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A modified mathematical model for malaria transmission under control strategies

机译:控制策略下疟疾传播的改良数学模型

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We study a modified model for malaria transmission. We consider the model proposed by Chiyaka et al in [9] and modify it to include the proportions (i) of infectious humans that enter the human population by immigration; and (ii) of infectious mosquitoes recruited to the mosquitoes population. We believe that these two amendments to the model provide a better approximation of the real dynamics of malaria transmission among heterogeneous populations, given that infectious humans and infectious mosquitoes can also immigrate. We have computed the disease free equilibrium and the reproduction number. We have studied the variation of the reproduction number with the treatment rate κ. By observation of the graphs, we conclude that vaccination can slow the development of malaria in a community, while the treatment may increase the development of the epidemic, unless the therapeutic drugs are those that prevent treated humans to become infectious to mosquitoes. These results are in agreement with those obtained in [9]. We have also varied the rates of infectious humans and infectious mosquitoes that immigrate to the human and mosquitoes populations, respectively. We find that increasing values of the infectious mosquitoes lead to an increase in the values of infectious, infectious vaccinated, and treated humans, and infectious mosquitoes. On the other hand, an increase in the rate of infectious humans, implies greater values of susceptibles, infectious, and treated humans. These results suggest that our model is epidemiologically well-posed.
机译:我们研究了疟疾传播的改良模型。我们考虑了Chiyaka等人在[9]中提出的模型,并对其进行了修改,以包括(i)通过移民进入人口的传染性人群的比例; (ii)招募到蚊子种群的传染性蚊子。我们相信,由于传染性人类和传染性蚊子也可以移民,对模型的这两个修正为疟疾在异种人群之间传播的真实动态提供了更好的近似值。我们已经计算出无病平衡和繁殖数。我们研究了繁殖数随处理率κ的变化。通过观察这些图,我们得出的结论是,疫苗接种可以减缓社区中疟疾的发生,而治疗可能会增加流行病的发生,除非治疗药物是能防止被治疗的人感染蚊子的药物。这些结果与[9]中获得的结果一致。我们还改变了分别迁移到人类和蚊子种群的人类感染率和蚊子感染率。我们发现,增加传染性蚊子的价值会导致传染性,传染性疫苗接种和治疗的人以及传染性蚊子的价值增加。另一方面,人类感染率的增加意味着易感者,感染者和治疗者的价值更高。这些结果表明我们的模型在流行病学上是正确的。

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