A Methodology For Performing Global Uncertainty And Sensitivity Analysis In Systems Biology
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TLDR
This work develops methods for applying existing analytical tools to perform analyses on a variety of mathematical and computer models and provides a complete methodology for performing these analyses, in both deterministic and stochastic settings, and proposes novel techniques to handle problems encountered during these types of analyses.About:
This article is published in Journal of Theoretical Biology.The article was published on 2008-09-07 and is currently open access. It has received 2014 citations till now. The article focuses on the topics: Uncertainty analysis & Sensitivity analysis.read more
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A mathematical model of COVID-19 transmission between frontliners and the general public
Christian Alvin H. Buhat,Monica C Torres,Yancee H. Olave,Maica Krizna Areja Gavina,Edd Francis O. Felix,Gimelle B Gamilla,Kyrell Vann B. Verano,Ariel L. Babierra,Jomar F. Rabajante,Jomar F. Rabajante +9 more
TL;DR: A conceptual mathematical model is formulated on the transmission dynamics of COVID-19 between the frontliners and the general public and reminds us of the importance of community effort in controlling the transmission of the disease.
Journal ArticleDOI
Differential characteristics of primary infection and re-infection can cause backward bifurcation in HCV transmission dynamics
TL;DR: Five parameters of the model are identified, using sensitivity analysis, that have the most influence on the disease transmission dynamics, namely: effective contact rate, progression rate from acute to chronic infection, recovery rates from acute infection, natural death rate and the relative infectiousness of chronically-infected individuals.
Journal ArticleDOI
Global Dynamics and Applications of an Epidemiological Model for Hepatitis C Virus Transmission in China
TL;DR: Numerical simulations show that increasing the treatment cure rate and enlarging the treatment rate for patients at the chronic stage remain effective in reducing the number of new infections and the equilibrium prevalence, suggesting that treatment measures are significantly beneficial for disease control.
Journal ArticleDOI
Relative importance of sexual and asexual reproduction for range expansion of Spartina alterniflora in different tidal zones on Chinese coast
TL;DR: The results showed that: 1) sexual reproduction is thought to accelerate the range expansion in middle and high tidal zones; 2) seed dispersal and adult survival rate are the two most important for range expansion of S. alterniflora during most invasion stages in all tidal zones.
Dissertation
Modelling Ozonation Processes for Disinfection By-Product Control in Potable Water Treatment: From Laboratory to Industrial Units
TL;DR: An integrated modelling procedure for industrial ozonation processes for predicting concentration profiles of ozone, bromate and specific micropollutants is developed and a full-scale study showed that models calibrated at lab-scale may be used directly on-site to predict the formation of bromates and ozone profiles.
References
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Book
An Introduction to Multivariate Statistical Analysis
TL;DR: In this article, the distribution of the Mean Vector and the Covariance Matrix and the Generalized T2-Statistic is analyzed. But the distribution is not shown to be independent of sets of Variates.
Journal ArticleDOI
A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
TL;DR: In this paper, two sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies and they are shown to be improvements over simple sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.
Journal Article
Factorial sampling plans for preliminary computational experiments
TL;DR: The proposed experimental plans are composed of individually randomized one-factor-at-a-time designs, and data analysis is based on the resulting random sample of observed elementary effects, those changes in an output due solely to changes in a particular input.
Journal ArticleDOI
Factorial sampling plans for preliminary computational experiments
TL;DR: In this article, the problem of designing computational experiments to determine which inputs have important effects on an output is considered, and experimental plans are composed of individually randomized one-factor-at-a-time designs, and data analysis is based on the resulting random sample of observed elementary effects.