scholarly journals A Compartmental Model for Capillary Supply

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Liang Sun ◽  
Junkoo Park ◽  
Alessandra Barrera
Keyword(s):  
Compartmental Model ◽  
Capillary Supply

scholarly journals A compartmental model for capillary supply

2017 ◽  
Vol 4 (1) ◽  
pp. 133-147
Author(s):  
Liang Sun ◽  
Junkoo Park ◽  
Alessandra L. Barrera
Keyword(s):  
Compartmental Model ◽  
Capillary Supply

FURTHER CONSIDERATIONS ON THE CALCULATIONS OF SECRETION RATES. A CORRECTION

1961 ◽  
Vol 38 (3) ◽  
pp. 469-472 ◽  
Author(s):  
K. R. Laumas ◽  
J. F. Tait ◽  
S. A. S. Tait
Keyword(s):  
Steady State ◽  
Compartmental Model ◽  
Single Injection ◽  
Previous Treatment ◽  
Urinary Metabolite ◽  
Theoretical Treatment ◽  
Basic Equations ◽  
Special Circumstances ◽  
Secretion Rates

ABSTRACT Reconsideration of the question of the validity of the calculations of the secretion rates from the specificity activity of a urinary metabolite after the single injection of a radioactive hormone has led us to conclude that the basic equations used in a previous theoretical treatment are not generally applicable to the nonisotopic steady state if the radioactive steroid and hormone are introduced into the same compartment. If this is so, in a two compartmental model with metabolism occurring in both pools, it is now shown that the calculation (S = R — τ) is rigorously valid if certain precautions are taken. This is in contrast to the previous treatment which concluded (in certain special circumstances) that the calculation might not be correct. However, if the hormone is secreted in both compartments and the radioactive steroid is injected into only one, then the calculation (S = R — τ) may not be correct in certain circumstances as was previously concluded (Laumas et al. 1961).

A Division-Dependent Compartmental Model for Computing Cell Numbers in CFSE-based Lymphocyte Proliferation Assays

2012 ◽  
Author(s):  
H. T. Banks ◽  
W. C. Thompson ◽  
Cristina Peligero ◽  
Sandra Giest ◽  
Jordi Argilaguet ◽  
...  
Keyword(s):  
Lymphocyte Proliferation ◽  
Compartmental Model ◽  
Cell Numbers ◽  
Proliferation Assays

scholarly journals Modelling COVID-19 transmission in Africa: countrywise projections of total and severe infections under different lockdown scenarios

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e044149
Author(s):  
Isabel Frost ◽  
Jessica Craig ◽  
Gilbert Osena ◽  
Stephanie Hauck ◽  
Erta Kalanxhi ◽  
...  
Keyword(s):  
Vulnerable Populations ◽  
Compartmental Model ◽  
African Continent ◽  
Economic Costs ◽  
African Countries ◽  
Exponential Increase ◽  
Progression Of Disease ◽  
Severe Infections ◽  
Potential Impact ◽  
Hiv Aids

ObjectivesAs of 13 January 2021, there have been 3 113 963 confirmed cases of SARS-CoV-2 and 74 619 deaths across the African continent. Despite relatively lower numbers of cases initially, many African countries are now experiencing an exponential increase in case numbers. Estimates of the progression of disease and potential impact of different interventions are needed to inform policymaking decisions. Herein, we model the possible trajectory of SARS-CoV-2 in 52 African countries under different intervention scenarios.DesignWe developed a compartmental model of SARS-CoV-2 transmission to estimate the COVID-19 case burden for all African countries while considering four scenarios: no intervention, moderate lockdown, hard lockdown and hard lockdown with continued restrictions once lockdown is lifted. We further analysed the potential impact of COVID-19 on vulnerable populations affected by HIV/AIDS and tuberculosis (TB).ResultsIn the absence of an intervention, the most populous countries had the highest peaks in active projected number of infections with Nigeria having an estimated 645 081 severe infections. The scenario with a hard lockdown and continued post-lockdown interventions to reduce transmission was the most efficacious strategy for delaying the time to the peak and reducing the number of cases. In South Africa, projected peak severe infections increase from 162 977 to 2 03 261, when vulnerable populations with HIV/AIDS and TB are included in the analysis.ConclusionThe COVID-19 pandemic is rapidly spreading across the African continent. Estimates of the potential impact of interventions and burden of disease are essential for policymakers to make evidence-based decisions on the distribution of limited resources and to balance the economic costs of interventions with the potential for saving lives.

scholarly journals A New Transmission Route for the Propagation of the SARS-CoV-2 Coronavirus

Biology ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 10
Author(s):  
Antoine Danchin ◽  
Tuen Wai Ng ◽  
Gabriel Turinici
Keyword(s):  
Compartmental Model ◽  
Transmission Route ◽  
Future Trends ◽  
Prevention Measures ◽  
Public Records ◽  
Specific Strategy ◽  
Virus Tropism ◽  
The World ◽  
Novel Coronavirus ◽  
Existing Data

Background: Starting late 2019, a novel coronavirus spread from the capital of the Hubei province in China to the rest of the country, then to most of the world. To anticipate future trends in the development of the pandemic, we explore here, based on public records of infected persons, how variation in the virus tropism could end up in different patterns, warranting a specific strategy to handle the epidemic. Methods: We use a compartmental model to describe the evolution of an individual through several possible states: susceptible, infected, alternative infection, detected, and removed. We fit the parameters of the model to the existing data, taking into account significant quarantine changes where necessary. Results: The model indicates that Wuhan quarantine measures were effective, but that alternative virus forms and a second propagation route are compatible with available data. For the Hong Kong, Singapore, and Shenzhen regions, the secondary route does not seem to be active. Conclusions: Hypotheses of an alternative infection tropism (the gut tropism) and a secondary propagation route are discussed using a model fitted by the available data. Corresponding prevention measures that take into account both routes should be implemented to the benefit of epidemic control.

A probabilistic epidemiological model

2021 ◽  
Vol 16 (1) ◽  
pp. 15-23
Author(s):  
Hal M. Switkay
Keyword(s):  
United States ◽  
United Kingdom ◽  
United States Of America ◽  
Compartmental Model ◽  
The United States ◽  
Epidemiological Model ◽  
Probabilistic Methods ◽  
Infinite Intervals ◽  
Best Fit ◽  
Family Of Distributions

We construct a model for the progress of the 2020 coronavirus epidemic in the United States of America, using probabilistic methods rather than the traditional compartmental model. We employ the generalized beta family of distributions, including those supported on bounded intervals and those supported on semi-infinite intervals. We compare the best-fit distributions for daily new cases and daily new deaths in America to the corresponding distributions for United Kingdom, Spain, and Italy. We explore how such a model might be justified theoretically in comparison to the apparently more natural compartmental model. We compare forecasts based on these models to observations, and find the forecasts useful in predicting total pandemic deaths.

scholarly journals Mathematical model of COVID-19 intervention scenarios for São Paulo—Brazil

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Osmar Pinto Neto ◽  
Deanna M. Kennedy ◽  
José Clark Reis ◽  
Yiyu Wang ◽  
Ana Carolina Brisola Brizzi ◽  
...  
Keyword(s):  
Compartmental Model ◽  
Time Window ◽  
Algorithm Design ◽  
Sao Paulo ◽  
Intervention Strategies ◽  
Transmission Dynamics ◽  
São Paulo ◽  
Protective Behavior ◽  
Social Distancing ◽  
Multi Objective Genetic Algorithm

AbstractWith COVID-19 surging across the world, understanding the effectiveness of intervention strategies on transmission dynamics is of primary global health importance. Here, we develop and analyze an epidemiological compartmental model using multi-objective genetic algorithm design optimization to compare scenarios related to strategy type, the extent of social distancing, time window, and personal protection levels on the transmission dynamics of COVID-19 in São Paulo, Brazil. The results indicate that the optimal strategy for São Paulo is to reduce social distancing over time with a stepping-down reduction in the magnitude of social distancing every 80-days. Our results also indicate that the ability to reduce social distancing depends on a 5–10% increase in the current percentage of people strictly following protective guidelines, highlighting the importance of protective behavior in controlling the pandemic. Our framework can be extended to model transmission dynamics for other countries, regions, states, cities, and organizations.

scholarly journals A compartmental model for the bicoid gradient

2010 ◽  
Vol 345 (1) ◽  
pp. 12-17 ◽  
Author(s):  
Michail E. Kavousanakis ◽  
Jitendra S. Kanodia ◽  
Yoosik Kim ◽  
Ioannis G. Kevrekidis ◽  
Stanislav Y. Shvartsman
Keyword(s):  
Compartmental Model

A multiperiod compartmental model of the HIV pandemic in the United States

1991 ◽  
Vol 25 (3) ◽  
pp. 167-178 ◽  
Author(s):  
Allan M. Salzberg ◽  
Stanley L. Dolins ◽  
Carol Salzberg
Keyword(s):  
United States ◽  
Compartmental Model ◽  
The United States
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