Ondrikova N, Clough H E, Cunliffe N A, Iturriza-Gomara M, Vivancos R, Harris J P
Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Institute for Risk & Uncertainty, University of Liverpool, Liverpool, UK.
BMC Public Health. 2021 Jun 28;21(1):1245. doi: 10.1186/s12889-021-11317-3.
Norovirus has a higher level of under-reporting in England compared to other intestinal infectious agents such as Campylobacter or Salmonella, despite being recognised as the most common cause of gastroenteritis globally. In England, this under-reporting is a consequence of the frequently mild/self-limiting nature of the disease, combined with the passive surveillance system for infectious diseases reporting. We investigated heterogeneity in passive surveillance system in order to improve understanding of differences in reporting and laboratory testing practices of norovirus in England.
The reporting patterns of norovirus relating to age and geographical region of England were investigated using a multivariate negative binomial model. Multiple model formulations were compared, and the best performing model was determined by proper scoring rules based on one-week-ahead predictions. The reporting patterns are represented by epidemic and endemic random intercepts; values close to one and less than one imply a lower number of reports than expected in the given region and age-group.
The best performing model highlighted atypically large and small amounts of reporting by comparison with the average in England. Endemic random intercept varied from the lowest in East Midlands in those in the under 5 year age-group (0.36, CI 0.18-0.72) to the highest in the same age group in South West (3.00, CI 1.68-5.35) and Yorkshire & the Humber (2.93, CI 1.74-4.94). Reporting by age groups showed the highest variability in young children.
We identified substantial variability in reporting patterns of norovirus by age and by region of England. Our findings highlight the importance of considering uncertainty in the design of forecasting tools for norovirus, and to inform the development of more targeted risk management approaches for norovirus disease.
尽管诺如病毒被认为是全球肠胃炎最常见的病因,但与弯曲杆菌或沙门氏菌等其他肠道传染病原体相比,在英国其报告率较低。在英国,报告率低是由于该疾病通常症状轻微/具有自限性,再加上传染病报告的被动监测系统。我们调查了被动监测系统的异质性,以更好地理解英国诺如病毒报告和实验室检测做法的差异。
使用多元负二项模型研究了英格兰诺如病毒报告与年龄和地理区域的关系。比较了多种模型公式,并根据提前一周的预测,通过适当的评分规则确定了表现最佳的模型。报告模式由流行和地方随机截距表示;接近1和小于1的值意味着给定地区和年龄组的报告数量低于预期。
与英国的平均水平相比,表现最佳的模型突出了报告数量的异常多和少。地方随机截距在5岁以下年龄组中,从东米德兰兹地区的最低值(0.36,置信区间0.18 - 0.72)到西南地区(3.00,置信区间1.68 - 5.35)和约克郡与亨伯赛德地区(2.93,置信区间1.74 - 4.94)同一年龄组的最高值不等。按年龄组划分的报告显示幼儿的变异性最高。
我们发现英国诺如病毒的报告模式在年龄和地区上存在很大差异。我们的研究结果强调了在设计诺如病毒预测工具时考虑不确定性的重要性,并为制定更有针对性的诺如病毒疾病风险管理方法提供信息。