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Modelling the Impact of HIV on the Populations of South Africa and Botswana

机译:模拟艾滋病毒对南非和博茨瓦纳人口的影响

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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.
机译:我们开发和使用数学模型来描述由于艾滋病毒和艾滋病而导致的过去几十年来南非人口的变化。我们并未对艾滋病病毒感染的所有阶段进行建模,而是表明,一个相对简单的模型足以代表数据,并使我们能够调查艾滋病毒感染的重要方面:首先,我们能够调查意识对艾滋病毒感染的影响。艾滋病毒的流行,其次,它使我们能够对南非和博茨瓦纳进行比较。在两个模型之间进行了比较:一个模型不反映对HIV和AIDS的毁灭性影响的认识,另一个模型具有附加的心理认识因素。两种模型都适合反映南非境内艾滋病毒和艾滋病发病率的数据。这使我们可以研究心理意识的影响。我们表明,要想完全符合南非现有的HIV和AIDS数据,就必须有意识地纳入认识的影响。我们还表明,相对简单的意识建模(与过去研究中使用的更复杂的数学技术相反)足以准确描述数据中观察到的模式。尽管仅靠认识不足以根除任何疾病,并且应与教育活动同时探索和实施其他控制策略,但我们仍可以得出结论(通过彻底的模型分析程序),南非目前的认识水平远低于该水平。从南非人口中消灭艾滋病毒所需的有效水平。意识模型也适用于博茨瓦纳的艾滋病相关数据,我们将结果与南非案例进行了比较。尽管目前估计在博茨瓦纳的认识水平要高得多,但其他因素,例如较差的医疗保健和文化差异,可能会在限制博茨瓦纳抵抗艾滋病毒的认识能力方面发挥作用。

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