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使用目标模型以及估计与预测软件包对印度三个邦1981年及以后的艾滋病毒流行情况进行拟合。

Fitting HIV Prevalence 1981 Onwards for Three Indian States Using the Goals Model and the Estimation and Projection Package.

作者信息

Bhatnagar Tarun, Dutta Tapati, Stover John, Godbole Sheela, Sahu Damodar, Boopathi Kangusamy, Bembalkar Shilpa, Singh Kh Jitenkumar, Goyal Rajat, Pandey Arvind, Mehendale Sanjay M

机构信息

National Institute of Epidemiology, Indian Council of Medical Research, Chennai, Tamil Nadu, India.

International AIDS Vaccine Initiative, New Delhi, India.

出版信息

PLoS One. 2016 Oct 6;11(10):e0164001. doi: 10.1371/journal.pone.0164001. eCollection 2016.

Abstract

Models are designed to provide evidence for strategic program planning by examining the impact of different interventions on projected HIV incidence. We employed the Goals Model to fit the HIV epidemic curves in Andhra Pradesh, Maharashtra and Tamil Nadu states of India where HIV epidemic is considered to have matured and in a declining phase. Input data in the Goals Model consisted of demographic, epidemiological, transmission-related and risk group wise behavioral parameters. The HIV prevalence curves generated in the Goals Model for each risk group in the three states were compared with the epidemic curves generated by the Estimation and Projection Package (EPP) that the national program is routinely using. In all the three states, the HIV prevalence trends for high-risk populations simulated by the Goals Model matched well with those derived using state-level HIV surveillance data in the EPP. However, trends for the low- and medium-risk populations differed between the two models. This highlights the need to generate more representative and robust data in these sub-populations and consider some structural changes in the modeling equation and parameters in the Goals Model to effectively use it to assess the impact of future strategies of HIV control in various sub-populations in India at the sub-national level.

摘要

模型旨在通过研究不同干预措施对预计的艾滋病毒发病率的影响,为战略规划提供依据。我们使用目标模型来拟合印度安得拉邦、马哈拉施特拉邦和泰米尔纳德邦的艾滋病毒流行曲线,这些邦的艾滋病毒流行被认为已成熟且处于下降阶段。目标模型中的输入数据包括人口统计学、流行病学、与传播相关的以及按风险群体划分的行为参数。将目标模型为这三个邦的每个风险群体生成的艾滋病毒流行率曲线,与国家项目常规使用的估计与预测软件包(EPP)生成的流行曲线进行比较。在所有这三个邦中,目标模型模拟的高危人群的艾滋病毒流行趋势与使用EPP中的州级艾滋病毒监测数据得出的趋势非常吻合。然而,两种模型在中低风险人群的趋势方面存在差异。这凸显了在这些亚人群中生成更具代表性和稳健性的数据的必要性,并考虑目标模型中建模方程和参数的一些结构变化,以便有效地利用该模型评估印度各邦层面不同亚人群中未来艾滋病毒控制策略的影响。

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