{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T08:09:50Z","timestamp":1789805390689,"version":"4.0.1"},"reference-count":44,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["INQUIRY"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Antibiotic-resistant brucellosis poses a growing challenge at the intersection of antibiotic resistance, zoonotic disease control, and public health. To address the lack of a systematic understanding of how research priorities in the field have evolved, this study conducts a large-scale structural and content analysis of the scientific literature to map thematic distributions, temporal trends, and underexplored research areas.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data were extracted from the Scopus database, encompassing 419 scientific articles. After excluding missing data, 360 articles were selected for analysis. The data processing involved text cleansing, lemmatization, and the creation of bigrams and trigrams. The Latent Dirichlet Allocation (LDA) model was utilized to identify themes, and the optimal number of topics was established through the Coherence Score metric. The visualization of results encompassed various methods, including Word Cloud diagrams, topic distribution graphs, and a heatmap illustrating cluster similarities.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Scientific output on antibiotic-resistant brucellosis began in 1953 and showed a marked increase after 2010, peaking in 2023. LDA topic modeling identified seven thematic clusters, with the highest concentration of publications in genetics-related resistance, treatment strategies, and\n                      <jats:italic toggle=\"yes\">Brucella<\/jats:italic>\n                      strain diversity. The strongest thematic similarity was observed between genetic resistance and strain diversity clusters (similarity score = 0.40), while public health\u2013focused research showed minimal overlap with genetic studies (similarity score = 0.04). Temporal analysis indicated a growing emphasis on genetically oriented research after 2010, whereas public health and zoonotic disease control showed highly scattered and minimal activity.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The analysis highlights a research landscape, with prevention, vaccination, surveillance, and policy-oriented studies remaining underrepresented, while identifying priority directions for future research, including targeted genomics, novel therapeutic approaches, and One Health\u2013based surveillance.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/00469580261486796","type":"journal-article","created":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T20:37:38Z","timestamp":1789591058000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Mapping the Global Landscape of Antibiotic-Resistant Brucellosis Research: An LDA Topic Modeling and Text Analysis"],"prefix":"10.1177","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5631-539X","authenticated-orcid":false,"given":"Meisam","family":"Dastani","sequence":"first","affiliation":[{"name":"Gonabad University of Medical Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jalal","family":"Mardaneh","sequence":"additional","affiliation":[{"name":"Gonabad University of Medical Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3639-8474","authenticated-orcid":false,"given":"Morteza","family":"Rostamian","sequence":"additional","affiliation":[{"name":"Gonabad University of Medical Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,9,16]]},"reference":[{"key":"e_1_3_7_2_2","doi-asserted-by":"publisher","DOI":"10.1080\/07853890.2023.2295398"},{"key":"e_1_3_7_3_2","doi-asserted-by":"publisher","DOI":"10.3201\/eid2909.230052"},{"key":"e_1_3_7_4_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12889-017-5016-y"},{"key":"e_1_3_7_5_2","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2024.1474957"},{"key":"e_1_3_7_6_2","first-page":"1215789","article-title":"Molecular characterization and antimicrobial susceptibility of human Brucella in Northeast China","volume":"14","author":"Ma HR","year":"2023","unstructured":"Ma HR, Xu HJ, Wang X, et al. Molecular characterization and antimicrobial susceptibility of human Brucella in Northeast China. Front Microbiol. 2023;14:1215789.","journal-title":"Front Microbiol"},{"key":"e_1_3_7_7_2","doi-asserted-by":"publisher","DOI":"10.1177\/003335491212700103"},{"key":"e_1_3_7_8_2","doi-asserted-by":"publisher","DOI":"10.1637\/11413-032416-Review.1"},{"key":"e_1_3_7_9_2","volume-title":"Stop using antibiotics in healthy animals to prevent the spread of antibiotic resistance","author":"World Health Organization","year":"2017","unstructured":"World Health Organization. Stop using antibiotics in healthy animals to prevent the spread of antibiotic resistance. World Health Organization Media Center; 2017."},{"key":"e_1_3_7_10_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12879-016-1810-x"},{"key":"e_1_3_7_11_2","doi-asserted-by":"publisher","DOI":"10.1186\/s40001-021-00527-5"},{"key":"e_1_3_7_12_2","doi-asserted-by":"publisher","DOI":"10.2147\/IDR.S276975"},{"key":"e_1_3_7_13_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12866-021-02287-y"},{"key":"e_1_3_7_14_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-75914-9"},{"key":"e_1_3_7_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aquaculture.2021.737643"},{"key":"e_1_3_7_16_2","doi-asserted-by":"publisher","DOI":"10.1111\/tbed.14502"},{"key":"e_1_3_7_17_2","doi-asserted-by":"publisher","DOI":"10.1089\/vbz.2023.0063"},{"key":"e_1_3_7_18_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0011590"},{"key":"e_1_3_7_19_2","doi-asserted-by":"publisher","DOI":"10.30699\/ijmm.16.4.336"},{"key":"e_1_3_7_20_2","doi-asserted-by":"publisher","DOI":"10.1108\/LHT-09-2020-0216"},{"key":"e_1_3_7_21_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12913-024-11209-3"},{"key":"e_1_3_7_22_2","doi-asserted-by":"publisher","DOI":"10.2147\/IJGM.S450876"},{"key":"e_1_3_7_23_2","doi-asserted-by":"publisher","DOI":"10.1080\/17483107.2024.2387101"},{"key":"e_1_3_7_24_2","doi-asserted-by":"publisher","DOI":"10.5530\/jscires.12.2.037"},{"key":"e_1_3_7_25_2","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/7274734"},{"key":"e_1_3_7_26_2","first-page":"8039046","article-title":"Topic analysis and mapping of tuberculosis research using text mining and co-word analysis","volume":"2022","author":"Dastani M","year":"2022","unstructured":"Dastani M, Mohammadzadeh A, Mardaneh J, Ahmadi R. Topic analysis and mapping of tuberculosis research using text mining and co-word analysis. Tuberc Res Treat. 2022;2022:8039046.","journal-title":"Tuberc Res Treat"},{"key":"e_1_3_7_27_2","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2025.1617217"},{"key":"e_1_3_7_28_2","doi-asserted-by":"publisher","DOI":"10.4314\/sajas.v54i3.09"},{"key":"e_1_3_7_29_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-021-03948-5"},{"key":"e_1_3_7_30_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13643-023-02410-2"},{"issue":"1","key":"e_1_3_7_31_2","first-page":"1757","article-title":"A scoping review of preprocessing methods for unstructured text data to assess data quality","volume":"7","author":"Nesca M","year":"2022","unstructured":"Nesca M, Katz A, Leung CK, Lix LM. A scoping review of preprocessing methods for unstructured text data to assess data quality. Int J Popul Data Sci. 2022;7(1):1757.","journal-title":"Int J Popul Data Sci"},{"key":"e_1_3_7_32_2","doi-asserted-by":"crossref","unstructured":"Pramana R Subroto JJ Gunawan AA. Systematic literature review of stemming and lemmatization performance for sentence similarity. 2022 IEEE 7th International Conference on Information Technology and Digital Applications (ICITDA). IEEE; 2022:1-6.","DOI":"10.1109\/ICITDA55840.2022.9971451"},{"key":"e_1_3_7_33_2","doi-asserted-by":"crossref","unstructured":"Syed S 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). IEEE; 2017:165-174.","DOI":"10.1109\/DSAA.2017.61"},{"key":"e_1_3_7_34_2","first-page":"2766701","article-title":"Effective techniques for handling missing values in thyroid disease diagnosis: a comparative analysis","volume":"2025","author":"Saleh DS","year":"2025","unstructured":"Saleh DS, Othman MS, Khudhur WO, Aljabarti EA. Effective techniques for handling missing values in thyroid disease diagnosis: a comparative analysis. Appl Comput Intell Soft Comput. 2025;2025:2766701.","journal-title":"Appl Comput Intell Soft Comput"},{"key":"e_1_3_7_35_2","doi-asserted-by":"crossref","unstructured":"Gu X Chen Y Shen X He C Yan Y. Identifying chronic disease themes research on social networks based on artificial intelligence and big data. Proceedings of the 2025 6th International Conference on Computer Information and Big Data Applications. ACM; 2025:1037-1041.","DOI":"10.1145\/3746709.3746885"},{"key":"e_1_3_7_36_2","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2025.1629008"},{"key":"e_1_3_7_37_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0012630"},{"key":"e_1_3_7_38_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2022.889854"},{"key":"e_1_3_7_39_2","doi-asserted-by":"publisher","DOI":"10.1080\/10408398.2010.519837"},{"key":"e_1_3_7_40_2","doi-asserted-by":"publisher","DOI":"10.3390\/antibiotics11081012"},{"key":"e_1_3_7_41_2","doi-asserted-by":"publisher","DOI":"10.1093\/femsre\/fux004"},{"key":"e_1_3_7_42_2","doi-asserted-by":"publisher","DOI":"10.3390\/pathogens9070522"},{"key":"e_1_3_7_43_2","doi-asserted-by":"publisher","DOI":"10.3390\/pathogens12010082"},{"issue":"2","key":"e_1_3_7_44_2","first-page":"114","article-title":"Antimicrobial resistance induced by genetic changes","volume":"2","author":"Coculescu BI","year":"2009","unstructured":"Coculescu BI. Antimicrobial resistance induced by genetic changes. J Med Life. 2009;2(2):114-123.","journal-title":"J Med Life"},{"issue":"1","key":"e_1_3_7_45_2","first-page":"2312953","article-title":"Review of antibiotic-resistant bacteria and antibiotic resistance genes within the one health framework","volume":"14","author":"Ajayi AO","year":"2024","unstructured":"Ajayi AO, Odeyemi AT, Akinjogunla OJ, Adeyeye AB, Ayo-Ajayi I. Review of antibiotic-resistant bacteria and antibiotic resistance genes within the one health framework. Infect Ecol Epidemiol. 2024;14(1):2312953.","journal-title":"Infect Ecol Epidemiol"}],"container-title":["INQUIRY: The Journal of Health Care Organization, Provision, and Financing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/00469580261486796","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/00469580261486796","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/00469580261486796","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T07:19:46Z","timestamp":1789802386000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/00469580261486796"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":44,"alternative-id":["10.1177\/00469580261486796"],"URL":"https:\/\/doi.org\/10.1177\/00469580261486796","relation":{},"ISSN":["0046-9580","1945-7243"],"issn-type":[{"value":"0046-9580","type":"print"},{"value":"1945-7243","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]},"article-number":"00469580261486796"}}