ArticlePhysica A2013
Effects of delayed recovery and nonuniform transmission on the spreading of diseases in complex networks.
Article in Physica A, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Construction of effective reproduction number of infectious disease individuals based on spatiotemporal discriminant search model: take hand-foot-mouth disease as an example.BMC medical research methodology · 2024Article
- SEAIR Epidemic spreading model of COVID-19.Chaos, solitons, and fractals · 2021Article
- Tracing Technological Development Trajectories: A Genetic Knowledge Persistence-Based Main Path Approach.PloS one · 2017Article
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- Investigation on law and economics of listed companies' financing preference based on complex network theory.PloS one · 2017Article
- Rumor Detection over Varying Time Windows.PloS one · 2017Article
- Pattern transitions in spatial epidemics: Mechanisms and emergent properties.Physics of life reviews · 2016Review
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- Coupled disease-behavior dynamics on complex networks: A review.Physics of life reviews · 2015Review
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- Geographic wormhole detection in wireless sensor networks.PloS one · 2015Article
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- Effects of behavioral response and vaccination policy on epidemic spreading--an approach based on evolutionary-game dynamics.Scientific reports · 2014Article
- Spatial epidemiology of networked metapopulation: an overview.Chinese science bulletin = Kexue tongbao · 2014Article
- Evolution with reinforcement learning in negotiation.PloS one · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We investigate the effects of delaying the time to recovery (delayed recovery) and of nonuniform transmission on the propagation of diseases on structured populations. Through a mean-field approximation and large-scale numerical simulations, we find that postponing the transition from the infectious to the recovered states can largely reduce the epidemic threshold, therefore promoting the outbreak of epidemics. On the other hand, if we consider nonuniform transmission among individuals, the epidemic threshold increases, thus inhibiting the spreading process. When both mechanisms are at work, the latter might prevail, hence resulting in an increase of the epidemic threshold with respect to the standard case, in which both ingredients are absent. Our findings are of interest for a better understanding of how diseases propagate on structured populations and to a further design of efficient immunization strategies.
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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.