ArticleNetwork science (Cambridge University Press)2015
Modeling workplace contact networks: The effects of organizational structure, architecture, and reporting errors on epidemic predictions.
Article in Network science (Cambridge University Press), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- An integrated framework for modelling respiratory disease transmission and designing surveillance networks using a sentinel index.Royal Society open science · 2025Article
- Is Police Misconduct Contagious? Non-trivial Null Findings from Dallas, Texas.Journal of quantitative criminology · 2023Article
- The network limits of infectious disease control via occupation-based targeting.Scientific reports · 2021Article
- Link predictions for incomplete network data with outcome misclassification.Statistics in medicine · 2021Article
- Dynamics of COVID-19 under social distancing measures are driven by transmission network structure.PLoS computational biology · 2021Article
- Dynamics of COVID-19 under social distancing measures are driven by transmission network structure.medRxiv : the preprint server for health sciences · 2021Article
- Modeling epidemic spreading through public transit using time-varying encounter network.Transportation research. Part C, Emerging technologies · 2021Article
- Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil.PloS one · 2020Article
- Quantifying heterogeneous contact patterns in Japan: a social contact survey.Theoretical biology & medical modelling · 2019Article
- Household members do not contact each other at random: implications for infectious disease modelling.Proceedings. Biological sciences · 2018Article
- The impact of the built environment on health behaviours and disease transmission in social systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Review
- Measuring distance through dense weighted networks: The case of hospital-associated pathogens.PLoS computational biology · 2017Article
- The social network around influenza vaccination in health care workers: a cross-sectional study.Implementation science : IS · 2016Article
- Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: method comparison and participants' attitudes.BMC infectious diseases · 2016Article
- Disease Surveillance on Complex Social Networks.PLoS computational biology · 2016Article
- How to Estimate Epidemic Risk from Incomplete Contact Diaries Data?PLoS computational biology · 2016Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Face-to-face social contacts are potentially important transmission routes for acute respiratory infections, and understanding the contact network can improve our ability to predict, contain, and control epidemics. Although workplaces are important settings for infectious disease transmission, few studies have collected workplace contact data and estimated workplace contact networks. We use contact diaries, architectural distance measures, and institutional structures to estimate social contact networks within a Swiss research institute. Some contact reports were inconsistent, indicating reporting errors. We adjust for this with a latent variable model, jointly estimating the true (unobserved) network of contacts and duration-specific reporting probabilities. We find that contact probability decreases with distance, and that research group membership, role, and shared projects are strongly predictive of contact patterns. Estimated reporting probabilities were low only for 0-5 min contacts. Adjusting for reporting error changed the estimate of the duration distribution, but did not change the estimates of covariate effects and had little effect on epidemic predictions. Our epidemic simulation study indicates that inclusion of network structure based on architectural and organizational structure data can improve the accuracy of epidemic forecasting models.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.