez A. D., Lorkowski S., Lotufo P. A., Lozano R., Lucas T. C. D., Lunevicius R., Mackay M. T., Maddison E. R., Magdy Abd el Razek H., Magdy Abd el Razek M., Majdan M., Majdzadeh R., Majeed A., Malekzadeh R., Malhotra R., Malta D. C., Mamun A. A., Manguerra H., Mantovani L. G., Manyazewal T., Mapoma C. C., Marks G. B., Martin R. V., Martinez-Raga J., Martins-Melo F. R., Martopullo I., Mathur M. R., Mazidi M., McAlinden C., McGaughey M., McGrath J. J., McKee M., Mehata S., Mehndiratta M. M., Meier T., Meles K. G., Memish Z. A., Mendoza W., Mengesha M. M., Mengistie M. A., Mensah G. A., Mensink G. B. M., Mereta S. T., Meretoja T. J., Meretoja A., Mezgebe H. B., Micha R., Millear A., Miller T. R., Minnig S., Mirarefin M., Mirrakhimov E. M., Misganaw A., Mishra S. R., Mitchell P. B., Mohammad K. A., Mohammed K. E., Mohammed S., Mohan M. B. V., Mokdad A. H., Mollenkopf S. K., Monasta L., Montañez Hernandez J. C., Montico M., Moradi-Lakeh M., Moraga P., Morawska L., Morrison S. D., Moses M. W., Mountjoy-Venning C., Mueller U. O., Muller K., Murthy G. V. S., Musa K. I., Naghavi M., Naheed A., Naidoo K. S., Nangia V., Natarajan G., Negoi R. I., Negoi I., Nguyen C. T., Nguyen Q. L., Nguyen T. H., Nguyen G., Nguyen M., Nichols E., Ningrum D. N. A., Nomura M., Nong V. M., Norheim O. F., Noubiap J. J. N., Obermeyer C. M., Ogbo F. A., Oh I. H., Oladimeji O., Olagunju A. T., Olagunju T. O., Olivares P. R., Olsen H. E., Olusanya B. O., Olusanya J. O., Ong K., Oren E., Ortiz A., Owolabi M. O., Pa M., Pana A., Panda B. K., Panda-Jonas S., Papachristou C., Park E. K., Patton G. C., Paulson K., Pereira D. M., Perico D. N., Pesudovs K., Petzold M., Phillips M. R., Pigott D. M., Pillay J. D., Pinho C., Piradov M. A., Pishgar F., Poulton R. G., Pourmalek F., Qorbani M., Radfar A., Rafay A., Rahimi-Movaghar V., Rahman M. H. U., Rahman M. A., Rahman M., Rai R. K., Rajsic S., Ram U., Ranabhat C. L., Rao P. C., Rawaf S., Reidy P., Reiner R. C., Reinig N., Reitsma M. B., Remuzzi G., Renzaho A. M. N., Resnikoff S., Rezaei S., Rios Blancas M. J., Rivas J. C., Roba K. T., Rojas-Rueda D., Rokni M. B., Roshandel G., Roth G. A., Roy A., Rubagotti E., Sadat N., Safdarian M., Safi S., Safiri S., Sagar R., Salama J., Salomon J. A., Samy A. M., Sanabria J. R., Santomauro D., Santos I. S., Santos J. V., Santric Milicevic M. M., Sartorius B., Satpathy M., Sawhney M., Saxena S., Saylan M. I., Schmidt M. I., Schneider I. J. C., Schneider M. T., Schöttker B., Schutte A. E., Schwebel D. C., Schwendicke F., Seedat S., Sepanlou S. G., Servan-Mori E. E., Shackelford K. A., Shaheen A., Shahraz S., Shaikh M. A., Shamsipour M., Shamsizadeh M., Shariful Islam S. M., Sharma J., Sharma R., She J., Shi P., Shibuya K., Shields C., Shifa G. T., Shiferaw M. S., Shigematsu M., Shin M. J., Shiri R., Shirkoohi R., Shirude S., Shishani K., Shoman H., Shrime M. G., Silberberg D. H., Silva D. A. S., Silva J. P., Silveira D. G. A., Singh J. A., Singh V., Sinha D. N., Skiadaresi E., Slepak E. L., Sligar A., Smith D. L., Smith A., Smith M., Sobaih B. H. A., Sobngwi E., Soljak M., Soneji S., Sorensen R. J. D., Sposato L. A., Sreeramareddy C. T., Srinivasan V., Stanaway J. D., Stein D. J., Steiner C., Steinke S., Stokes M. A., Strub B., Sufiyan M. B., Sunguya B. F., Sur P. J., Swaminathan S., Sykes B. L., Sylte D. O., Szoeke C. E. I., Tabarés-Seisdedos R., Tadakamadla S. K., Tandon N., Tao T., Tarekegn Y. L., Tavakkoli M., Taveira N., Tegegne T. K., Terkawi A. S., Tessema G. A., Thakur J. S., Thankappan K. R., Thrift A. G., Tiruye T. Y., Tobe-Gai R., Topor-Madry R., Torre A., Tortajada M., Tran B. X., Troeger C., Truelsen T., Tsoi D., Tuem K. B., Tuzcu E. M., Tyrovolas S., Ukwaja K. N., Uneke C. J., Updike R., Uthman O. A., van Boven J. F. M., Varughese S., Vasankari T., Venketasubramanian N., Vidavalur R., Violante F. S., Vladimirov S. K., Vlassov V. V., Vollset S. E., Vos T., Wadilo F., Wakayo T., Wallin M. T., Wang Y. P., Weichenthal S., Weiderpass E., Weintraub R. G., Weiss D. J., Werdecker A., Westerman R., Whiteford H. A., Wijeratne T., Wiysonge C. S., Woldeyes B. G., Wolfe C. D. A., Woodbrook R., Xavier D., Xu G., Yadgir S., Yakob B., Yan L. L., Yano Y., Yaseri M., Ye P., Yimam H. H., Yip P., Yonemoto N., Yoon S. J., Yotebieng M., Younis M. Z., Zaidi Z., Zaki M. E. S., Zavala-Arciniega L., Zhang X., Zipkin B., Zodpey S., Lim S. S., and Murray C. J. L., Measuring progress and projecting attainment on the basis of past trends of the health-related sustainable development goals in 188 countries: an analysis from the Global Burden of Disease Study 2016, The Lancet. (2017) 390, no. 10100, 1423–1459, https://doi.org/10.1016/S0140-6736(17)32336-X, 2-s2.0-85029166308, 28916366.
- 4 Dye C., Glaziou P., Floyd K., and Raviglione M., Prospects for tuberculosis elimination, Annual Review of Public Health. (2013) 34, no. 1, 271–286, https://doi.org/10.1146/annurev-publhealth-031912-114431, 2-s2.0-84875422921, 23244049.
- 5 Nafade V., Nash M., Huddart S., Pande T., Gebreselassie N., Lienhardt C., and Pai M., A bibliometric analysis of tuberculosis research, 2007–2016, PLoS One. (2018) 13, no. 6, article e0199706, https://doi.org/10.1371/journal.pone.0199706, 2-s2.0-85049017195, 29940004.
- 6 Igwaran A. and Edoamodu C. E., Bibliometric analysis on tuberculosis and tuberculosis-related research trends in Africa: a decade-long study, Antibiotics. (2021) 10, no. 4, https://doi.org/10.3390/antibiotics10040423, 33921235.
- 7 Chang L., Su Y., Zhu R., and Duan Z., Mapping international collaboration in tuberculosis research from 1998 to 2017: a scientometric study, Medicine. (2019) 98, no. 37, https://doi.org/10.1097/MD.0000000000017027, 2-s2.0-85072150635, 31517822.
- 8 Allahyari M., Pouriyeh S., Assefi M., Safaei S., Trippe E. D., Gutierrez J. B., and Kochut K., A brief survey of text mining: classification, clustering and extraction techniques, 2017, http://arxiv.org/abs/170702919.
- 9
Abramson D.,
Lees M.,
Krzhizhanovskaya V. V.,
Dongarra J. J., and
Sloot P. M., Big data meets computational science, preface for ICCS 2014, 2014, ICCS.
10.1016/j.procs.2014.04.002 Google Scholar
- 10 Jensen P. B., Jensen L. J., and Brunak S., Mining electronic health records: towards better research applications and clinical care, Nature Reviews. Genetics. (2012) 13, no. 6, 395–405, https://doi.org/10.1038/nrg3208, 2-s2.0-84861235431, 22549152.
- 11 Wang C., Blei D., and Heckerman D., Continuous time dynamic topic models, 2012, http://arxiv.org/abs/12051117.
- 12 Liu G.-Y., Hu J.-M., and Wang H.-L., A co-word analysis of digital library field in China, Scientometrics. (2012) 91, no. 1, 203–217, https://doi.org/10.1007/s11192-011-0586-4, 2-s2.0-84857914683.
- 13
Lee P.-C. and
Su H.-N., Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis, Innovations. (2010) 12, no. 1, 26–40, https://doi.org/10.5172/impp.12.1.26, 2-s2.0-78049499661.
10.5172/impp.12.1.26 Google Scholar
- 14 Chandra S. and Nagarajan M., Collaborative trend in indian tuberculosis research: a scientometric analysis, Asian Review of Social Sciences (ARSS). (2016) 7, no. 1, 1–17.
- 15 Sweileh W. M., AbuTaha A. S., Sawalha A. F., Al-Khalil S., Al-Jabi S. W., and Sa’ed H. Z., Bibliometric analysis of worldwide publications on multi-, extensively, and totally drug–resistant tuberculosis (2006–2015), Multidisciplinary Respiratory Medicine. (2016) 11, no. 1, https://doi.org/10.1186/s40248-016-0081-0, 2-s2.0-85008879555, 28096979.
- 16 Groneberg D A., Weber E., Gerber A., Fischer A., Klingelhoefer D., and Brueggmann D., Density equalizing mapping of the global tuberculosis research architecture, Tuberculosis. (2015) 95, no. 4, 515–522.
- 17 BdPFe F., Silva M. V. P., Araújo K. M., Sampaio R. B., and Moraes M. O., Network analysis for science and technology management: evidence from tuberculosis research in Fiocruz, Brazil, PLoS One. (2017) 12, no. 8, article e0181870, https://doi.org/10.1371/journal.pone.0181870, 2-s2.0-85027060939, 28792514.
- 18 Mongeon P. and Paul-Hus A., The journal coverage of Web of Science and Scopus: a comparative analysis, Scientometrics. (2016) 106, no. 1, 213–228, https://doi.org/10.1007/s11192-015-1765-5, 2-s2.0-84954384742.
- 19 Kulkarni A. V., Aziz B., Shams I., and Busse J. W., Comparisons of citations in web of science, Scopus, and Google scholar for articles published in general medical journals, Journal of the American Medical Association. (2009) 302, no. 10, 1092–1096, https://doi.org/10.1001/jama.2009.1307, 2-s2.0-70149091772, 19738094.
- 20 Aazami H., DehghanBanadaki H., Ejtahed H.-S., Fahimfar N., Razi F., Soroush A.-R., Hasani-Ranjbar S., Pasalar P., Ahmadi Badi S., Siadat S. D., and Larijani B., The landscape of microbiota research in Iran; a bibliometric and network analysis, Journal of Diabetes and Metabolic Disorders. (2020) 19, no. 1, 163–177, https://doi.org/10.1007/s40200-020-00488-2.
- 21 Mateu Arrom L., Huguet J., Errando C., Breda A., and Palou J., Como escribir un articulo original, Actas Urológicas Españolas (English Edition). (2018) 42, no. 9, 545–550, https://doi.org/10.1016/j.acuroe.2018.02.012.
- 22
N. Indurkhya and F. J. Damerau, Handbook of Natural Language Processing, 2010, Second Edition edition, Chapman and Hall/CRC, https://doi.org/10.1201/9781420085938.
10.1201/9781420085938 Google Scholar
- 23 Blei D. M., Probabilistic topic models, Communications of the ACM. (2012) 55, no. 4, 77–84, https://doi.org/10.1145/2133806.2133826, 2-s2.0-84861170800.
- 24
Wang M. and
Mengoni P., How pandemic spread in news: text analysis using topic model, 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2020, Melbourne, Australia, https://doi.org/10.1109/WIIAT50758.2020.00118.
10.1109/WIIAT50758.2020.00118 Google Scholar
- 25
Röder M.,
Both A., and
Hinneburg A., Exploring the space of topic coherence measures, Proceedings of the eighth ACM international conference on Web search and data mining, 2015, Shanghai China, https://doi.org/10.1145/2684822.2685324, 2-s2.0-84926673043.
10.1145/2684822.2685324 Google Scholar
- 26
Syed S. and
Spruit M., Full-text or abstract? examining topic coherence scores using latent dirichlet allocation, 2017 IEEE International conference on data science and advanced analytics (DSAA), 2017, Tokyo, Japan, https://doi.org/10.1109/DSAA.2017.61, 2-s2.0-85045455306.
10.1109/DSAA.2017.61 Google Scholar
- 27 Rehurek R. and Sojka P., Software framework for topic modelling with large corpora, Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, 2010, Citeseer.
- 28 Van Eck N. J. and Waltman L., Software survey: VOSviewer, a computer program for bibliometric mapping, Scientometrics. (2010) 84, no. 2, 523–538, https://doi.org/10.1007/s11192-009-0146-3, 2-s2.0-77953711904, 20585380.
- 29 Cardona G. and Sanz J. P., Analisis de publicaciones en el campo de las lentes de contacto: ¿cuales son las cuestiones de interes actuales?, Journal of Optometry. (2015) 8, no. 1, 33–39, https://doi.org/10.1016/j.optom.2014.02.003, 2-s2.0-84922979484, 25649639.
- 30 Khawbung J. L., Nath D., and Chakraborty S., Drug resistant tuberculosis: a review, Comparative Immunology, Microbiology and Infectious Diseases. (2021) 74, article 101574, https://doi.org/10.1016/j.cimid.2020.101574, 33249329.
- 31 Correa-Macedo W., Cambri G., and Schurr E., The interplay of human and mycobacterium tuberculosis genomic variability, Frontiers in Genetics. (2019) 10, https://doi.org/10.3389/fgene.2019.00865, 2-s2.0-85072890884.
- 32 Fassihi A., Azadpour Z., Delbari N., Saghaie L., Memarian H. R., Sabet R., Alborzi A., Miri R., Pourabbas B., Mardaneh J., Mousavi P., Moeinifard B., and Sadeghi-Aliabadi H., Synthesis and antitubercular activity of novel 4-substituted imidazolyl-2,6-dimethyl- N3, N5-bisaryl-1,4-dihydropyridine-3,5-dicarboxamides, European Journal of Medicinal Chemistry. (2009) 44, no. 8, 3253–3258, https://doi.org/10.1016/j.ejmech.2009.03.027, 2-s2.0-67349236409, 19371979.
- 33 Lee H. W. and Yim J.-J., A bibliometric analysis on tuberculosis research of Korea from 1979 to 2017, Journal of Korean Medical Science. (2019) 34, no. 11, https://doi.org/10.3346/jkms.2019.34.e95, 2-s2.0-85063484461.
- 34 Dastani M., Mardaneh J., and Pouresmaeil O., Detecting latent topics and trends in global publications on brucellosis disease using text mining, Interdisciplinary Perspectives on Infectious Diseases. (2022) 2022, 10, 7274734, https://doi.org/10.1155/2022/7274734.
- 35 Alizadeh S. A., Javadi A., Mardaneh J., Nasirian N., Alizadeh S., Mohammadbeigi M., and Heidarzadeh S., Development of a SYBR green multiplex real time PCR for simultaneous detection of Mycobacterium Tuberculosis and Nocardia Asteroides in respiratory samples, Ethiopian Journal of Health Sciences. (2021) 31, no. 2, 241–246, https://doi.org/10.4314/ejhs.v31i2.6, 34158775.
- 36
Aelami M. H.,
Alborzi A.,
Pouladfar G.,
Geramizadeh B.,
Pourabbas B., and
Mardaneh J., Post-vaccination disseminated bacillus Calmette Guérin infection among children in southern Iran, Jundishapur Journal of Microbiology. (2015) 11, no. 8, https://doi.org/10.5812/jjm.25663, 2-s2.0-84947931253.
10.5812/jjm.25663 Google Scholar
- 37 Daniel T. M., The history of tuberculosis, Respiratory Medicine. (2006) 100, no. 11, 1862–1870, https://doi.org/10.1016/j.rmed.2006.08.006, 2-s2.0-33749362302.
- 38 Singh S., Dey B., Sachdeva K., Kabra S., Chopra K., Chaudhary V. K., Sharma P., and Katoch V. M., Challenges in tuberculosis diagnosis and management: recommendations of the expert panel, Journal of Laboratory Physicians. (2015) 7, no. 1, 001–003, https://doi.org/10.4103/0974-2727.154778.
