Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Multiple Comparison Tests01:13

Multiple Comparison Tests

3.4K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.4K
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

727
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
727
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

490
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
490
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions01:15

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

97
PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure...
97
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

1.6K
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.6K
Methods of Medium Optimization01:28

Methods of Medium Optimization

70
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
70

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Exploring Opioid Prescription Patterns and Overdose Rates in South Carolina (2017-2021): Insights into Rising Deaths in High-Risk Areas.

Healthcare (Basel, Switzerland)·2024
Same author

The Impact of Opioid Prescribing Limits on Drug Usage in South Carolina: A Novel Geospatial and Time Series Data Analysis.

Healthcare (Basel, Switzerland)·2023
Same author

Evaluating State-Level Prescription Drug Monitoring Program (PDMP) and Pill Mill Effects on Opioid Consumption in Pharmaceutical Supply Chain.

Healthcare (Basel, Switzerland)·2023
Same author

A Commons for a Supply Chain in the Post-COVID-19 Era: The Case for a Reformed Strategic National Stockpile.

The Milbank quarterly·2020
Same author

Loss rate forecasting framework based on macroeconomic changes: Application to US credit card industry.

Expert systems with applications·2020

相关实验视频

Updated: May 3, 2026

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
08:48

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

Published on: February 16, 2022

2.8K

优化检测协议以选COVID-19:一个多目标模型.

Hadi Moheb-Alizadeh1,2, Donald P Warsing3, Richard E Kouri4

  • 1Graduate Program in Operations Research, North Carolina State University, Raleigh, NC, 27695, USA.

Health care management science
|October 11, 2024
PubMed
概括

这项研究引入了一种多目标模拟化 (MOSA) 算法,以优化传染病检测协议,平衡成本,感染传播和错误阴性,用于学校的COVID-19控制.

关键词:
在 COVID-19 疫情中,多重目标编程多重目标编程或在医疗保健服务中.这就是SEIR模型.模拟的回火模拟

更多相关视频

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
08:26

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Published on: June 23, 2022

1.7K
Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.1K

相关实验视频

Last Updated: May 3, 2026

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
08:48

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

Published on: February 16, 2022

2.8K
Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
08:26

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Published on: June 23, 2022

1.7K
Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.1K

科学领域:

  • 流行病学和公共卫生.
  • 计算建模 计算建模
  • 运营研究 运营研究

背景情况:

  • 随着COVID-19的爆发,人们更需要有效的传染病查策略.
  • 优化测试协议涉及平衡多个相互竞争的目标,如成本和疾病传播.
  • 现有的方法可能无法充分解决现实世界查场景在集体环境中的复杂性.

研究的目的:

  • 为优化传染病检测协议开发和介绍一种新的多目标模拟化 (MOSA) 算法.
  • 将这个算法应用于K-12学区内COVID-19查的背景.
  • 提供一个可扩展和可适应的工具,用于在各种集体环境中设计有效的测试策略.

主要方法:

  • 开发一个多目标模拟回火 (MOSA) 算法.
  • 作为计算引擎,整合了一种易感暴露感染康复 (SEIR) 流行病学模型.
  • 优化重点是尽量减少测试材料成本,总感染和虚假阴性在定义的测试时间范围内.

主要成果:

  • MOSA算法成功生成了针对传染病的最佳测试协议.
  • 在推北卡罗来纳州K-12学区的查策略中证明了应用.
  • 该方法具有可扩展性,可以适应学校,企业和养老院等多样化的群众环境.

结论:

  • 开发的MOSA算法为优化传染病检测协议提供了一个强大的框架.
  • 调查结果为有关COVID-19和未来流行病控制的政策决策提供了宝贵的见解.
  • 该工具可以在多个测试站点生成特定位置或共同的协议.