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Strategies for tuberculosis control in prisons

监狱结核病控制策略

基本信息

批准号：
10607550
负责人：
Jason Randolph Andrews
金额：
$ 63.77万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-03-01 至 2028-02-29
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10607550
关键词：
Acceleration Address Algorithms Americas Benchmarking Biological Markers Blood Brazil COVID-19 COVID-19 pandemic Cause of Death Cessation of life Cohort Studies Communicable Diseases Communities Conscious Country Data Detection Digital Radiography Digital X-Ray Disease Electricity Enrollment Epidemic Future Gene Expression Profiling Genomics Goals Haplotypes Health Health protection Image Immune response Imprisonment Incidence Individual Infection Longitudinal cohort Longitudinal trends Low Dose Radiation Mass Screening Measures Methods Molecular Monitor Mycobacterium tuberculosis Notification Participant Persons Population Population Sizes Prevalence Prevention Prevention Measures Preventive therapy Prisons Recommendation Resource-limited setting Risk Roentgen Rays Sampling Specificity Sputum System Testing Thoracic Radiography Time Tuberculosis Tuberculosis diagnosis Validation Work case finding cohort cost cost effective cost effectiveness deep learning deep learning algorithm density diagnostic accuracy effective therapy genome sequencing genomic data high risk high risk population improved low and middle-income countries mathematical model mortality new technology novel novel strategies portability prevent progression risk screening sobriety success tool transmission process trend virtual whole genome

项目摘要

Project Summary Tuberculosis remains one of the leading causes of death worldwide, despite the widespread availability of effective treatment and prevention measures. Prisons harbor among the highest rates of tuberculosis worldwide, and, in many regions, tuberculosis burden in correctional settings is growing. The WHO now recommends active case finding for tuberculosis in prisons and other high burden settings, but there is a dearth of evidence for how to accurate and efficiently identify cases early to reduce transmission. To address these gaps, we propose to a prospect cohort study among incarcerated individuals in high tuberculosis burden prisons in Central Western Brazil to: 1) evaluate the use of portable, digital x-rays with automated interpretation for intensive case finding; 2) determine whether genomic data can be used to track transmission rates at the population level; and 3) use mathematical models to identify effective, scalable strategies for tuberculosis case finding and prevention in prisons. We will test the hypotheses that: 1) x-ray with automated interpretation can achieve WHO target product profile thresholds for accuracy as a screening test among incarcerated individuals, even among those with asymptomatic or early disease; 2) emerging phylodynamic methods can be used to monitor trends in transmission; and 3) serial screening combined with preventive therapy would be a cost-effective and impactful approach for tuberculosis control in high-burden prisons globally. Overall, this project will address critical gaps in tuberculosis diagnosis and prevention among a large, underserved, high-risk population, to protect their health and the health of their communities.

项目总结