A new chaotic attractor in a basic multi-strain epidemiological model with temporary cross-immunity [PDF]
arXiv, 2007 An epidemic multi-strain model with temporary cross-immunity shows chaos, even in a previously unexpected parameter region. Especially dengue fever models with strong enhanced infectivity on secondary infection have previously shown deterministic chaos motivated by experimental findings of antibody-dependent-enhancement (ADE). Including temporary cross-
arxiv
Network infection source identification under the SIRI model [PDF]
arXiv, 2014 We study the problem of identifying a single infection source in a network under the susceptible-infected-recovered-infected (SIRI) model. We describe the infection model via a state-space model, and utilizing a state propagation approach, we derive an algorithm known as the heterogeneous infection spreading source (HISS) estimator, to infer the ...
arxiv
A spatial epidemic model with site contamination [PDF]
arXiv, 2017 We introduce the effect of site contamination in a model for spatial epidemic spread and show that the presence of site contamination may have a strict effect on the model in the sense that it can make an otherwise subcritical process supercritical.
arxiv
A node-based SIRS epidemic model with infective media on complex networks [PDF]
arXiv, 2019 In this paper, we focus on the node-based epidemic modeling for networks, introduce the propagation medium and propose a node-based Susceptible-Infected-Recovered-Susceptible (SIRS) epidemic model with infective media. Theoretical investigations show that the endemic equilibrium is globally asymptotically stable.
arxiv
Impact of heterogeneity on infection probability: Insights from single-hit dose-response models [PDF]
arXivThe process of infection of a host is complex, influenced by factors such as microbial variation within and between hosts as well as differences in dose across hosts. This study uses dose-response and within-host microbial infection models to delve into the impact of these factors on infection probability. It is rigorously demonstrated that within-host
arxiv
Finding an infection source under the SIS model [PDF]
arXiv, 2013 We consider the problem of identifying an infection source based only on an observed set of infected nodes in a network, assuming that the infection process follows a Susceptible-Infected-Susceptible (SIS) model. We derive an estimator based on estimating the most likely infection source associated with the most likely infection path.
arxiv
The initial configuration is irrelevant for the possibility of mutual unbounded growth in the two-type Richardson model [PDF]
Combinatorics, Probability & Computing 15:3, 345-353 (2006), 2015 The two-type Richardson model describes the growth of two competing infections on $\mathbb{Z}^d$. At time 0 two disjoint finite sets $\xi_1,\xi_2\subset \mathbb{Z}^d$ are infected with type 1 and type 2 infection respectively. An uninfected site then becomes type 1 (2) infected at a rate proportional to the number of type 1 (2) infected nearest ...
arxiv
Insights of public health measures to mitigate the growing threat of avian influenza in India. [PDF]
New Microbes New InfectRiaz E +5 more
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Characterisation of the virome of Culicoides brevitarsis Kieffer (Diptera: Ceratopogonidae), a vector of bluetongue virus in Australia. [PDF]
J Gen VirolSharpe SR +8 more
europepmc +1 more source
Immunoprofiles of COVID-19 uniquely differentiated from other viruses: A machine learning investigation of multiplex immunoassay data. [PDF]
PNAS NexusKaur A, Krishnan VV.
europepmc +1 more source