Enterovirus A71 and coxsackievirus A6 circulation in England, UK, 2006-2017: A mathematical modelling study using cross-sectional seroprevalence data.

IF 5.5 1区 医学 Q1 MICROBIOLOGY
PLoS Pathogens Pub Date : 2024-11-20 eCollection Date: 2024-11-01 DOI:10.1371/journal.ppat.1012703
Everlyn Kamau, Ben Lambert, David J Allen, Cristina Celma, Stuart Beard, Heli Harvala, Peter Simmonds, Nicholas C Grassly, Margarita Pons-Salort
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引用次数: 0

Abstract

Enterovirus A71 (EV-A71) and coxsackievirus A6 (CVA6) primarily cause hand, foot and mouth disease and have emerged to cause potential fatal neurological and systemic manifestations. However, limited surveillance data collected through passive surveillance systems hampers characterization of their epidemiological dynamics. We fit a series of catalytic models to age-stratified seroprevalence data for EV-A71 and CVA6 collected in England at three time points (2006, 2011 and 2017) to estimate the force of infection (FOI) over time and assess possible changes in transmission. For both serotypes, model comparison does not support the occurrence of important changes in transmission over the study period, and we find that a declining risk of infection with age and / or seroreversion are needed to explain the seroprevalence data. Furthermore, we provide evidence that the increased number of reports of CVA6 during 2006-2017 is unlikely to be explained by changes in surveillance. Therefore, we hypothesize that the increased number of CVA6 cases observed since 2011 must be explained by increased virus pathogenicity. Further studies of seroprevalence data from other countries would allow to confirm this. Our results underscore the value of seroprevalence data to unravel changes in the circulation dynamics of pathogens with weak surveillance systems and large number of asymptomatic infections.

2006-2017 年英国英格兰肠道病毒 A71 和柯萨奇病毒 A6 的流行情况:利用横断面血清流行率数据进行的数学建模研究。
肠道病毒 A71(EV-A71)和柯萨奇病毒 A6(CVA6)主要引起手足口病,并可能导致致命的神经和全身症状。然而,通过被动监测系统收集到的监测数据有限,阻碍了对其流行病学动态的描述。我们在三个时间点(2006 年、2011 年和 2017 年)对英格兰收集的 EV-A71 和 CVA6 年龄分层血清流行率数据拟合了一系列催化模型,以估计随时间推移的感染力(FOI)并评估传播中可能出现的变化。对于这两种血清型,模型比较并不支持在研究期间传播发生重要变化,我们发现需要随着年龄的增长和/或血清转换而降低的感染风险来解释血清流行率数据。此外,我们还提供证据表明,2006-2017 年期间 CVA6 报告数量的增加不太可能是监测变化造成的。因此,我们假设自 2011 年以来观察到的 CVA6 病例数量增加必须归因于病毒致病性的增强。对其他国家血清流行率数据的进一步研究将有助于证实这一点。我们的研究结果凸显了血清流行率数据对于揭示监测系统薄弱、无症状感染病例众多的病原体循环动态变化的价值。
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来源期刊
PLoS Pathogens
PLoS Pathogens MICROBIOLOGY-PARASITOLOGY
自引率
3.00%
发文量
598
期刊介绍: Bacteria, fungi, parasites, prions and viruses cause a plethora of diseases that have important medical, agricultural, and economic consequences. Moreover, the study of microbes continues to provide novel insights into such fundamental processes as the molecular basis of cellular and organismal function.
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