ArticleBMC infectious diseases2016
Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: method comparison and participants' attitudes.
Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections.Epidemiology (Cambridge, Mass.) · 2019Pooled it
- Close encounters between infants and household members measured through wearable proximity sensors.PloS one · 2018Trial
- REPLAY: a GPU-accelerated tool for temporal contact network epidemiology.BMC medical informatics and decision making · 2025Article
- The relative contribution of close-proximity contacts, shared classroom exposure and indoor air quality to respiratory virus transmission in schools.Nature communications · 2025Article
- Comparison of contact diaries and wearable proximity sensors in measuring household contacts in low- and middle-income countries.medRxiv : the preprint server for health sciences · 2025Article
- The relative contribution of close-proximity contacts, shared classroom exposure and indoor air quality to respiratory virus transmission in schools.medRxiv : the preprint server for health sciences · 2025Article
- Multilayer networks describing urban interactions for building the digital twins of five cities in Spain.Scientific data · 2025Article
- Intensive Longitudinal Social Sensing in Patients With Psychosis Spectrum Disorders: An Exploratory Pilot Study.Schizophrenia bulletin · 2024Article
- Effectiveness of probabilistic contact tracing in epidemic containment: The role of superspreaders and transmission path reconstruction.PNAS nexus · 2024Article
- An algorithm to build synthetic temporal contact networks based on close-proximity interactions data.PLoS computational biology · 2024Article
- Influenza transmissibility among patients and health-care professionals in a geriatric short-stay unit using individual contact data.Scientific reports · 2023Article
- Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices.EPJ data science · 2023Article
- A Bayesian generative neural network framework for epidemic inference problems.Scientific reports · 2022Article
- Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies.Technology in society · 2022Article
- The case for wearable proximity devices to inform physical distancing among healthcare workers.JAMIA open · 2021Article
- Projecting contact matrices in 177 geographical regions: An update and comparison with empirical data for the COVID-19 era.PLoS computational biology · 2021Article
- Reference-free video-to-real distance approximation-based urban social distancing analytics amid COVID-19 pandemic.Journal of transport & health · 2021Article
- Test, Trace, and Put on the Blockchain?: A Viewpoint Evaluating the Use of Decentralized Systems for Algorithmic Contact Tracing to Combat a Global Pandemic.JMIR public health and surveillance · 2021Article
- Digital proximity tracing on empirical contact networks for pandemic control.Nature communications · 2021Article
- A spatiotemporal simulation study on the transmission of harmful microorganisms through connected healthcare workers in a hospital ward setting.BMC infectious diseases · 2021Article
Corrections and comments
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Authors and funding
6 authors.
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Abstract
backgroundStudies 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.
methodsWe 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.
resultsThere 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.
conclusionReporting 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.
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