ArticleProceedings of the National Academy of Sciences of the United States of America2010
Individual identity and movement networks for disease metapopulations.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 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
63 citing papers in PubMed.
- How host mobility formulations shape estimates of pathogen dispersal and epidemic risk in non endemic regions.PLoS computational biology · 2026Article
- Emulating computer models with high-dimensional count output.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Integrating dynamical modeling and phylogeographic inference to characterize global influenza circulation.PNAS nexus · 2025Article
- Epidemiological characteristics and transmission dynamics of dengue fever in China.Nature communications · 2024Article
- Integrating dynamical modeling and phylogeographic inference to characterize global influenza circulation.medRxiv : the preprint server for health sciences · 2024Article
- Article
- A real-time regional model for COVID-19: Probabilistic situational awareness and forecasting.PLoS computational biology · 2023Article
- Considering humans as habitat reveals evidence of successional disease ecology among human pathogens.PLoS biology · 2022Article
- Estimating the effective reproduction number for heterogeneous models using incidence data.Royal Society open science · 2022Article
- The effects of local homogeneity assumptions in metapopulation models of infectious disease.Royal Society open science · 2022Article
- Managing public transit during a pandemic: The trade-off between safety and mobility.Transportation research. Part C, Emerging technologies · 2022Article
- Mathematical modeling in perspective of vector-borne viral infections: a review.Beni-Suef University journal of basic and applied sciences · 2022Review
- The role of habitat configuration in shaping animal population processes: a framework to generate quantitative predictions.Oecologia · 2021Article
- Sheep scab spatial distribution: the roles of transmission pathways.Parasites & vectors · 2021Article
- Using syndromic measures of mortality to capture the dynamics of COVID-19 in Java, Indonesia, in the context of vaccination rollout.BMC medicine · 2021Article
- A Spatiotemporal Tool to Project Hospital Critical Care Capacity and Mortality From COVID-19 in US Counties.American journal of public health · 2021Article
- Comparing metapopulation dynamics of infectious diseases under different models of human movement.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Simulating COVID-19 in a university environment.Mathematical biosciences · 2020Article
- SBDiEM: A new mathematical model of infectious disease dynamics.Chaos, solitons, and fractals · 2020Article
- Time-aggregated mobile phone mobility data are sufficient for modelling influenza spread: the case of Bangladesh.Journal of the Royal Society, Interface · 2020Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The theory of networks has had a huge impact in both the physical and life sciences, shaping our understanding of the interaction between multiple elements in complex systems. In particular, networks have been extensively used in predicting the spread of infectious diseases where individuals, or populations of individuals, interact with a limited set of others-defining the network through which the disease can spread. Here for such disease models we consider three assumptions for capturing the network of movements between populations, and focus on two applied problems supported by detailed data from Great Britain: the commuter movement of workers between local areas (wards) and the permanent movement of cattle between farms. For such metapopulation networks, we show that the identity of individuals responsible for making network connections can have a significant impact on the infection dynamics, with clear implications for detailed public health and veterinary applications.
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.