Results 51 to 60 of about 3,054,124 (254)
Scalable parallel and distributed simulation of an epidemic on a graph
PLOS ONE, 2023 We propose an algorithm to simulate Markovian SIS epidemics with homogeneous rates and pairwise interactions on a fixed undirected graph, assuming a distributed memory model of parallel programming and limited bandwidth. This setup can represent a broad class of simulation tasks with compartmental models.
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Multi-scale simulation of COVID-19 epidemics
CoRR, 2021 M2 internship report for ENSIMAG ...
Benoit Doussin +2 more
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Intelligent Programmable Membrane Nanosponge for Early Virus Blocking
Advanced Science, EarlyView.A smart programmable nanosponge (ACNPs) displays high‐density viral receptors on its membrane and encapsulates fusion inhibitors to capture virions at the infection source through competitive binding and blocks their entry through protease inhibition for ultra‐early cascade interception. This modular, mucus‐penetrating platform shifts antiviral defence
Ze Chen +17 more
wiley +1 more source
Estimation of Coronavirus Disease Case-Fatality Risk in Real Time
Emerging Infectious Diseases, 2020 We ran a simulation comparing 3 methods to calculate case-fatality risk for coronavirus disease using parameters described in previous studies. Case-fatality risk calculated from these methods all are biased at the early stage of the epidemic.
Yang Ge, Shengzhi Sun
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NiemaGraphGen: A memory-efficient global-scale contact network simulation toolkit
GigaByte, 2022 Epidemic simulations require the ability to sample contact networks from various random graph models. Existing methods can simulate city-scale or even country-scale contact networks, but they are unable to feasibly simulate global-scale ...
Niema Moshiri
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Epidemics in nonrandomly mixing populations: A simulation [PDF]
American Journal of Physical Anthropology, 1987 AbstractTwo stochastic, discrete‐time simulation models for the spread of an epidemic through a population are presented. The models expolore the effects of nonrandom mixing within the population and are based on an SIR epidemic model without vital statistics.
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EpidemicSim: Epidemic simulation system with realistic mobility [PDF]
37th Annual IEEE Conference on Local Computer Networks -- Workshops, 2012 Much attention has been paid to modeling human behavior and social interactions for epidemic and pandemic predictions. Nearly all of these models and predictive simulations rely on synthetic individuals to simulate social patterns using data gathered from databases such as census and transportation information.
Steven Kopman +2 more
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Advanced Science, EarlyView.The transcription factor MoSR governs DMI fungicide sensitivity in Magnaporthe oryzae through dual regulation of ergosterol biosynthesis and the detoxification enzyme MoDde1. Targeting MoDde1 via a small‐molecule inhibitor or host‐induced gene silencing enhances DMI efficacy against rice blast, offering a sustainable disease management strategy ...
Fan‐Zhu Meng +10 more
wiley +1 more source
Радіоелектронні і комп'ютерні системиLeptospirosis, a zoonotic disease with significant public health implications, presents considerable forecasting challenges due to its seasonal patterns and environmental sensitivity, especially in under-researched regions like the Baltic countries. This
Mykola Butkevych, Dmytro Chumachenko
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Defining epidemics in computer simulation models: How do definitions influence conclusions?
Epidemics, 2017 Computer models have proven to be useful tools in studying epidemic disease in human populations. Such models are being used by a broader base of researchers, and it has become more important to ensure that descriptions of model construction and data ...
Carolyn Orbann +3 more
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