Results 51 to 60 of about 37,265 (285)

Comparison of Some Numerical Simulation Techniques for COVID-19 Model in Iraq

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2023
The aim of our study is to solve a nonlinear epidemic model, which is the COVID-19 epidemic model in Iraq, through the application of initial value problems in the current study.
Maha A. Mohammed, Mahdi A. Sabea
doaj   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Research progress on biomarkers of traumatic brain injury

Animal Models and Experimental Medicine, EarlyView.
Traumatic brain injury: From primary insult to secondary neuroinflammation and degeneration. Abstract Traumatic brain injury (TBI) is a common disorder of the nervous system and has become a leading cause of death and disability worldwide, imposing a substantial burden on patients and their social circles. Its main symptoms include dyskinesia, language
Xuting Shen, Si Cheng, Shuyi Chen, Mengyue Wang, Tangying Li, Weicheng Xu, Yifan Zhang, Ping Yuan, Lei Shi   +8 more
wiley   +1 more source

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
doaj   +1 more source

Artificial Neural Network Driven Computational Modeling of Naegleria fowleri Epidemics Using Variational Optimization

Advanced Physics Research, EarlyView.
ABSTRACT This study presents a mathematical framework to analyze the transmission dynamics of an amoeba‐induced central nervous system infection. The population is divided into compartments including susceptible, exposed, infected, quarantined, hospitalized, recovered, protected, and deceased.
Wakeel Ahmed, Areej Yaseen, Ghulamullah Saeedi, Shakeel Ahmed   +3 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
doaj   +1 more source

The impact of movements and animal density on continental scale cattle disease outbreaks in the United States [PDF]

, 2014
Globalization has increased the potential for the introduction and spread of novel pathogens over large spatial scales necessitating continental-scale disease models to guide emergency preparedness.
Michael J. Tildesley (123224), Miller, Ryan S., Miller, Ryan S.,, Werkman, Marleen,, Buhnerkempe, Michael G.,, Katie Portacci (106341), Grear, Daniel A., Wennergren, Uno,, Lindström, Tom,, Webb, Colleen T.,, Katie Portacci, Keeling, Matt J., Werkman, Marleen, Buhnerkempe, Michael, Colleen T Webb, Lindström, Tom, Jason E. Lombard (543387), Lombard, Jason E., Tom Lindström, Michael J Tildesley, Grear, Daniel A.,, Keeling, Matt J.,, Wennergren, Uno, Colleen T. Webb (106335), Matt J. Keeling (251596), Ryan S. Miller (106337), Tom Lindström (106326), Webb, Colleen T., Marleen Werkman (543388), Portacci, Katie, Lombard, Jason E.,, Keeling, Matthew James, Jason E Lombard, Michael G. Buhnerkempe (212445), Tildesley, Michael J., Daniel A Grear, Daniel A. Grear (106330), Buhnerkempe, Michael G., Marleen Werkman, Portacci, Katie,, Uno Wennergren (106344), Ryan S Miller, Matt J Keeling, Uno Wennergren, Michael G Buhnerkempe, Tildesley, Michael J.,   +45 more
core   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

Time series analysis of leptospirosis incidence for forecasting in the Baltic countries using the ARIMA model

Радіоелектронні і комп'ютерні системи
Leptospirosis, 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
doaj   +1 more source

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, Lisa Sattenspiel, Erin Miller, Jessica Dimka   +3 more
doaj   +1 more source