Results 91 to 100 of about 104,927 (266)
Data Management in EpiGraph COVID-19 Epidemic Simulator
The transmission of COVID-19 through a population depends on many factors which model, incorporate, and integrate a large number of heterogeneous data sources. The work we describe in this paper focuses on the data management aspect of EpiGraph, a scalable agent-based virus-propagation simulator.
Guzmán-Merino, Miguel +6 more
openaire +2 more sources
The goal of this work is to look at how a nonlinear model describes hematopoiesis and its complexities utilizing commonly used techniques with historical and material links. Based on time delay, the Mackey–Glass model is explored in two instances. To offer a range, the relevance of the parameter impacting stability (bifurcation) is recorded.
Shuai Zhang +5 more
wiley +1 more source
Forecasting SARS-CoV-2 epidemic dynamic in Poland with the pDyn agent-based model
We employ pDyn (derived from “pandemics dynamics”), an agent-based epidemiological model, to forecast the fourth wave of the SARS-CoV-2 epidemic, primarily driven by the Delta variant, in Polish society.
Karol Niedzielewski +18 more
doaj +1 more source
We demonstrate how direct simulation of stochastic, individual-based models can be combined with continuum numerical analysis techniques to study the dynamics of evolving diseases.
Andreasen V. +5 more
core +1 more source
Numerical Investigation of a Diffusive SIR Model: Focus on Positivity Preservation
ABSTRACT In this paper, we consider a system of semilinear partial differential equations (PDEs) representing a spatially extended SIR epidemic model. A brief analytical investigation of the well‐posedness and positivity of the solutions is provided in the appendix, while the main focus is on the numerical treatment of the model.
Rahele Mosleh +2 more
wiley +1 more source
Epidemic Spreading in Urban Areas Using Agent-Based Transportation Models
Human mobility is a key element in the understanding of epidemic spreading. Thus, correctly modeling and quantifying human mobility is critical for studying large-scale spatial transmission of infectious diseases and improving epidemic control.
Jürgen Hackl, Thibaut Dubernet
doaj +1 more source
Effects of Contact Network Models on Stochastic Epidemic Simulations
The importance of modeling the spread of epidemics through a population has led to the development of mathematical models for infectious disease propagation.
A Goldenberg +22 more
core +1 more source
Spatial synchrony of population fluctuations has major consequences for the impacts of forest insect pest outbreaks at regional scales. We tested the predictions that the strength and drivers of this synchrony would differ among species according to their dispersal abilities and feeding guilds.
Kyle J. Haynes +5 more
wiley +1 more source
Possible computational structures are explored for an epidemic simulation tool comprising communicating programs on mobile phones and server(s). Through calculations distributed among devices, such a tool or computational structure could in approximately
Yael Evelyn Marshall
doaj +1 more source
Simulation of epidemic protocols
We live in a digital era, in a world connected by technology. The incredible capabilities of our mobile phones and computers let us communicate and get data from all over the globe, in the instance of a millisecond. However, technological progress doesn’t stop.
openaire +1 more source

