Results 31 to 40 of about 3,054,124 (254)
Spatio-temporal epidemic modelling using additive-multiplicative intensity models [PDF]
, 2008 An extension of the stochastic susceptible-infectious-recovered (SIR) model is proposed in order to accommodate a regression context for modelling infectious disease surveillance data. The proposal is based on a multivariate counting process specified by
Höhle, Michael
core +1 more source
Pandæsim: An Epidemic Spreading Stochastic Simulator [PDF]
Biology, 2020 Many methods have been used to model epidemic spreading. They include ordinary differential equation systems for globally homogeneous environments and partial differential equation systems to take into account spatial localisation and inhomogeneity. Stochastic differential equations systems have been used to model the inherent stochasticity of epidemic
openaire +3 more sources
An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions
IEEE Access, 2021 The traditional agent-based model requires high computing power of the central processing unit. Thus, an improved agent-based model combined with the discrete event simulation method is proposed.
Hongbin Qiu +5 more
doaj +1 more source
Modeling and Simulation on Dynamics of Epidemic Disease Based on Social Division of Labor
, 2020 : Prediction is an essential part of the epidemic prevention and control system, and it is of great significance to accurately establish a dynamic model of epidemiological evolution.
Li, haibin
core +1 more source
Accuracy of models for the 2001 foot-and-mouth epidemic [PDF]
, 2008 Since 2001 models of the spread of foot-and-mouth disease, supported by the data from the UK epidemic, have been expounded as some of the best examples of problem-driven epidemic models.
Bessell, Paul R. +17 more
core +1 more source
Parameter estimation for the stochastic SIS epidemic model [PDF]
, 2014 In this paper we estimate the parameters in the stochastic SIS epidemic model by using pseudo-maximum likelihood estimation (pseudo-MLE) and least squares estimation.
Greenhalgh, David +3 more
core +4 more sources
Evaluating the impact of the weather conditions on the influenza propagation
BMC Infectious Diseases, 2020 Background Predicting the details of how an epidemic evolves is highly valuable as health institutions need to better plan towards limiting the infection propagation effects and optimizing their prediction and response capabilities. Simulation is a cost-
David E. Singh +5 more
doaj +1 more source
Network Analysis to Identify the Risk of Epidemic Spreading
Applied Sciences, 2021 Several epidemics, such as the Black Death and the Spanish flu, have threatened human life throughout history; however, it is unclear if humans will remain safe from the sudden and fast spread of epidemic diseases.
Kiseong Kim +4 more
doaj +1 more source
Episimmer : Epidemic Simulation Platform
, 2022 Episimmer is an Epidemic Simulation Platform. It aims to provide Decision and Recommendation Support to help answer your questions related to policies and restrictions during an epidemic. Using simulation techniques widely applied to other fields, we can
Enaganti, Inavamsi, Dheeshjith, Surya
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From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source