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Outlook for tuberculosis elimination in California: An individual-based stochastic model
RATIONALE: As part of the End TB Strategy, the World Health Organization calls for low-tuberculosis (TB) incidence settings to achieve pre-elimination (<10 cases per million) and elimination (<1 case per million) by 2035 and 2050, respectively. These targets require testing and treatment for l...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456190/ https://www.ncbi.nlm.nih.gov/pubmed/30964878 http://dx.doi.org/10.1371/journal.pone.0214532 |
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author | Goodell, Alex J. Shete, Priya B. Vreman, Rick McCabe, Devon Porco, Travis C. Barry, Pennan M. Flood, Jennifer Marks, Suzanne M. Hill, Andrew Cattamanchi, Adithya Kahn, James G. |
author_facet | Goodell, Alex J. Shete, Priya B. Vreman, Rick McCabe, Devon Porco, Travis C. Barry, Pennan M. Flood, Jennifer Marks, Suzanne M. Hill, Andrew Cattamanchi, Adithya Kahn, James G. |
author_sort | Goodell, Alex J. |
collection | PubMed |
description | RATIONALE: As part of the End TB Strategy, the World Health Organization calls for low-tuberculosis (TB) incidence settings to achieve pre-elimination (<10 cases per million) and elimination (<1 case per million) by 2035 and 2050, respectively. These targets require testing and treatment for latent tuberculosis infection (LTBI). OBJECTIVES: To estimate the ability and costs of testing and treatment for LTBI to reach pre-elimination and elimination targets in California. METHODS: We created an individual-based epidemic model of TB, calibrated to historical cases. We evaluated the effects of increased testing (QuantiFERON-TB Gold) and treatment (three months of isoniazid and rifapentine). We analyzed four test and treat targeting strategies: (1) individuals with medical risk factors (MRF), (2) non-USB, (3) both non-USB and MRF, and (4) all Californians. For each strategy, we estimated the effects of increasing test and treat by a factor of 2, 4, or 10 from the base case. We estimated the number of TB cases occurring and prevented, and net and incremental costs from 2017 to 2065 in 2015 U.S. dollars. Efficacy, costs, adverse events, and treatment dropout were estimated from published data. We estimated the cost per case averted and per quality-adjusted life year (QALY) gained. MEASUREMENTS AND MAIN RESULTS: In the base case, 106,000 TB cases are predicted to 2065. Pre-elimination was achieved by 2065 in three scenarios: a 10-fold increase in the non-USB and persons with MRF (by 2052), and 4- or 10-fold increase in all Californians (by 2058 and 2035, respectively). TB elimination was not achieved by any intervention scenario. The most aggressive strategy, 10-fold in all Californians, achieved a case rate of 8 (95% UI 4–16) per million by 2050. Of scenarios that reached pre-elimination, the incremental net cost was $20 billion (non-USB and MRF) to $48 billion. These had an incremental cost per QALY of $657,000 to $3.1 million. A more efficient but somewhat less effective single-lifetime test strategy reached as low as $80,000 per QALY. CONCLUSIONS: Substantial gains can be made in TB control in coming years by scaling-up current testing and treatment in non-USB and those with medical risks. |
format | Online Article Text |
id | pubmed-6456190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64561902019-05-03 Outlook for tuberculosis elimination in California: An individual-based stochastic model Goodell, Alex J. Shete, Priya B. Vreman, Rick McCabe, Devon Porco, Travis C. Barry, Pennan M. Flood, Jennifer Marks, Suzanne M. Hill, Andrew Cattamanchi, Adithya Kahn, James G. PLoS One Research Article RATIONALE: As part of the End TB Strategy, the World Health Organization calls for low-tuberculosis (TB) incidence settings to achieve pre-elimination (<10 cases per million) and elimination (<1 case per million) by 2035 and 2050, respectively. These targets require testing and treatment for latent tuberculosis infection (LTBI). OBJECTIVES: To estimate the ability and costs of testing and treatment for LTBI to reach pre-elimination and elimination targets in California. METHODS: We created an individual-based epidemic model of TB, calibrated to historical cases. We evaluated the effects of increased testing (QuantiFERON-TB Gold) and treatment (three months of isoniazid and rifapentine). We analyzed four test and treat targeting strategies: (1) individuals with medical risk factors (MRF), (2) non-USB, (3) both non-USB and MRF, and (4) all Californians. For each strategy, we estimated the effects of increasing test and treat by a factor of 2, 4, or 10 from the base case. We estimated the number of TB cases occurring and prevented, and net and incremental costs from 2017 to 2065 in 2015 U.S. dollars. Efficacy, costs, adverse events, and treatment dropout were estimated from published data. We estimated the cost per case averted and per quality-adjusted life year (QALY) gained. MEASUREMENTS AND MAIN RESULTS: In the base case, 106,000 TB cases are predicted to 2065. Pre-elimination was achieved by 2065 in three scenarios: a 10-fold increase in the non-USB and persons with MRF (by 2052), and 4- or 10-fold increase in all Californians (by 2058 and 2035, respectively). TB elimination was not achieved by any intervention scenario. The most aggressive strategy, 10-fold in all Californians, achieved a case rate of 8 (95% UI 4–16) per million by 2050. Of scenarios that reached pre-elimination, the incremental net cost was $20 billion (non-USB and MRF) to $48 billion. These had an incremental cost per QALY of $657,000 to $3.1 million. A more efficient but somewhat less effective single-lifetime test strategy reached as low as $80,000 per QALY. CONCLUSIONS: Substantial gains can be made in TB control in coming years by scaling-up current testing and treatment in non-USB and those with medical risks. Public Library of Science 2019-04-09 /pmc/articles/PMC6456190/ /pubmed/30964878 http://dx.doi.org/10.1371/journal.pone.0214532 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Goodell, Alex J. Shete, Priya B. Vreman, Rick McCabe, Devon Porco, Travis C. Barry, Pennan M. Flood, Jennifer Marks, Suzanne M. Hill, Andrew Cattamanchi, Adithya Kahn, James G. Outlook for tuberculosis elimination in California: An individual-based stochastic model |
title | Outlook for tuberculosis elimination in California: An individual-based stochastic model |
title_full | Outlook for tuberculosis elimination in California: An individual-based stochastic model |
title_fullStr | Outlook for tuberculosis elimination in California: An individual-based stochastic model |
title_full_unstemmed | Outlook for tuberculosis elimination in California: An individual-based stochastic model |
title_short | Outlook for tuberculosis elimination in California: An individual-based stochastic model |
title_sort | outlook for tuberculosis elimination in california: an individual-based stochastic model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456190/ https://www.ncbi.nlm.nih.gov/pubmed/30964878 http://dx.doi.org/10.1371/journal.pone.0214532 |
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