ArticleJournal of the Royal Society, Interface2011
Insights from unifying modern approximations to infections on networks.
Article in Journal of the Royal Society, Interface, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
What it found
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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.
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Who cites it
55 citing papers in PubMed.
- First- and second-order social contact network structure in southern China.Journal of the Royal Society, Interface · 2025Article
- Symptom network analysis of pregnancy stress, depressive symptoms and quality of life: a cross-sectional study of pregnant women in Xinjiang, China, 2023-2024.BMC psychology · 2025Article
- Evolutionary graph theory beyond pairwise interactions: Higher-order network motifs shape times to fixation in structured populations.PLoS computational biology · 2024Article
- Trust based attachment.PloS one · 2023Article
- Fitting the reproduction number from UK coronavirus case data and why it is close to 1.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022Article
- Adaptive network modeling of social distancing interventions.Journal of theoretical biology · 2022Article
- Balancing Quarantine and Self-Distancing Measures in Adaptive Epidemic Networks.Bulletin of mathematical biology · 2022Article
- Effects of void nodes on epidemic spreads in networks.Scientific reports · 2022Article
- Modeling the early transmission of COVID-19 in New York and San Francisco using a pairwise network model.Infectious Disease Modelling · 2022Article
- Network diffusion of gender diversity on boards: A process of two-speed opposing forces.PloS one · 2022Article
- The Impact of Contact Structure and Mixing on Control Measures and Disease-Induced Herd Immunity in Epidemic Models: A Mean-Field Model Perspective.Bulletin of mathematical biology · 2021Article
- A Low-Dimensional Network Model for an SIS Epidemic: Analysis of the Super Compact Pairwise Model.Bulletin of mathematical biology · 2021Article
- Contact tracing - Old models and new challenges.Infectious Disease Modelling · 2021Article
- Nonpharmaceutical interventions contribute to the control of COVID-19 in China based on a pairwise model.Infectious Disease Modelling · 2021Article
- One model to rule them all? Modelling approaches across OneHealth for human, animal and plant epidemics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
- Modeling outbreak data: Analysis of a 2012 Ebola virus disease epidemic in DRC.Biomath (Sofia, Bulgaria) · 2019Article
- SIR dynamics in random networks with communities.Journal of mathematical biology · 2018Article
- Models of kleptoparasitism on networks: the effect of population structure on food stealing behaviour.Journal of mathematical biology · 2018Article
- Dynamic network measures reveal the impact of cattle markets and alpine summering on the risk of epidemic outbreaks in the Swiss cattle population.BMC veterinary research · 2018Article
- Determining whether a class of random graphs is consistent with an observed contact network.Journal of theoretical biology · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Networks are increasingly central to modern science owing to their ability to conceptualize multiple interacting components of a complex system. As a specific example of this, understanding the implications of contact network structure for the transmission of infectious diseases remains a key issue in epidemiology. Three broad approaches to this problem exist: explicit simulation; derivation of exact results for special networks; and dynamical approximations. This paper focuses on the last of these approaches, and makes two main contributions. Firstly, formal mathematical links are demonstrated between several prima facie unrelated dynamical approximations. And secondly, these links are used to derive two novel dynamical models for network epidemiology, which are compared against explicit stochastic simulation. The success of these new models provides improved understanding about the interaction of network structure and transmission dynamics.
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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.