ArticleNature communications2015
Compensating for population sampling in simulations of epidemic spread on temporal contact networks.
Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Preserving friendships in school contacts: An algorithm to construct synthetic temporal networks for epidemic modelling.PLoS computational biology · 2024Article
- Compression-based inference of network motif sets.PLoS computational biology · 2024Article
- An algorithm to build synthetic temporal contact networks based on close-proximity interactions data.PLoS computational biology · 2024Article
- Article
- Compressing the Chronology of a Temporal Network with Graph Commutators.Physical review letters · 2024Article
- Spatial immunization to abate disease spreading in transportation hubs.Nature communications · 2023Article
- Predicting network dynamics without requiring the knowledge of the interaction graph.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Measuring close proximity interactions in summer camps during the COVID-19 pandemic.EPJ data science · 2022Article
- The non-linear impact of data handling on network diffusion models.Patterns (New York, N.Y.) · 2021Article
- Internet of Things Based Contact Tracing Systems.Sensors (Basel, Switzerland) · 2021Review
- Effect of manual and digital contact tracing on COVID-19 outbreaks: a study on empirical contact data.Journal of the Royal Society, Interface · 2021Article
- Effects of incomplete inter-hospital network data on the assessment of transmission dynamics of hospital-acquired infections.PLoS computational biology · 2021Article
- Dose-response functions and surrogate models for exploring social contagion in the Copenhagen Networks Study.The European physical journal. Special topics · 2021Article
- Predictability of real temporal networks.National science review · 2020Article
- Measuring social networks in primates: wearable sensors versus direct observations.Proceedings. Mathematical, physical, and engineering sciences · 2020Article
- Multilayer and Multiplex Networks: An Introduction to Their Use in Veterinary Epidemiology.Frontiers in veterinary science · 2020Review
- Indirect interactions influence contact network structure and diffusion dynamics.Royal Society open science · 2019Article
- The structured backbone of temporal social ties.Nature communications · 2019Article
- Study design and protocol for investigating social network patterns in rural and urban schools and households in a coastal setting in Kenya using wearable proximity sensors.Wellcome open research · 2019Article
- Change points, memory and epidemic spreading in temporal networks.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Data describing human interactions often suffer from incomplete sampling of the underlying population. As a consequence, the study of contagion processes using data-driven models can lead to a severe underestimation of the epidemic risk. Here we present a systematic method to alleviate this issue and obtain a better estimation of the risk in the context of epidemic models informed by high-resolution time-resolved contact data. We consider several such data sets collected in various contexts and perform controlled resampling experiments. We show how the statistical information contained in the resampled data can be used to build a series of surrogate versions of the unknown contacts. We simulate epidemic processes on the resulting reconstructed data sets and show that it is possible to obtain good estimates of the outcome of simulations performed using the complete data set. We discuss limitations and potential improvements of our method.
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