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Analysis of Potential Risk of COVID-19 Infections in China Based on a Pairwise Epidemic Model
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.tpb.2007.09.007openalex-snapshot
Modelling disease spread through random and regular contacts in clustered populations
inferredcites →https://doi.org/10.1016/j.xinn.2020.100048openalex-snapshot
Modeling the Epidemic Trend of the 2019 Novel Coronavirus Outbreak in China
inferredcites →https://doi.org/10.1016/s0025-5564(02)00108-6openalex-snapshot
Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission
inferredcites →https://doi.org/10.1056/nejmoa2001316openalex-snapshot
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia
inferredcites →https://doi.org/10.1080/13873954.2010.496149openalex-snapshot
A closure approximation technique for epidemic models
inferredcites →https://doi.org/10.1098/rsif.2010.0179openalex-snapshot
Insights from unifying modern approximations to infections on networks
inferredcites →https://doi.org/10.1098/rspb.1997.0159openalex-snapshot
Correlation models for childhood epidemics
inferredcites →https://doi.org/10.1098/rsta.2016.0284openalex-snapshot
Spread of competing viruses on heterogeneous networks
inferredcites →https://doi.org/10.1101/2020.01.25.919787openalex-snapshot
Time-varying transmission dynamics of Novel Coronavirus Pneumonia in China
inferredcites →https://doi.org/10.1101/2020.01.28.923169openalex-snapshot
Beware of asymptomatic transmission: Study on 2019-nCoV prevention and control measures based on extended SEIR model
inferredcites →https://doi.org/10.1101/2020.02.04.20020438openalex-snapshot
The impact of traffic isolation in Wuhan on the spread of 2019-nCov
inferredcites →https://doi.org/10.1109/access.2019.2898639openalex-snapshot
The Computational Approach for the Basic Reproduction Number of Epidemic Models on Complex Networks
inferredcites →https://doi.org/10.1186/s40249-020-00640-3openalex-snapshot
A mathematical model for simulating the phase-based transmissibility of a novel coronavirus
inferredcites →https://doi.org/10.20944/preprints202002.0398.v1openalex-snapshot
Analysis of Potential Risk of COVID-19 Infections in China Based on a Pairwise Epidemic Model
inferredcites →https://doi.org/10.2307/2669581openalex-snapshot
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference
inferredcites →https://doi.org/10.2807/1560-7917.es.2020.25.3.2000044openalex-snapshot
Real-time tentative assessment of the epidemiological characteristics of novel coronavirus infections in Wuhan, China, as at 22 January 2020
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/rmv.2111openalex-snapshot
The basic reproduction number of SARS‐CoV‐2 in Wuhan is about to die out, how about the rest of the World?
inferred← citeshttps://doi.org/10.1016/j.rinp.2021.104248openalex-snapshot
A novel mathematical model for COVID-19 with remedial strategies
inferred← citeshttps://doi.org/10.1016/j.rinp.2021.104283openalex-snapshot
A new SEIAR model on small-world networks to assess the intervention measures in the COVID-19 pandemics
inferred← citeshttps://doi.org/10.1038/s41598-023-41420-xopenalex-snapshot
Behavioral vaccination policies and game-environment feedback in epidemic dynamics
inferred← citeshttps://doi.org/10.1038/s41598-025-34872-wopenalex-snapshot
A generalized SEIRW-VN framework for modeling infectious disease dynamics
inferred← citeshttps://doi.org/10.1051/mmnp/2020032openalex-snapshot
Analysis of the age-structured epidemiological characteristics of SARS-COV-2 transmission in mainland China: An aggregated approach
inferred← citeshttps://doi.org/10.1088/1478-3975/aba8ecopenalex-snapshot
Why COVID-19 models should incorporate the network of social interactions
inferred← citeshttps://doi.org/10.1101/2020.10.20.20212522openalex-snapshot
Analytical solution of equivalent SEIR and agent-based model of COVID-19; showing the bounds of contact tracing
inferred← citeshttps://doi.org/10.1140/epjp/s13360-023-04217-5openalex-snapshot
Transmission of SARS-CoV-2 on Barabási–Albert network under constant and variable rates of infection
inferred← citeshttps://doi.org/10.1140/epjp/s13360-023-04628-4openalex-snapshot
Numerical simulations with mitigation strategies on Barabási–Albert network for the spread of coronavirus in Pakistan
inferred← citeshttps://doi.org/10.3390/fractalfract6110661openalex-snapshot
Investigation of Novel Piecewise Fractional Mathematical Model for COVID-19
inferred← citeshttps://doi.org/10.3390/sym12060990openalex-snapshot
A Mathematical Model for the COVID-19 Outbreak and Its Applications
inferred← citeshttps://doi.org/10.3934/cpaa.2021154openalex-snapshot
Spatial dynamic analysis for COVID-19 epidemic model with diffusion and Beddington-DeAngelis type incidence
inferred← citeshttps://doi.org/10.3934/mbe.2020204openalex-snapshot
Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK
inferred← citeshttps://doi.org/10.3934/mbe.2020248openalex-snapshot
Impact of household quarantine on SARS-Cov-2 infection in mainland China: A mean-field modelling approach
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