Results 11 to 20 of about 104,927 (266)

Barriers of COVID-19 vaccination in Ukraine during the war: the simulation study using ARIMA model

open access: yesРадіоелектронні і комп'ютерні системи, 2022
The COVID-19 pandemic has become a challenge to public health systems worldwide. As of June 2022, more than 545 million cases have been registered worldwide, more than 6.34 million of which have died.
Dmytro Chumachenko   +5 more
doaj   +1 more source

Assessing the impact of the russian war in Ukraine on COVID-19 transmission in Spain: a machine learning-based study

open access: yesРадіоелектронні і комп'ютерні системи, 2023
COVID-19 pandemic has significantly impacted the world, with millions of infections and deaths, healthcare systems overwhelmed, economies disrupted, and daily life changed.
Dmytro Chumachenko   +2 more
doaj   +1 more source

Epidemiological Implications of War: Machine Learning Estimations of the Russian Invasion’s Effect on Italy’s COVID-19 Dynamics

open access: yesComputation, 2023
Background: The COVID-19 pandemic has profoundly transformed the global scenario, marked by overwhelming infections, fatalities, overburdened healthcare infrastructures, economic upheavals, and significant lifestyle modifications.
Dmytro Chumachenko   +3 more
doaj   +1 more source

Suitable Methods for Solving COVID-19 Model in Iraq

open access: yesWasit Journal for Pure Sciences, 2023
Because the Coronavirus epidemic spread in Iraq, the COVID-19 epidemic of people quarantined due to infection is our application in this work. The numerical simulation methods used in this research are more suitable than other analytical and numerical ...
Maha A.Mohammed, Mahdi A. Sabea
doaj   +1 more source

Simulation of epidemic trends of 2019-nCoV epidemic trend under effective control measures [PDF]

open access: yesYixue xinzhi zazhi, 2020
Objective To simulate the epidemic trends of 2019-nCoV in a susceptible population under effective control measures.Methods Data was collected from public resources. Agent-based modeling (ABM) was used to modeling the epidemic trend of 2019-nCoV.
Ru-Hai BAI   +5 more
doaj   +1 more source

Comparing intervention measures in a model of a disease outbreak on a university campus

open access: yesRoyal Society Open Science, 2023
A number of theoretical models have been developed in recent years modelling epidemic spread in educational settings such as universities, often as part of efforts to inform re-opening strategies during the COVID-19 pandemic.
A. Best, P. Singh
doaj   +1 more source

A Flexible Spatial Framework for Modeling Spread of Pathogens in Animals with Biosurveillance and Disease Control Applications

open access: yesISPRS International Journal of Geo-Information, 2014
Biosurveillance activities focus on acquiring and analyzing epidemiological and biological data to interpret unfolding events and predict outcomes in infectious disease outbreaks.
Montiago X. LaBute   +4 more
doaj   +1 more source

Mathematical modeling of the spread of the coronavirus under strict social restrictions

open access: yesMathematical Methods in the Applied Sciences, EarlyView., 2021
We formulate a simple susceptible‐infectious‐recovery (SIR) model to describe the spread of the coronavirus under strict social restrictions. The transmission rate in this model is exponentially decreasing with time. We find a formula for basic reproduction function and estimate the maximum number of daily infected individuals.
Mo'tassem Al‐arydah   +3 more
wiley   +1 more source

Pandæsim: An Epidemic Spreading Stochastic Simulator [PDF]

open access: yesBiology, 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

A class of pairwise models for epidemic dynamics on weighted networks [PDF]

open access: yes, 2012
In this paper, we study the $SIS$ (susceptible-infected-susceptible) and $SIR$ (susceptible-infected-removed) epidemic models on undirected, weighted networks by deriving pairwise-type approximate models coupled with individual-based network simulation ...
Blyuss, Konstantin B.   +3 more
core   +2 more sources

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