Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
Faculty of Infectious and Tropical Diseases, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
BMC Infect Dis. 2018 Apr 13;18(1):176. doi: 10.1186/s12879-018-3070-4.
To support poliomyelitis eradication in Pakistan, environmental surveillance (ES) of wastewater has been expanded alongside surveillance for acute flaccid paralysis (AFP). ES is a relatively new method of surveillance, and the population sensitivity of detecting poliovirus within endemic settings requires estimation.
Data for wild serotype 1 poliovirus from AFP and ES from January 2011 to September 2015 from 14 districts in Pakistan were analysed using a multi-state model framework. This framework was used to estimate the sensitivity of poliovirus detection from each surveillance source and parameters such as the duration of infection within a community.
The location and timing of poliomyelitis cases showed spatial and temporal variability. The sensitivity of AFP surveillance to detect serotype 1 poliovirus infection in a district and its neighbours per month was on average 30.0% (95% CI 24.8-35.8) and increased with the incidence of poliomyelitis cases. The average population sensitivity of a single environmental sample was 59.4% (95% CI 55.4-63.0), with significant variation in site-specific estimates (median varied from 33.3-79.2%). The combined population sensitivity of environmental and AFP surveillance in a given month was on average 98.1% (95% CI 97.2-98.7), assuming four samples per month for each site.
ES can be a highly sensitive supplement to AFP surveillance in areas with converging sewage systems. As ES for poliovirus is expanded, it will be important to identify factors associated with variation in site sensitivity, leading to improved site selection and surveillance system performance.
为了支持巴基斯坦的脊髓灰质炎根除工作,除急性弛缓性麻痹(AFP)监测外,还扩大了环境卫生监测(ES)。ES 是一种相对较新的监测方法,需要估计在流行地区检测脊髓灰质炎病毒的人群敏感性。
利用多状态模型框架分析了 2011 年 1 月至 2015 年 9 月期间来自巴基斯坦 14 个地区的 AFP 和 ES 中野生 1 型脊灰病毒的数据。该框架用于估计从每种监测源检测脊灰病毒的敏感性以及社区内感染持续时间等参数。
脊髓灰质炎病例的位置和时间显示出空间和时间上的可变性。每月 AFP 监测在一个地区及其相邻地区检测 1 型脊灰病毒感染的敏感性平均为 30.0%(95%CI 24.8-35.8),且随脊髓灰质炎病例的发生率而增加。单个环境样本的平均人群敏感性为 59.4%(95%CI 55.4-63.0),特定地点的估计值存在显著差异(中位数从 33.3-79.2%不等)。在给定月份中,环境和 AFP 监测的综合人群敏感性平均为 98.1%(95%CI 97.2-98.7),假设每个地点每月进行四次采样。
在污水系统趋同的地区,ES 可作为 AFP 监测的高度敏感补充。随着对脊灰病毒的 ES 监测范围扩大,识别与站点敏感性变化相关的因素非常重要,这将有助于改善站点选择和监测系统性能。