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马尔堡病毒病疫情的数学模型与疫苗接种控制的潜在作用。

A mathematical model of Marburg virus disease outbreaks and the potential role of vaccination in control.

机构信息

Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.

Department of Engineering Mathematics, University of Bristol, Bristol, UK.

出版信息

BMC Med. 2023 Nov 14;21(1):439. doi: 10.1186/s12916-023-03108-x.

Abstract

BACKGROUND

Marburg virus disease is an acute haemorrhagic fever caused by Marburg virus. Marburg virus is zoonotic, maintained in nature in Egyptian fruit bats, with occasional spillover infections into humans and nonhuman primates. Although rare, sporadic cases and outbreaks occur in Africa, usually associated with exposure to bats in mines or caves, and sometimes with secondary human-to-human transmission. Outbreaks outside of Africa have also occurred due to importation of infected monkeys. Although all previous Marburg virus disease outbreaks have been brought under control without vaccination, there is nevertheless the potential for large outbreaks when implementation of public health measures is not possible or breaks down. Vaccines could thus be an important additional tool, and development of several candidate vaccines is under way.

METHODS

We developed a branching process model of Marburg virus transmission and investigated the potential effects of several prophylactic and reactive vaccination strategies in settings driven primarily by multiple spillover events as well as human-to-human transmission. Linelist data from the 15 outbreaks up until 2022, as well as an Approximate Bayesian Computational framework, were used to inform the model parameters.

RESULTS

Our results show a low basic reproduction number which varied across outbreaks, from 0.5 [95% CI 0.05-1.8] to 1.2 [95% CI 1.0-1.9] but a high case fatality ratio. Of six vaccination strategies explored, the two prophylactic strategies (mass and targeted vaccination of high-risk groups), as well as a combination of ring and targeted vaccination, were generally most effective, with a probability of potential outbreaks being terminated within 1 year of 0.90 (95% CI 0.90-0.91), 0.89 (95% CI 0.88-0.90), and 0.88 (95% CI 0.87-0.89) compared with 0.68 (0.67-0.69) for no vaccination, especially if the outbreak is driven by zoonotic spillovers and the vaccination campaign initiated as soon as possible after onset of the first case.

CONCLUSIONS

Our study shows that various vaccination strategies can be effective in helping to control outbreaks of MVD, with the best approach varying with the particular epidemiologic circumstances of each outbreak.

摘要

背景

马尔堡病毒病是由马尔堡病毒引起的急性出血性发热。马尔堡病毒是一种人畜共患病,在埃及果蝠中自然存在,偶尔会溢出感染人类和非人类灵长类动物。尽管这种情况很少见,但在非洲仍会发生零星的病例和暴发,通常与在矿山或洞穴中接触蝙蝠有关,有时还会发生人与人之间的二次传播。由于感染的猴子进口,非洲以外也发生了暴发。尽管所有以前的马尔堡病毒病暴发都在没有接种疫苗的情况下得到了控制,但如果无法实施或中断公共卫生措施,仍有可能发生大规模暴发。疫苗因此可能是一种重要的补充工具,目前正在开发几种候选疫苗。

方法

我们开发了马尔堡病毒传播的分支过程模型,并研究了几种预防性和反应性疫苗接种策略在主要由多次溢出事件以及人与人之间传播驱动的环境中的潜在影响。直到 2022 年的 15 次暴发的清单数据以及近似贝叶斯计算框架用于为模型参数提供信息。

结果

我们的结果表明,基本繁殖数较低,在不同的暴发中有所不同,从 0.5 [95%置信区间 0.05-1.8]到 1.2 [95%置信区间 1.0-1.9],但病死率很高。在探索的六种疫苗接种策略中,两种预防性策略(高危人群的大规模和有针对性的疫苗接种)以及环形和有针对性的疫苗接种组合通常最有效,潜在暴发在一年内得到控制的可能性为 0.90(95%置信区间 0.90-0.91)、0.89(95%置信区间 0.88-0.90)和 0.88(95%置信区间 0.87-0.89),而不接种疫苗的可能性为 0.68(0.67-0.69),尤其是如果暴发是由人畜共患病溢出驱动的,并且疫苗接种活动在第一例病例出现后尽快启动。

结论

我们的研究表明,各种疫苗接种策略在帮助控制 MVD 暴发方面可能是有效的,最佳方法因每个暴发的特定流行病学情况而异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3735/10648709/a8006f259b5b/12916_2023_3108_Fig1_HTML.jpg

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