Results 51 to 60 of about 735,761 (286)
Epidemic modelling by ripple-spreading network and genetic algorithm [PDF]
, 2013 Mathematical analysis and modelling is central to infectious disease epidemiology. This paper, inspired by the natural ripple-spreading phenomenon, proposes a novel ripple-spreading network model for the study of infectious disease transmission.
Hu, Xiao-Bing +3 more
core +2 more sources
The newfound relationship between extrachromosomal DNAs and excised signal circles
FEBS Letters, EarlyView.Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source
Dose-response relationships for environmentally mediated infectious disease transmission models. [PDF]
PLoS Computational Biology, 2017 Environmentally mediated infectious disease transmission models provide a mechanistic approach to examining environmental interventions for outbreaks, such as water treatment or surface decontamination.
Andrew F Brouwer +4 more
doaj +1 more source
Optimizing agent-based transmission models for infectious diseases [PDF]
BMC Bioinformatics, 2015 Infectious disease modeling and computational power have evolved such that large-scale agent-based models (ABMs) have become feasible. However, the increasing hardware complexity requires adapted software designs to achieve the full potential of current high-performance workstations.We have found large performance differences with a discrete-time ABM ...
Willem, Lander +5 more
openaire +4 more sources
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Are amyloids infectious? Prions and prion-like proteins: myths and facts [PDF]
, 2018 Transmissible Spongiform Encephalopathies (TSEs) or prion diseases are a group of fatal neurodegenerative disorders affecting mammals. Albeit their low incidence in humans, prion diseases are a subject of passionate research due to their unorthodox ...
Morales Loyola, Rodrigo
core
Local risk perception enhances epidemic control
, 2018 As infectious disease outbreaks emerge, public health agencies often enact vaccination and social distancing measures to slow transmission. Their success depends on not only strategies and resources, but also public adherence.
Herrera, José L., Meyers, Lauren Ancel
core +1 more source
Extracting the time-dependent transmission rate from infection data via solution of an inverse ODE problem [PDF]
, 2012 The transmission rate of many acute infectious diseases varies significantly in time, but the underlying mechanisms are usually uncertain. They may include seasonal changes in the environment, contact rate, immune system response, etc.
Anderson R. M. +10 more
core +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Iterated filtering methods for Markov process epidemic models
, 2018 Dynamic epidemic models have proven valuable for public health decision makers as they provide useful insights into the understanding and prevention of infectious diseases. However, inference for these types of models can be difficult because the disease
Stocks, Theresa
core +1 more source