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Strengths and limitations of assessing influenza vaccine effectiveness using routinely collected, passive surveillance data in Ontario, Canada, 2007 to 2012: balancing efficiency versus quality

机译:2007年至2012年在加拿大安大略省使用常规收集的被动监测数据评估流感疫苗有效性的优缺点:平衡效率与质量

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Prompt evaluation of annual influenza vaccine effectiveness (IVE) is important. IVE is estimated in Ontario using a test-negative design (TND) within a national sentinel surveillance network (SPSN). To explore alternative approaches, we applied the screening method (SM) during five seasons spanning 2007 to 2012 to passive surveillance data to determine whether routinely collected data could provide unbiased IVE estimates. Age-adjusted SM-IVE estimates, excluding 2008/09 pandemic cases and cases with missing immunisation status, were compared with TND-IVE estimates in SPSN participants, adjusted for age, comorbidity, week of illness onset and interval to specimen collection. In four seasons, including the 2009 pandemic, the SM underestimated IVE (22-39% seasonal; 72% pandemic) by 20 to 35% relative to the TND-IVE (58-63% seasonal; 93% pandemic), except for the 2010/11 season when both estimates were low (33% and 30%, respectively). Half of the cases in the routine surveillance data lacked immunisation information; imputing all to be unimmunised better aligned SM-IVE with TND-IVE, instead overestimating in four seasons by 4 to 29%. While the SM approach applied to routine data may offer the advantage of timeliness, ease and efficiency, methodological issues related to completeness of vaccine information and/or case ascertainment may constitute trade-offs in reliability..
机译:及时评估年度流感疫苗效力(IVE)很重要。 IVE是在安大略省国家哨点监视网络(SPSN)中使用测试阴性设计(TND)进行估算的。为了探索替代方法,我们在2007年至2012年的五个季节中将筛选方法(SM)应用于被动监视数据,以确定常规收集的数据是否可以提供无偏的IVE估计。将经过年龄调整的SM-IVE估计值(不包括2008/09年大流行病例和缺少免疫状态的病例)与SPSN参与者的TND-IVE估计值进行比较,并根据年龄,合并症,发病周数和样本采集间隔进行调整。在四个季节(包括2009年大流行)中,SM相对于TND-IVE(季节性58-63%;大流行93%)低估了IVE(季节性22-39%;大流行72%)低20%至35%。在2010/11赛季,这两个估算值都很低(分别为33%和30%)。常规监测数据中有一半的病例缺乏免疫信息。估计所有未免疫的人都可以将SM-IVE与TND-IVE更好地结合,而在四个季节中高估了4%至29%。尽管将SM方法应用于常规数据可能会提供及时性,便捷性和效率优势,但与疫苗信息的完整性和/或病例确定有关的方法论问题可能会构成可靠性的折衷。

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