{"doi":"10.1128/jcm.02289-08","title":"Potential of Rapid Diagnosis for Controlling Drug-Susceptible and Drug-Resistant Tuberculosis in Communities Where\n            <i>Mycobacterium tuberculosis</i>\n            Infections Are Highly Prevalent","abstract":"<jats:title>ABSTRACT</jats:title>\n          <jats:p>\n            The long-term persistence of\n            <jats:italic>Mycobacterium tuberculosis</jats:italic>\n            in communities with high tuberculosis prevalence is a serious problem aggravated by the presence of drug-resistant tuberculosis strains. Drug resistance in an individual patient is often discovered only after a long delay, particularly if the diagnosis is based on current culture-based drug sensitivity testing methods. During such delays, the patient may transmit tuberculosis to his or her contacts. Rapid diagnosis of drug resistance would be expected to reduce this transmission and hence to decrease the prevalence of drug-resistant strains. To investigate this quantitatively, a mathematical model was constructed, assuming a homogeneous population structure typical of communities in South Africa where tuberculosis incidence is high. Computer simulations performed with this model showed that current control strategies will not halt the spread of multidrug-resistant tuberculosis in such communities. The simulations showed that the rapid diagnosis of drug resistance can be expected to reduce the incidence of drug-resistant cases provided the additional measure of screening within the community is implemented.\n          </jats:p>","journal":"Journal of Clinical Microbiology","year":2009,"id":595283,"datarank":0.5676284450877392,"base_score":3.784189633918261,"endowment":3.784189633918261,"self_citation_contribution":0.5676284450877392,"citation_network_contribution":0.0,"self_endowment_contribution":0.5676284450877392,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":43,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1524282,"name":"Robin Warren","orcid":null,"position":1,"is_corresponding":false},{"id":441818,"name":"Paul D. van Helden","orcid":"0000-0002-1557-2496","position":2,"is_corresponding":false},{"id":231936,"name":"Megan Murray","orcid":"0000-0003-0443-1986","position":3,"is_corresponding":false},{"id":442768,"name":"Thomas C. Victor","orcid":null,"position":4,"is_corresponding":false},{"id":1524280,"name":"Pieter W. Uys","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Potential of Rapid Diagnosis for Controlling Drug-Susceptible and Drug-Resistant Tuberculosis in Communities Where\n            <i>Mycobacterium tuberculosis</i>\n            Infections Are Highly Prevalent","abstract":"<jats:title>ABSTRACT</jats:title>\n          <jats:p>\n            The long-term persistence of\n            <jats:italic>Mycobacterium tuberculosis</jats:italic>\n            in communities with high tuberculosis prevalence is a serious problem aggravated by the presence of drug-resistant tuberculosis strains. Drug resistance in an individual patient is often discovered only after a long delay, particularly if the diagnosis is based on current culture-based drug sensitivity testing methods. During such delays, the patient may transmit tuberculosis to his or her contacts. Rapid diagnosis of drug resistance would be expected to reduce this transmission and hence to decrease the prevalence of drug-resistant strains. To investigate this quantitatively, a mathematical model was constructed, assuming a homogeneous population structure typical of communities in South Africa where tuberculosis incidence is high. Computer simulations performed with this model showed that current control strategies will not halt the spread of multidrug-resistant tuberculosis in such communities. The simulations showed that the rapid diagnosis of drug resistance can be expected to reduce the incidence of drug-resistant cases provided the additional measure of screening within the community is implemented.\n          </jats:p>","is_dataset_classified":null,"base_score":3.784189633918261,"endowment":3.784189633918261,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19297604","pmcid":"PMC2681859","openalex_id":"https://openalex.org/W1983144055","authors":[],"funders":[],"total_grants":0,"fwci":1.6466,"citation_percentile":0.81669031,"influential_citations":0,"citation_trend":[{"year":2012,"count":4},{"year":2013,"count":3},{"year":2014,"count":2},{"year":2015,"count":2},{"year":2016,"count":2},{"year":2017,"count":4},{"year":2018,"count":5},{"year":2019,"count":3},{"year":2020,"count":6},{"year":2021,"count":2},{"year":2022,"count":1},{"year":2023,"count":1},{"year":2024,"count":1},{"year":2025,"count":1}],"oa_status":"bronze","license":"cc-by","oa_locations":[{"url":"https://jcm.asm.org/content/jcm/47/5/1484.full.pdf","host_type":"journal"},{"url":"https://jcm.asm.org/content/jcm/47/5/1484.full.pdf","host_type":"publisher"},{"url":"https://journals.asm.org/doi/pdf/10.1128/JCM.02289-08","host_type":"publisher"},{"url":"https://doi.org/10.1128/jcm.02289-08","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/19297604","host_type":"repository"},{"url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:41483325","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2681859","host_type":"repository"},{"url":"http://hdl.handle.net/10019.1/10106","host_type":"repository"}],"fields_of_study":["Tuberculosis Research and Epidemiology","Pneumonia and Respiratory Infections","Mycobacterium research and diagnosis"],"mesh_terms":["Computer Simulation","Humans","Microbial Sensitivity Tests","Models, Theoretical","Mycobacterium tuberculosis","South Africa","Time Factors","Tuberculosis, Multidrug-Resistant","Drug Resistance, Multiple, Bacterial"],"keywords":["Tuberculosis","Mycobacterium tuberculosis","Drug resistance","Drug","Medicine","Transmission (telecommunications)","Incidence (geometry)","Population","Extensively drug-resistant tuberculosis","Immunology","Intensive care medicine","Biology","Environmental health","Microbiology","Pharmacology","Pathology","Computer science"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-27T17:04:52.146720Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}