<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Vynnycky E</submitter><funding>Medical Research Council</funding><funding>National Institute for Health Research (NIHR)</funding><funding>Wellcome Trust</funding><funding>PHS HHS</funding><pagination>619-32</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4388015</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>181(8)</volume><pubmed_abstract>A recent major cluster randomized trial of screening, active disease treatment, and mass isoniazid preventive therapy for 9 months during 2006-2011 among South African gold miners showed reduced individual-level tuberculosis incidence but no detectable population-level impact. We fitted a dynamic mathematical model to trial data and explored 1) factors contributing to the lack of population-level impact, 2) the best-achievable impact if all implementation characteristics were increased to the highest level achieved during the trial ("optimized intervention"), and 3) how tuberculosis might be better controlled with additional interventions (improving diagnostics, reducing treatment delay, providing isoniazid preventive therapy continuously to human immunodeficiency virus-positive people, or</pubmed_abstract><journal>American journal of epidemiology</journal><pubmed_title>Tuberculosis control in South African gold mines: mathematical modeling of a trial of community-wide isoniazid preventive therapy.</pubmed_title><pmcid>PMC4388015</pmcid><funding_grant_id>091769</funding_grant_id><funding_grant_id>PHCS/03/01</funding_grant_id><funding_grant_id>100714</funding_grant_id><funding_grant_id>MR/K012126/1</funding_grant_id><funding_grant_id>G0700837</funding_grant_id><funding_grant_id>WT091769</funding_grant_id><funding_grant_id>MR/K007467/1</funding_grant_id><funding_grant_id>5U2GPS0008111</funding_grant_id><funding_grant_id>G0802414</funding_grant_id><pubmed_authors>Corbett EL</pubmed_authors><pubmed_authors>White RG</pubmed_authors><pubmed_authors>Vynnycky E</pubmed_authors><pubmed_authors>Lewis JJ</pubmed_authors><pubmed_authors>Cox AP</pubmed_authors><pubmed_authors>Grant AD</pubmed_authors><pubmed_authors>Hayes RJ</pubmed_authors><pubmed_authors>Fielding KL</pubmed_authors><pubmed_authors>Sumner T</pubmed_authors><pubmed_authors>Churchyard GJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Tuberculosis control in South African gold mines: mathematical modeling of a trial of community-wide isoniazid preventive therapy.</name><description>A recent major cluster randomized trial of screening, active disease treatment, and mass isoniazid preventive therapy for 9 months during 2006-2011 among South African gold miners showed reduced individual-level tuberculosis incidence but no detectable population-level impact. We fitted a dynamic mathematical model to trial data and explored 1) factors contributing to the lack of population-level impact, 2) the best-achievable impact if all implementation characteristics were increased to the highest level achieved during the trial ("optimized intervention"), and 3) how tuberculosis might be better controlled with additional interventions (improving diagnostics, reducing treatment delay, providing isoniazid preventive therapy continuously to human immunodeficiency virus-positive people, or</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015 Apr</publication><modification>2025-04-19T02:53:27.503Z</modification><creation>2019-03-27T01:49:32Z</creation></dates><accession>S-EPMC4388015</accession><cross_references><pubmed>25792607</pubmed><doi>10.1093/aje/kwu320</doi></cross_references></HashMap>