ArticleJournal of mathematical biology2013
Effective degree household network disease model.
Article in Journal of mathematical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Infection risk assessment for socially structured population using stochastic microexposure model.Journal of exposure science & environmental epidemiology · 2026Article
- Modeling the effect of observational social learning on parental decision-making for childhood vaccination and diseases spread over household networks.Frontiers in epidemiology · 2023Article
- Impact of information diffusion on epidemic spreading in partially mapping two-layered time-varying networks.Nonlinear dynamics · 2021Article
- High parental occupational social contact and risk of childhood hematopoietic, brain and bone cancers.Cancer epidemiology · 2019Article
- 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
- Optimizing hybrid spreading in metapopulations.Scientific reports · 2015Article
- Hybrid epidemics--a case study on computer worm conficker.PloS one · 2015Article
- The importance of contact network topology for the success of vaccination strategies.Journal of theoretical biology · 2013Article
- A network with tunable clustering, degree correlation and degree distribution, and an epidemic thereon.Journal of mathematical biology · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An ordinary differential equation (ODE) epidemiological model for the spread of a disease that confers immunity, such as influenza, is introduced incorporating both network topology and households. Since most individuals of a susceptible population are members of a household, including the household structure as an aspect of the contact network in the population is of significant interest. Epidemic curves derived from the model are compared with those from stochastic simulations, and shown to be in excellent agreement. Expressions for disease threshold parameters of the ODE model are derived analytically and interpreted in terms of the household structure. It is shown that the inclusion of households can slow down or speed up the disease dynamics, depending on the variance of the inter-household degree distribution. This model illustrates how households (clusters) can affect disease dynamics in a complicated way.
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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.