Mathematical modeling | Mathematical analysis | Sensitivity analysis

Applications of sensitivity analysis in epidemiology

Sensitivity analysis studies the relation between the uncertainty in a model-based the inference and the uncertainties in the model assumptions. Sensitivity analysis can play an important role in epidemiology, for example in assessing the influence of the unmeasured confounding on the causal conclusions of a study. It is also important in all mathematical modelling studies of epidemics. Sensitivity analysis can be used in epidemiology, for example in assessing the influence of the unmeasured confounding on the causal conclusions of a study. The use of sensitivity analysis in mathematical modelling of infectious disease is suggested in on the Coronavirus disease 2019 outbreak. Given the significant uncertainty at play, the use of sensitivity analysis to apportion the output uncertainty into input parameters is crucial in the context of Decision-making. Examples of applications of sensitivity analysis to modelling of COVID-19 are and. in particular, the time of intervention time in containing the pandemic spread is identified as a key parameter. (Wikipedia).

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Sensitivity Analysis

Overview of various methods for sensitivity analysis in the UQ of subsurface systems

From playlist Uncertainty Quantification

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04 1 Local Sensitivity Analysis

Local sensitivity analysis

From playlist QUSS GS 260

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Chapter 12 Sensitivity Specificity Predictive Values Odds Ratios

Ever wandered how to calculate sensitivity, specificity, positive and negative predictive values or odds ratios or even simply what these terms mean? Watch this short lecture.

From playlist Medical Statistics

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Sensitivity (Electrical Engineering)

https://www.patreon.com/edmundsj If you want to see more of these videos, or would like to say thanks for this one, the best way you can do that is by becoming a patron - see the link above :). And a huge thank you to all my existing patrons - you make these videos possible. In this video

From playlist Advanced Circuit Design

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Sensitivity Specificity PPV and NPV

We end of this series by looking at the accuracy and use of medical tests through the concepts of sensitivity, specificity,positive and negative predictive values.

From playlist Learning medical statistics with python and Jupyter notebooks

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04-2 Sensitivity Analysis Global

Sobol' and regionalized sensitivity analysis

From playlist QUSS GS 260

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Muin Khoury on Precision Public Health in the Era of Precision Medicine

Muin J. Khoury MD, PhD, from the CDC Office of Public Health Genomics, delivers the keynote address at the 2015 Stanford Center for Population Health Sciences Annual Colloquium. He discusses some of the challenges of precision medicine, including how your zip code is more important for you

From playlist Stanford Population Health Sciences

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City-Scale Simulation Model of COVID-19 Spread

Forecasting models for COVID-19 at the national and state levels have been common, but few have accounted for SARS-CoV-2 transmission at city or smaller scales. In this talk, we describe two complementary Mathematica epidemiological simulation models—one an agent-based model (ABM), the oth

From playlist Wolfram Technology Conference 2021

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Prob & Stats - Bayes Theorem (2 of 24) What is the Sensitivity of a Test?

Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is and give examples of the sensitivity of a test. The sensitivity of a test indicates the probability that the subject will have a POSITIVE result when the subject is actually POSITIVE.

From playlist PROB & STATS 4 BAYES THEOREM

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Epidemiological Models for Influenza and COVID-19

Dr. Robert Nachbar who is a project director in Wolfram Solutions, discusses spread of an infectious virus within a population using compartmental models. Bob got his doctorate of organic chemistry Brown University, and received the Wolfram Innovator Award in 2012. He joined Wolfram Soluti

From playlist Coronavirus Datasets and Analysis in the Wolfram Language

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04-3 Sensitivity Analysis Trees

Sensitivity analysis using classification and regression trees

From playlist QUSS GS 260

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Stanford Seminar - Computational Epidemiology: The Role of Big Data and Pervasive Informatics

"Computational Epidemiology: The role of big data and pervasive informatics" - Madhav Marathe of Virginia Tech Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated

From playlist Engineering

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Understanding the relationship between the epidemiology of, and immune ... by Rebecca Chisholm

DISCUSSION MEETING : MATHEMATICAL AND STATISTICAL EXPLORATIONS IN DISEASE MODELLING AND PUBLIC HEALTH ORGANIZERS : Nagasuma Chandra, Martin Lopez-Garcia, Carmen Molina-Paris and Saumyadipta Pyne DATE & TIME : 01 July 2019 to 11 July 2019 VENUE : Madhava Lecture Hall, ICTS, Bangalore

From playlist Mathematical and statistical explorations in disease modelling and public health

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Mathematical and Statistical modelling in the fight to control Tuberculosis by Emma McBryde

DISCUSSION MEETING : MATHEMATICAL AND STATISTICAL EXPLORATIONS IN DISEASE MODELLING AND PUBLIC HEALTH ORGANIZERS : Nagasuma Chandra, Martin Lopez-Garcia, Carmen Molina-Paris and Saumyadipta Pyne DATE & TIME : 01 July 2019 to 11 July 2019 VENUE : Madhava Lecture Hall, ICTS, Bangalore

From playlist Mathematical and statistical explorations in disease modelling and public health

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Why COVID-19 Models Are Often Wrong

To understand what epidemiological models can tell us, it helps to first understand what they can’t. In this explainer, we break down how epidemiological models are built and dispel some of the common misunderstandings about their applications. Read the full article at Quanta Magazine: ht

From playlist Explainers

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Yuseob Kim - Adaptive evolution in pathogen populations under complex demographic dynamics

PROGRAM: School and Discussion Meeting on Population Genetics and Evolution PROGRAM LINK: http://www.icts.res.in/program/PGE2014 DATES: Saturday 15 Feb, 2014 - Monday 24 Feb, 2014 VENUE: Physics Auditorium, IISc, Bangalore Just as evolution is central to our understanding of biology, p

From playlist School and Discussion Meeting on Population Genetics and Evolution

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14 Data Analytics: Indicator Methods

Lecture on the use of indicators for spatial estimation and simulation.

From playlist Data Analytics and Geostatistics

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Uncertainty | Sensitivity analysis