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EXPLORING THE EPIDEMIOLOGICAL IMPACT OF UNIVERSAL ACCESS TO RAPID TUBERCULOSIS DIAGNOSIS USING AGENT-BASED SIMULATION
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kasaie, Parastu | - |
dc.contributor.author | Sohn, Hojoon | - |
dc.contributor.author | Kendall, Emily | - |
dc.contributor.author | Gomez, Gabriela B. | - |
dc.contributor.author | Vassall, Anna | - |
dc.contributor.author | Pai, Madhukar | - |
dc.contributor.author | Dowdy, David W. | - |
dc.date.accessioned | 2024-05-14T04:35:18Z | - |
dc.date.available | 2024-05-14T04:35:18Z | - |
dc.date.created | 2024-05-14 | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | 2017 WINTER SIMULATION CONFERENCE (WSC), pp.1097-1108 | - |
dc.identifier.issn | 0891-7736 | - |
dc.identifier.uri | https://hdl.handle.net/10371/201764 | - |
dc.description.abstract | Many high-burden countries have committed to providing universal access to rapid diagnosis of tuberculosis (TB), but the corresponding impact on population-wide incidence is unknown. We designed an agent-based simulation of drug-susceptible (DS) and drug-resistant (DR) TB in a representative Indian setting and compared the impact of Xpert testing via a decentralized (Xpert available at each local-population) versus centralized (Xpert available at the district-level serving multiple local-populations) strategy. Decentralized testing resulted in a 36% reduction in DR-TB incidence at 10 years compared to no Xpert. Depending on assumptions regarding pre-treatment loss to follow-up (ranging from 5 to 50%), the impact of centralized testing ranged from a 35% to 22% reduction in DR-TB incidence. Implementation of Xpert by either approach had a negligible impact (<5%) on DS-TB incidence. Decisions regarding choice of centralized vs. decentralized Xpert will heavily depend on operational aspects of centralized Xpert and loss to follow-up. | - |
dc.language | 영어 | - |
dc.publisher | IEEE | - |
dc.title | EXPLORING THE EPIDEMIOLOGICAL IMPACT OF UNIVERSAL ACCESS TO RAPID TUBERCULOSIS DIAGNOSIS USING AGENT-BASED SIMULATION | - |
dc.type | Article | - |
dc.citation.journaltitle | 2017 WINTER SIMULATION CONFERENCE (WSC) | - |
dc.identifier.wosid | 000427768601024 | - |
dc.identifier.scopusid | 2-s2.0-85044502818 | - |
dc.citation.endpage | 1108 | - |
dc.citation.startpage | 1097 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Sohn, Hojoon | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | INCOME COUNTRIES | - |
dc.subject.keywordPlus | NATURAL-HISTORY | - |
dc.subject.keywordPlus | FOLLOW-UP | - |
dc.subject.keywordPlus | REINFECTION | - |
dc.subject.keywordPlus | MTB/RIF | - |
dc.subject.keywordPlus | METAANALYSIS | - |
dc.subject.keywordPlus | RESISTANCE | - |
dc.subject.keywordPlus | INFECTION | - |
dc.subject.keywordPlus | DISEASE | - |
dc.subject.keywordPlus | MODEL | - |
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