ArticleScientific reports2016
Epidemic risk from friendship network data: an equivalence with a non-uniform sampling of contact networks.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Digital contact tracing technologies in epidemics: a rapid review.The Cochrane database of systematic reviews · 2020Pooled it
- Preserving friendships in school contacts: An algorithm to construct synthetic temporal networks for epidemic modelling.PLoS computational biology · 2024Article
- A general framework for optimising cost-effectiveness of pandemic response under partial intervention measures.Scientific reports · 2022Article
- Statistical inference links data and theory in network science.Nature communications · 2022Review
- Revealing COVID-19 transmission in Australia by SARS-CoV-2 genome sequencing and agent-based modeling.Nature medicine · 2020Article
- A geo-computational algorithm for exploring the structure of diffusion progression in time and space.Scientific reports · 2017Article
- Estimating the epidemic risk using non-uniformly sampled contact data.Scientific reports · 2017Article
- Use of social network analysis and global sensitivity and uncertainty analyses to better understand an influenza outbreak.Oncotarget · 2017Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Contacts between individuals play an important role in determining how infectious diseases spread. Various methods to gather data on such contacts co-exist, from surveys to wearable sensors. Comparisons of data obtained by different methods in the same context are however scarce, in particular with respect to their use in data-driven models of spreading processes. Here, we use a combined data set describing contacts registered by sensors and friendship relations in the same population to address this issue in a case study. We investigate if the use of the friendship network is equivalent to a sampling procedure performed on the sensor contact network with respect to the outcome of simulations of spreading processes: such an equivalence might indeed give hints on ways to compensate for the incompleteness of contact data deduced from surveys. We show that this is indeed the case for these data, for a specifically designed sampling procedure, in which respondents report their neighbors with a probability depending on their contact time. We study the impact of this specific sampling procedure on several data sets, discuss limitations of our approach and its possible applications in the use of data sets of various origins in data-driven simulations of epidemic processes.
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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.