ArticleChinese science bulletin = Kexue tongbao2014
Spatial epidemiology of networked metapopulation: an overview.
Article in Chinese science bulletin = Kexue tongbao, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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.
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.
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of spatial epidemiological modeling approaches applied during the COVID-19 pandemic.BMC public health · 2026Pooled it
- A Systematic Review of Spatial Epidemiological Modeling Approaches Applied During the COVID-19 Pandemic.medRxiv : the preprint server for health sciences · 2025Article
- Metapopulation heterogeneities in host mobility, productivity, and immunocompetency always increase virulence and infectiousness.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Assessing the effectiveness of perimeter lockdowns as a response to epidemics at the urban scale.Scientific reports · 2023Article
- The unintended consequences of inconsistent closure policies and mobility restrictions during epidemics.BMC global and public health · 2023Article
- Influential nodes identification in complex networks: a comprehensive literature review.Beni-Suef University journal of basic and applied sciences · 2023Review
- Asymmetric host movement reshapes local disease dynamics in metapopulations.Scientific reports · 2022Article
- Optimizing COVID-19 surveillance using historical electronic health records of influenza infections.PNAS nexus · 2022Article
- SPARSEMODr: Rapidly simulate spatially explicit and stochastic models of COVID-19 and other infectious diseases.Biology methods & protocols · 2022Article
- Spatio-temporal spread of COVID-19: Comparison of the inhomogeneous SEPIR model and data from South Carolina.PloS one · 2022Article
- Diverse and nonlinear influences of built environment factors on COVID-19 spread across townships in China at its initial stage.Scientific reports · 2021Article
- Testing, tracing and isolation in compartmental models.PLoS computational biology · 2021Article
- Spread of COVID-19 in China: analysis from a city-based epidemic and mobility model.Cities (London, England) · 2021Article
- The Mayaro virus and its potential epidemiological consequences in Colombia: an exploratory biomathematics analysis.Parasites & vectors · 2020Article
- A New Era of Epidemiology: Digital Epidemiology for Investigating the COVID-19 Outbreak in China.Journal of medical Internet research · 2020Article
- Feasibility study of mitigation and suppression strategies for controlling COVID-19 outbreaks in London and Wuhan.PloS one · 2020Article
- Spatio-temporal simulation of the novel coronavirus (COVID-19) outbreak using the agent-based modeling approach (case study: Urmia, Iran).Informatics in medicine unlocked · 2020Article
- Coevolution spreading in complex networks.Physics reports · 2019Review
- EpiRank: Modeling Bidirectional Disease Spread in Asymmetric Commuting Networks.Scientific reports · 2019Article
- A decision-support framework to optimize border control for global outbreak mitigation.Scientific reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An emerging disease is one infectious epidemic caused by a newly transmissible pathogen, which has either appeared for the first time or already existed in human populations, having the capacity to increase rapidly in incidence as well as geographic range. Adapting to human immune system, emerging diseases may trigger large-scale pandemic spreading, such as the transnational spreading of SARS, the global outbreak of A(H1N1), and the recent potential invasion of avian influenza A(H7N9). To study the dynamics mediating the transmission of emerging diseases, spatial epidemiology of networked metapopulation provides a valuable modeling framework, which takes spatially distributed factors into consideration. This review elaborates the latest progresses on the spatial metapopulation dynamics, discusses empirical and theoretical findings that verify the validity of networked metapopulations, and the sketches application in evaluating the effectiveness of disease intervention strategies as well.
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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.