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模拟艾滋病毒对南非和博茨瓦纳人口的影响。

Modelling the impact of HIV on the populations of South Africa and Botswana.

作者信息

Viljoen T, Spoelstra J, Hemerik L, Molenaar J

机构信息

Department of Mathematics and Applied Mathematics, North-West University, Potchefstroom, 2531, South Africa,

出版信息

Acta Biotheor. 2014 Mar;62(1):91-108. doi: 10.1007/s10441-014-9210-3. Epub 2014 Jan 19.

Abstract

We develop and use mathematical models that describe changes in the South African population over the last decades, brought on by HIV and AIDS. We do not model all the phases in HIV progression but rather, we show that a relatively simple model is sufficient to represent the data and allows us to investigate important aspects of HIV infection: firstly, we are able to investigate the effect of awareness on the prevalence of HIV and secondly, it enables us to make a comparison between South Africa and Botswana. A comparison is made between two models: a model that does not reflect awareness of the devastating impact of HIV and AIDS, and a model with an added psychological awareness factor. Both models are fitted to data that reflects the incidence of HIV and AIDS within South Africa. This allows us to examine the impact of psychological awareness. We show that inclusion of the effect of awareness is absolutely necessary to arrive at a model description that satisfactorily fits the available HIV and AIDS data for South Africa. We also show that a relatively simple modelling of awareness (as opposed to more complex mathematical techniques that have been used in past studies) is sufficient to accurately describe the observed patterns in the data. Even though awareness alone is not sufficient to eradicate any disease and other control strategies should be explored and implemented concurrently with educational campaigns, we are able to conclude (through thorough model analyses procedures) that the current level of awareness in South Africa is far below the level that is effectively required to eradicate HIV from the South African population. The awareness model is also fitted to HIV-related data for Botswana and we compare the results with the South African case. Though the effect of awareness is currently estimated at a much higher level in Botswana, other factors such as poorer health care and cultural differences may play a role in limiting the ability of awareness to combat HIV in Botswana.

摘要

我们开发并使用数学模型来描述过去几十年间由艾滋病毒和艾滋病导致的南非人口变化情况。我们并未对艾滋病毒发展的所有阶段进行建模,而是表明一个相对简单的模型就足以呈现数据,并使我们能够研究艾滋病毒感染的重要方面:其一,我们能够研究认知对艾滋病毒流行率的影响;其二,它使我们能够对南非和博茨瓦纳进行比较。我们对两个模型进行了比较:一个未反映出对艾滋病毒和艾滋病破坏性影响认知的模型,以及一个添加了心理认知因素的模型。两个模型都与反映南非境内艾滋病毒和艾滋病发病率的数据相拟合。这使我们能够检验心理认知的影响。我们表明,纳入认知效应对于得出一个能令人满意地拟合南非现有艾滋病毒和艾滋病数据的模型描述绝对必要。我们还表明,对认知进行相对简单的建模(与过去研究中使用的更复杂数学技术相对)就足以准确描述数据中观察到的模式。尽管仅靠认知不足以根除任何疾病,其他控制策略应与教育宣传活动同时探索和实施,但我们能够(通过全面的模型分析程序)得出结论,南非目前的认知水平远低于从南非人口中根除艾滋病毒所需的有效水平。认知模型也与博茨瓦纳的艾滋病毒相关数据相拟合,我们将结果与南非的情况进行比较。尽管目前在博茨瓦纳对认知效应的估计要高得多,但其他因素,如较差的医疗保健和文化差异,可能在限制认知在博茨瓦纳抗击艾滋病毒能力方面发挥作用。

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