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Modelling Reporting Delays in a Multilevel Structured Surveillance System - Application to Portuguese HIV-AIDS Data

机译:在多级结构监测系统中建模报告延迟 - 葡萄牙艾滋病毒艾滋病数据的应用

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In a deeply interconnected world of people and goods, infectious diseases constitute a serious threat. An active vigilance is required. The collection of adequate data is vital and coordinated by surveillance systems. It is widely-acknowledged that every case-reporting system has some degree of under-reporting and reporting delay in particular in HIVAIDS Portuguese Surveillance System. To better understand the processes generating the reporting delays, which is an administrative process, it was used a flexible continuous time fully parametric survival analysis approach. It was taken into consideration the hierarchical administrative and organizational structure of the system as well as the relevant changes in the procedures throughout the time. The best multilevel structure to represent reporting delays in continuous time is the model where the individuals are nested into Reporting Entities (20.24% of the variance) which are nested into Type of services (8% of the variance) with the log-normal distribution.
机译:在深受互联的人和货物世界中,传染病构成了严重的威胁。需要积极的警惕。充足数据的收集是至关重要的,由监控系统协调。众所周知,每种情况报告系统都有一定程度的报告下的报告和报告延迟,特别是在臭病毒葡萄牙监测系统中。为了更好地了解生成报告延迟的过程,这是一个管理过程,它被使用了灵活的连续时间全部参数上生存分析方法。考虑到系统的分层行政和组织结构以及遍布整个时间的相关变更。最佳多级结构以连续时间表示报告延迟的是嵌套在报告实体(20.24%的方差)中的模型,这些模型嵌套成具有日志正态分布的服​​务类型(差异的8%)。

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