Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: Method comparison and participants' attitudes

Timo Smieszek, Stefanie Castell*, Alain Barrat, Ciro Cattuto, Peter J. White, Gérard Krause

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

Background: 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. Methods: 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. Results: 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. Conclusion: 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.

Original languageEnglish
Article number341
JournalBMC Infectious Diseases
Volume16
Issue number1
DOIs
Publication statusPublished - 22 Jul 2016

Bibliographical note

Funding Information:
TS and PJW thank the UK National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Modelling Methodology at Imperial College London in partnership with Public Health England (PHE) for funding (grant HPRU-2012-10080). PJW also thanks the UK Medical Research Council for Centre funding (grant MR/K010174/1). The present work is partially supported by the French ANR project HarMS-flu (ANR-12-MONU-0018) to AB, by the EU FET project Multiplex 317532 to AB and CC, by the A*MIDEX project (ANR-11-IDEX-0001-02) funded by the “Investissements d’Avenir” French Government program, managed by the French National Research Agency (ANR) to AB, by the Lagrange Project of the ISI Foundation funded by the CRT Foundation to CC, and by the S3 project funded by the Fondazione Compagnia di San Paolo to CC. The funding bodies played no role in the design of the study and data collection, analysis, and interpretation of data, decision to publish, and writing of the manuscript.

Publisher Copyright:
© 2016 The Author(s).

Keywords

  • Acceptability
  • Contact diary
  • Contact network
  • Infection transmission
  • Infectious disease
  • Measurement error
  • Network epidemiology
  • Network model
  • Proximity sensor
  • RFID

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