Lim Faye J, Blyth Christopher C, Levy Avram, Fathima Parveen, de Klerk Nicholas, Giele Carolien, Moore Hannah C
Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, The University of Western Australia, PO Box 855, West Perth, WA, 6872, Australia.
School of Paediatrics and Child Health, The University of Western Australia, GPO Box D184, Perth, WA, 6840, Australia.
BMC Med Inform Decis Mak. 2017 Jun 17;17(1):86. doi: 10.1186/s12911-017-0484-7.
Infectious disease burden is commonly assessed using notification data. Using retrospective record linkage in Western Australia, we described how well notification data captures laboratory detections of influenza, pertussis and invasive pneumococcal disease (IPD).
We linked data from the Western Australian Notifiable Infectious Diseases Database (WANIDD) and the PathWest Laboratory Database (PathWest) pertaining to the Triple I birth cohort, born in Western Australia in 1996-2012. These were combined to calculate the number of unique cases captured in each dataset alone or in both datasets. To assess the impact of under-ascertainment, we compared incidence rates calculated using WANIDD data alone and using combined data.
Overall, there were 5550 influenza, 513 IPD (2001-2012) and 4434 pertussis cases (2000-2012). Approximately 2% of pertussis and IPD cases and 7% of influenza cases were solely recorded in PathWest. Notification of influenza and pertussis cases to WANIDD improved over time. Overall incidence rates of influenza in children aged <5 years using both datasets was 10% higher than using WANIDD data alone (IRR = 1.1, 95% CI = 1.1-1.2).
This is the first time WANIDD data have been validated against routinely collected laboratory data. We anticipated all cases would be captured in WANIDD but found additional laboratory-confirmed cases that were not notified. Studies investigating pathogen-specific infectious disease would benefit from using multiple data sources.
传染病负担通常使用通报数据进行评估。通过在西澳大利亚州进行回顾性记录链接，我们描述了通报数据在捕捉流感、百日咳和侵袭性肺炎球菌病（IPD）实验室检测方面的效果。
我们将西澳大利亚州法定传染病数据库（WANIDD）和PathWest实验室数据库（PathWest）中与1996 - 2012年在西澳大利亚州出生的Triple I出生队列相关的数据进行链接。将这些数据合并，以计算每个数据集单独或两个数据集共同捕捉到的独特病例数。为了评估漏报的影响，我们比较了仅使用WANIDD数据和使用合并数据计算的发病率。
总体而言，有5550例流感病例、513例IPD病例（2001 - 2012年）和4434例百日咳病例（2000 - 2012年）。约2%的百日咳和IPD病例以及7%的流感病例仅记录在PathWest中。向WANIDD通报流感和百日咳病例的情况随时间有所改善。使用两个数据集计算的5岁以下儿童流感总体发病率比仅使用WANIDD数据高10%（发病率比 = 1.1，95%置信区间 = 1.1 - 1.2）。
这是首次将WANIDD数据与常规收集的实验室数据进行验证。我们预期所有病例都会在WANIDD中被捕捉到，但发现了未通报的额外实验室确诊病例。调查特定病原体传染病的研究将受益于使用多个数据源。
