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Lessons from previous predictions of HIV/AIDS in the United States and Japan: epidemiologic models and policy formulation

机译:美国和日本先前对艾滋病毒/艾滋病的预测经验教训:流行病学模型和政策制定

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This paper critically discusses two previous studies concerned with predictions of HIV/AIDS in the United States and Japan during the early 1990s. Although the study in the US applied a historical theory, assuming normal distribution for the epidemic curve, the underlying infection process was not taken into account. In the Japan case, the true HIV incidence was estimated using the coverage ratio of previously diagnosed/undiagnosed HIV infections among AIDS cases, the assumptions of which were not supported by a firm theoretical understanding. At least partly because of failure to account for underlying mechanisms of the disease and its transmission, both studies failed to yield appropriate predictions of the future AIDS incidence. Further, in the Japan case, the importance of consistent surveillance data was not sufficiently emphasized or openly discussed and, because of this, revision of the AIDS reporting system has made it difficult to determine the total number of AIDS cases and apply a backcalculation method. Other widely accepted approaches can also fail to provide perfect predictions. Nevertheless, wrong policy direction could arise if we ignore important assumptions, methods and input data required to answer specific questions. The present paper highlights the need for appropriate assessment of specific modeling purposes and explicit listing of essential information as well as possible solutions to aid relevant policy formulation.
机译:本文批判性地讨论了先前两个关于1990年代初在美国和日本的HIV / AIDS预测的研究。尽管在美国的研究采用了历史理论,但假设流行曲线呈正态分布,但并未考虑潜在的感染过程。在日本的病例中,使用先前诊断/未诊断的HIV感染病例在AIDS病例中的覆盖率估算了艾滋病毒的真实发病率,其假设没有坚实的理论理解。至少部分是由于未能解释该疾病及其传播的潜在机制,两项研究均未能对未来的艾滋病发病率做出适当的预测。此外,在日本案件中,没有充分强调或公开讨论一致的监测数据的重要性,因此,对艾滋病报告系统的修订使确定艾滋病病例总数和采用反算方法变得困难。其他广泛接受的方法也可能无法提供完美的预测。但是,如果我们忽略了回答特定问题所需的重要假设,方法和输入数据,则可能会出现错误的政策方向。本文强调需要对特定建模目的进行适当评估,并显式列出必要信息以及可能的解决方案,以帮助制定相关政策。

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