<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Jo Y</submitter><funding>Centers for Disease Control and Prevention</funding><funding>National Center for HIV/AIDS, Viral Hepatitis, STD</funding><funding>Prevention Epidemiologic and Economic Modeling</funding><funding>NCHHSTP CDC HHS</funding><funding>Intramural CDC HHS</funding><funding>CDC HHS</funding><pagination>e3476-e3482</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8077726</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>73(9)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Targeted testing and treatment (TTT) for latent tuberculosis (TB) infection (LTBI) is a recommended strategy to accelerate TB reductions and further TB elimination in the United States. Evidence on cost-effectiveness of TTT for key populations can help advance this goal.&lt;h4>Methods&lt;/h4>We used a model of TB transmission to estimate the numbers of individuals who could be tested by interferon-γ release assay and treated for LTBI with 3 months of self-administered rifapentine and isoniazid (3HP) under various TTT scenarios. Specifically, we considered rapidly scaling up TTT among people who are non-US-born, diabetic, living with human immunodeficiency virus (HIV), homeless or incarcerated in California, Florida, New York, and Texas-states where more than half of US TB case</pubmed_abstract><journal>Clinical infectious diseases : an official publication of the Infectious Diseases Society of America</journal><pubmed_title>Model-based Cost-effectiveness of State-level Latent Tuberculosis Interventions in California, Florida, New York, and Texas.</pubmed_title><pmcid>PMC8077726</pmcid><funding_grant_id>CC999999</funding_grant_id><funding_grant_id>5U38PS004646</funding_grant_id><funding_grant_id>U38 PS004646</funding_grant_id><pubmed_authors>Hill A</pubmed_authors><pubmed_authors>Marks S</pubmed_authors><pubmed_authors>Dowdy D</pubmed_authors><pubmed_authors>Asay G</pubmed_authors><pubmed_authors>Jo Y</pubmed_authors><pubmed_authors>Shrestha S</pubmed_authors><pubmed_authors>Gomes I</pubmed_authors></additional><is_claimable>false</is_claimable><name>Model-based Cost-effectiveness of State-level Latent Tuberculosis Interventions in California, Florida, New York, and Texas.</name><description>&lt;h4>Background&lt;/h4>Targeted testing and treatment (TTT) for latent tuberculosis (TB) infection (LTBI) is a recommended strategy to accelerate TB reductions and further TB elimination in the United States. Evidence on cost-effectiveness of TTT for key populations can help advance this goal.&lt;h4>Methods&lt;/h4>We used a model of TB transmission to estimate the numbers of individuals who could be tested by interferon-γ release assay and treated for LTBI with 3 months of self-administered rifapentine and isoniazid (3HP) under various TTT scenarios. Specifically, we considered rapidly scaling up TTT among people who are non-US-born, diabetic, living with human immunodeficiency virus (HIV), homeless or incarcerated in California, Florida, New York, and Texas-states where more than half of US TB case</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Nov</publication><modification>2025-04-29T11:31:00.641Z</modification><creation>2025-04-06T19:54:14.566Z</creation></dates><accession>S-EPMC8077726</accession><cross_references><pubmed>32584968</pubmed><doi>10.1093/cid/ciaa857</doi></cross_references></HashMap>