Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters











Database
Language
Publication year range
1.
PLoS One ; 16(5): e0251349, 2021.
Article in English | MEDLINE | ID: mdl-33984035

ABSTRACT

This paper contains a theoretical study of epidemic control. It is inspired by current events but not intended to be an accurate depiction of the SARS-CoV-2 pandemic. We consider the emergence of a highly transmissible pathogen, focusing on metropolitan areas. To ensure some degree of realism, we present a conceptual model of the outbreak and early attempts to stave off the onslaught, including the use of lockdowns. Model outputs show strong qualitative-in some respects even quantitative-resemblance to the events of Spring 2020 in many cities worldwide. We then use this model to project forward in time to examine different paths in epidemic control after the initial surge is tamed and before the arrival of vaccines. Three very different control strategies are analyzed, leading to vastly different outcomes in terms of economic recovery and total infected population (or progress toward herd immunity). Our model, which is a version of the SEIQR model, is a time-dependent dynamical system with feedback-control. One of the main conclusions of this analysis is that the course of the epidemic is not entirely dictated by the virus: how the population responds to it can play an equally important role in determining the eventual outcome.


Subject(s)
COVID-19/epidemiology , COVID-19/prevention & control , Algorithms , COVID-19/immunology , Cities/epidemiology , Communicable Disease Control , Disease Outbreaks , Epidemiological Monitoring , Humans , Immunity, Herd , Models, Statistical , SARS-CoV-2/isolation & purification
2.
Math Med Biol ; 38(2): 255-271, 2021 06 15.
Article in English | MEDLINE | ID: mdl-33626571

ABSTRACT

This paper focuses on the derivation and simulation of mathematical models describing new plasma fraction in blood for patients undergoing simultaneous extracorporeal membrane oxygenation and therapeutic plasma exchange. Models for plasma exchange with either veno-arterial or veno-venous extracorporeal membrane oxygenation are considered. Two classes of models are derived for each case, one in the form of an algebraic delay equation and another in the form of a system of delay differential equations. In special cases, our models reduce to single compartment ones for plasma exchange that have been validated with experimental data (Randerson et al., 1982, Artif. Organs, 6, 43-49). We also show that the algebraic differential equations are forward Euler discretizations of the delay differential equations, with timesteps equal to transit times through model compartments. Numerical simulations are performed to compare different model types, to investigate the impact of plasma device port switching on the efficiency of the exchange process, and to study the sensitivity of the models to their parameters.


Subject(s)
Extracorporeal Membrane Oxygenation , Computer Simulation , Humans , Kinetics , Models, Theoretical , Plasma Exchange
SELECTION OF CITATIONS
SEARCH DETAIL