Modelling the effect of a dengue vaccine on reducing the evolution of resistance against antibiotic due to misuse in dengue cases.

Q1 Mathematics

Theoretical Biology and Medical Modelling Pub Date : 2020-05-13 DOI:10.1186/s12976-020-00125-8

Ana Kurauchi, Claudio Jose Struchiner, Annelies Wilder-Smith, Eduardo Massad

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引用次数: 4

Abstract

Background: This paper intends to check whether and how a hypothetical dengue vaccine could contribute to issue of evolution of bacteria resistance against antibiotics by reducing the number of patients that would inappropriately being treated with antibiotics.

Methods: We use a new mathematical model that combines, in a novel way, two previously published papers, one on the evolution of resistance against antibiotics and one classical Ross-Macdonald model for dengue transmission.

Results: The model is simulated numerically and reproduces a real case of evolution of resistance against antibiotics. In addition the model shows that the use of a hypothetical dengue vaccine could help to curb the evolution of resistance against an antibiotic inappropriately used in dengue patients. Both the increase in the proportion of resistant bacteria due to the misuse of antibiotics in dengue cases as a function of the fraction of treated patients and the reduction of that proportion as a function of vaccination coverage occur in a highly non-linear fashion.

Conclusion: The use of a dengue vaccine is helpful in reducing the rate of evolution of antibiotic resistance in a scenario of misuse of the antibiotics in dengue patients.

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模拟登革热疫苗对减少登革热病例中因滥用抗生素而对抗生素产生耐药性的影响。

背景:本文旨在检验一种假设的登革热疫苗是否以及如何通过减少不适当使用抗生素治疗的患者数量来促进细菌对抗生素耐药性的进化。方法:我们使用了一个新的数学模型，该模型以一种新颖的方式结合了两篇先前发表的论文，一篇关于抗生素耐药性的进化，另一篇关于登革热传播的经典Ross-Macdonald模型。结果:该模型进行了数值模拟，再现了抗生素耐药性进化的真实案例。此外，该模型表明，使用一种假设的登革热疫苗可能有助于抑制对一种不适当地用于登革热患者的抗生素产生耐药性的演变。在登革热病例中，由于滥用抗生素而导致的耐药细菌比例的增加与治疗患者比例的关系，以及该比例与疫苗接种覆盖率的关系的减少，都是以高度非线性的方式发生的。结论:在登革热患者滥用抗生素的情况下，使用登革热疫苗有助于降低抗生素耐药性的演变速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.