Smieszek Timo, Castell Stefanie, Barrat Alain, Cattuto Ciro, White Peter J, Krause Gérard
NIHR Health Protection Research Unit in Modelling Methodology and MRC Outbreak Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
Modelling and Economics Unit, Centre for Infectious Disease Surveillance and Control, Public Health England, London, UK.
BMC Infect Dis. 2016 Jul 22;16:341. doi: 10.1186/s12879-016-1676-y.
Studies measuring contact networks have helped to improve our understanding of infectious disease transmission. However, several methodological issues are still unresolved, such as which method of contact measurement is the most valid. Further, complete network analysis requires data from most, ideally all, members of a network and, to achieve this, acceptance of the measurement method. We aimed at investigating measurement error by comparing two methods of contact measurement - paper diaries vs. wearable proximity sensors - that were applied concurrently to the same population, and we measured acceptability.
We investigated the contact network of one day of an epidemiology conference in September 2014. Seventy-six participants wore proximity sensors throughout the day while concurrently recording their contacts with other study participants in a paper-diary; they also reported on method acceptability.
There were 329 contact reports in the paper diaries, corresponding to 199 contacts, of which 130 were noted by both parties. The sensors recorded 316 contacts, which would have resulted in 632 contact reports if there had been perfect concordance in recording. We estimated the probabilities that a contact was reported in a diary as: P = 72 % for <5 min contact duration (significantly lower than the following, p < 0.05), P = 86 % for 5-15 min, P = 89 % for 15-60 min, and P = 94 % for >60 min. The sets of sensor-measured and self-reported contacts had a large intersection, but neither was a subset of the other. Participants' aggregated contact duration was mostly substantially longer in the diary data than in the sensor data. Twenty percent of respondents (>1 reported contact) stated that filling in the diary was too much work, 25 % of respondents reported difficulties in remembering contacts, and 93 % were comfortable having their conference contacts measured by sensors.
Reporting and recording were not complete; reporting was particularly incomplete for contacts <5 min. The types of contact that both methods are capable of detecting are partly different. Participants appear to have overestimated the duration of their contacts. Conducting a study with diaries or wearable sensors was acceptable to and mostly easily done by participants. Both methods can be applied meaningfully if their specific limitations are considered and incompleteness is accounted for.
对接触网络的研究有助于增进我们对传染病传播的理解。然而,一些方法学问题仍未得到解决,比如哪种接触测量方法最为有效。此外,完整的网络分析需要来自网络中大多数(理想情况下是所有)成员的数据,并且要实现这一点,需要测量方法得到认可。我们旨在通过比较两种同时应用于同一人群的接触测量方法——纸质日记与可穿戴式接近传感器——来调查测量误差,并评估可接受性。
我们调查了2014年9月一次流行病学会议一天中的接触网络。76名参与者全天佩戴接近传感器,同时在纸质日记中记录他们与其他研究参与者的接触情况;他们还报告了对方法的可接受性。
纸质日记中有329份接触报告,对应199次接触,其中130次双方都有记录。传感器记录了316次接触,如果记录完全一致,这些接触本应产生632份接触报告。我们估计在日记中报告一次接触的概率为:接触持续时间<5分钟时,P = 72%(显著低于以下情况,p < 0.05);5 - 15分钟时,P = 86%;15 - 60分钟时,P = 89%;>60分钟时,P = 94%。传感器测量的接触和自我报告的接触集有很大的交集,但彼此都不是对方的子集。参与者在日记数据中的累计接触持续时间大多比传感器数据中的长得多。20%的受访者(>1次报告接触)表示填写日记工作量太大,25%的受访者报告难以记住接触情况,93%的受访者对通过传感器测量其会议接触情况感到满意。
报告和记录并不完整;对于持续时间<5分钟的接触,报告尤其不完整。两种方法能够检测到的接触类型部分不同。参与者似乎高估了他们接触的持续时间。参与者能够接受并大多能轻松完成使用日记或可穿戴传感器的研究。如果考虑到它们的特定局限性并考虑到不完整性,两种方法都可以有意义地应用。