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异质性蚊虫暴露增加及共感染:一项建模研究

Heterogeneous mosquito exposure increases and co-infections: a modelling study.

作者信息

Grimée Mathilde, Taylor Aimee R, White Michael T

机构信息

Infectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris, France.

Sorbonne Université, Collège doctoral, Paris, France.

出版信息

Proc Biol Sci. 2024 Dec;291(2036):20242061. doi: 10.1098/rspb.2024.2061. Epub 2024 Dec 4.

Abstract

In malaria-endemic regions, and coexist and may interact. For instance, fevers induced by might activate dormant parasites and concurrent radical cure of both species has been proposed to prevent relapses. Heterogeneous mosquito exposure may contribute to the dependence of both parasites. We conducted a literature review on their respective prevalence and that of co-infections. The data revealed a positive correlation between and prevalence, and co-infection prevalences exceeding expectations assuming infections occur independently. We used the review data to fit a compartmental model of co-infections that features heterogenous mosquito exposure. The fit suggests that heterogeneous exposure sufficiently explains the observed departure from independence. Finally, we performed simulations under the model assessing the impact on prevalence of the activation-by-fever hypothesis and the radical cure proposition. We demonstrated a moderate impact of allowing fevers to reactivate and a substantial impact of treating cases with radical cure. Our model highlights dependence between and and emphasizes the influence of heterogeneous mosquito exposure. This simple framework can inform the design of more complex models assessing integrated malaria control strategies in coendemic regions.

摘要

在疟疾流行地区,[两种寄生虫名称]共存且可能相互作用。例如,[一种寄生虫名称]引起的发热可能激活潜伏的[另一种寄生虫名称]寄生虫,有人提出同时对这两种寄生虫进行根治以预防复发。不同的蚊虫接触情况可能导致这两种寄生虫都具有依赖性。我们对它们各自的流行率以及共感染的流行率进行了文献综述。数据显示[一种寄生虫名称]和[另一种寄生虫名称]的流行率之间存在正相关,并且共感染流行率超过了假设感染独立发生时的预期。我们使用综述数据拟合了一个具有不同蚊虫接触情况的共感染 compartmental 模型。拟合结果表明,不同的接触情况充分解释了观察到的偏离独立性的现象。最后,我们在该模型下进行模拟,评估发热激活假说和根治方案对[一种寄生虫名称]流行率的影响。我们证明了允许[一种寄生虫名称]发热重新激活[另一种寄生虫名称]有适度影响,而对[一种寄生虫名称]病例进行根治有重大影响。我们的模型突出了[一种寄生虫名称]和[另一种寄生虫名称]之间的依赖性,并强调了不同蚊虫接触情况的影响。这个简单的框架可为评估共流行地区综合疟疾控制策略的更复杂模型的设计提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6e2/11614531/ea6ea4c61eba/rspb.2024.2061.f001.jpg

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