论文标题

SARS-COV-2与共同循环病原体的相互作用:流行病学和当前知识差距

The interactions of SARS-CoV-2 with co-circulating pathogens: Epidemiological implications and current knowledge gaps

论文作者

Wong, Anabelle, Barrero, Laura, Goult, Elizabeth, Briga, Michael, Kramer, Sarah C., Kovacevic, Aleksandra, Opatowski, Lulla, de Cellès, Matthieu Domenech

论文摘要

尽管有效的疫苗可用,但SARS-COV-2的持久性表明,与其他病原体的共循环以及由此产生的多发育作用可能变得越来越频繁。为了更好地预测和控制这种多种发育学的风险,必须阐明SARS-COV-2与其他病原体的潜在相互作用至关重要。但是,这些相互作用的定义仍然很差。在这里,我们旨在回顾当前有关SARS-COV-2相互作用的证据。为了以系统的方式研究病原体相互作用,我们首先开发了一个通用框架来捕获其主要组成部分:符号,强度,对称性,持续时间和机制。然后,我们回顾了动物模型中有关SARS-COV-2相互作用的实验证据。在确定的14项研究中,有11个重点是与未衰减的流感病毒共同感染的结果,并且通常证明,与任何一种单感染相比,共感染增加了疾病的严重程度。相比之下,共同感染对任何两种病毒的病毒载量的影响都是可变的,并且在整个研究中不一致。接下来,我们回顾了有关人群中SARS-COV-2相互作用的流行病学证据。尽管已经确定了许多研究,但只有很少的专门设计用于推断相互作用,许多研究容易出现多种偏见,包括混杂。然而,他们的结果表明流感和肺炎球菌疫苗接种与SARS-COV-2感染的风险降低有关。最后,我们通过病毒或细菌病原体制定了SARS-COV-2共同循环的简单传播模型,显示了它们如何自然合并所提出的框架。我们认为,我们认为,当以综合性和多学科的观点设计时,这种模型将是无价的工具,可以解决有关SARS-COV-2交互作用的实质性不确定性。

Despite the availability of effective vaccines, the persistence of SARS-CoV-2 suggests that co-circulation with other pathogens and resulting multi-epidemics may become increasingly frequent. To better forecast and control the risk of such multi-epidemics, it is essential to elucidate the potential interactions of SARS-CoV-2 with other pathogens; these interactions, however, remain poorly defined. Here, we aimed to review the current body of evidence about SARS-CoV-2 interactions. To study pathogen interactions in a systematic way, we first developed a general framework to capture their major components: sign, strength, symmetry, duration, and mechanism. We then reviewed the experimental evidence from animal models about SARS-CoV-2 interactions. Of the 14 studies identified, 11 focused on the outcomes of co-infection with non-attenuated influenza A viruses and generally demonstrated that co-infection increased disease severity compared with either mono-infection. By contrast, the effect of co-infection on the viral load of either virus was variable and inconsistent across studies. Next, we reviewed the epidemiological evidence about SARS-CoV-2 interactions in human populations. Although numerous studies were identified, only few were specifically designed to infer interaction and many were prone to multiple biases, including confounding. Nevertheless, their results suggested that influenza and pneumococcal conjugate vaccinations were associated with reduced riskof SARS-CoV-2 infection. Finally, we formulated simple transmission models of SARS-CoV-2 co-circulation with a viral or a bacterial pathogen, showing how they can naturally incorporate the proposed framework. More generally, we argue that such models, when designed with an integrative and multidisciplinary perspective, will be invaluable tools to resolve the substantial uncertainties that remain about SARS-CoV-2 interactions.

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