Results 61 to 70 of about 39,047,150 (349)
Effects of age-targeted sequestration for COVID-19
We model the extent to which age-targeted protective sequestration can be used to reduce ICU admissions caused by novel coronavirus COVID-19. Using demographic data from New Zealand, we demonstrate that lowering the age threshold to 50 years of age ...
Alastair Jamieson-Lane, Eric Cytrynbaum
doaj +1 more source
Background The objective of this study was to detect the urinary levels of dimethoate, benzo(a) pyrene (BaP), and bisphenol A (BPA) in first-year Hohai University students with different geographic origins.
Yu-Juan Xu +15 more
doaj +1 more source
Thermal injury following burns is a common clinical condition. Excessive systemic inflammatory response syndrome (SIRS) following burns leads to distant organ damage and multiple organ dysfunction syndrome (MODS). Development of in vivo experimental models of burns over the past 50 years have facilitated the study of the effects of thermal injury on ...
openaire +2 more sources
Stochastic SIR model with jumps
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xianghua Zhang, Ke Wang
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Mobility Based SIR Model For Pandemics - With Case Study Of COVID-19 [PDF]
In the last decade, humanity has faced many different pandemics such as SARS, H1N1, and presently novel coronavirus (COVID-19). On one side, scientists are focusing on vaccinations, and on the other side, there is a need to propose models that can help ...
Rahul Goel, Rajesh Sharma
semanticscholar +1 more source
19 pages, 9 figures, submitted for publication to J.
Davide Marenduzzo +3 more
openaire +4 more sources
The Stiffness Phenomena for the Epidemiological SIR Model: a Numerical Approach
Mathematical models are among the most successful strategies for predicting the dynamics of a disease spreading in a population. Among them, the so-called compartmental models, where the total population is proportionally divided into compartments, are ...
Marline Ilha da Silva +4 more
doaj
Fast and principled simulations of the SIR model on temporal networks [PDF]
The Susceptible–Infectious–Recovered (SIR) model is the canonical model of epidemics of infections that make people immune upon recovery. Many of the open questions in computational epidemiology concern the underlying contact structure’s impact on models
P. Holme
semanticscholar +1 more source
Network-based prediction of COVID-19 epidemic spreading in Italy
Initially emerged in the Chinese city Wuhan and subsequently spread almost worldwide causing a pandemic, the SARS-CoV-2 virus follows reasonably well the Susceptible–Infectious–Recovered (SIR) epidemic model on contact networks in the Chinese case.
Clara Pizzuti +3 more
doaj +1 more source

