Results 71 to 80 of about 3,145,515 (147)

Infection dynamics for fluctuating infection or removal rates regarding the number of infected and susceptible individuals [PDF]

arXiv
In general, the rates of infection and removal (whether through recovery or death) are nonlinear functions of the number of infected and susceptible individuals. One of the simplest models for the spread of infectious diseases is the SIR model, which categorizes individuals as susceptible, infectious, recovered or deceased. In this model, the infection
arxiv  

Systematic reviews of point-of-care tests for the diagnosis of urogenital Chlamydia trachomatis infections

Sexually Transmitted Infections, 2017
Background WHO estimates that 131 million new cases of urogenital Chlamydia trachomatis (CT) infections occur globally every year. Most infections are asymptomatic. Untreated infection in women can lead to severe complications. Screening and treatment of
H. Kelly, C. Coltart, Nitika Pant Pai, J. Klausner, M. Unemo, I. Toskin, R. Peeling   +6 more
semanticscholar   +1 more source

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  

Multi-Drug-Resistant Gram-Negative Infections in Deployment-Related Trauma Patients.

Surgical Infections, 2017
BACKGROUND The contribution of multi-drug-resistant gram-negative bacilli infections (MDRGN-I) in patients with trauma is not well described. We present characteristics of MDRGN-Is among military personnel with deployment-related trauma (2009-2014 ...
Wesley R. Campbell, Ping Li, T. Whitman, D. Blyth, E. Schnaubelt, K. Mende, D. Tribble   +6 more
semanticscholar   +1 more source

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]

arXiv
The 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