• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

compartmental 模型的数值方案：用于数值模拟的新 Matlab 软件代码。

Numerical Scheme for Compartmental Models: New Matlab Software Codes for Numerical Simulation.

机构信息

Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Department of Mathematics and Applied Mathematics, University of Johannesburg, Johannesburg 2006, South Africa.

出版信息

F1000Res. 2023 Sep 25;12:445. doi: 10.12688/f1000research.130458.2. eCollection 2023.

DOI:10.12688/f1000research.130458.2
PMID:37854874
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10579850/
Abstract

This paper presents a newly developed Matlab code for the numerical simulation of compartmental/deterministic models. It addresses modeling and simulation issues concerning compartmental models. The code is easy to understand and edit for the simulation of compartmental models. An alternative codes for statistical software package R has been proposed for the same model. R software is freely available for use. We proposed a basic SEIR model for illustration purposes. Matlab and R software codes are developed for the SEIR model which users can follow and easily understand the computations. The two codes work on all Matlab and R versions. For models with more compartments, we suggest using higher version of Matlab and R. Matlab works on windows, Mac and Linux New Matlab software codes purposely for numerical simulations of classical deterministic models which can run on any version of Matlab has been introduced in this paper. This code can be edited/modify to suit any deterministic models and any desired output required. An alternative open source free version has been written in R has been provided as well.

摘要

本文提出了一个新开发的 Matlab 代码，用于房室/确定性模型的数值模拟。它解决了与房室模型有关的建模和模拟问题。该代码易于理解和编辑，可用于房室模型的模拟。对于相同的模型，还提出了一个用于统计软件包 R 的替代代码。R 软件可免费使用。我们提出了一个基本的 SEIR 模型来说明问题。为 SEIR 模型开发了 Matlab 和 R 软件代码，用户可以遵循并轻松理解计算过程。这两个代码适用于所有的 Matlab 和 R 版本。对于具有更多隔室的模型，我们建议使用更高版本的 Matlab 和 R。Matlab 适用于 Windows、Mac 和 Linux。本文介绍了一种专门用于经典确定性模型数值模拟的新的 Matlab 软件代码，它可以在任何版本的 Matlab 上运行。该代码可以编辑/修改以适应任何确定性模型和所需的任何输出。还提供了一个在 R 中编写的替代开源免费版本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/57a5ddd33daa/f1000research-12-155959-g0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/97f51c71cfea/f1000research-12-155959-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/3616429dddb3/f1000research-12-155959-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/9ae6bdcec49f/f1000research-12-155959-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/442b1bd13887/f1000research-12-155959-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/51661d4376c9/f1000research-12-155959-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/25b795095cc5/f1000research-12-155959-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/b9171c5da85d/f1000research-12-155959-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/dd478e899fd8/f1000research-12-155959-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/ab82cb40b037/f1000research-12-155959-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/8acf7780c1e1/f1000research-12-155959-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/db4341446796/f1000research-12-155959-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/57a5ddd33daa/f1000research-12-155959-g0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/97f51c71cfea/f1000research-12-155959-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/3616429dddb3/f1000research-12-155959-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/9ae6bdcec49f/f1000research-12-155959-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/442b1bd13887/f1000research-12-155959-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/51661d4376c9/f1000research-12-155959-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/25b795095cc5/f1000research-12-155959-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/b9171c5da85d/f1000research-12-155959-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/dd478e899fd8/f1000research-12-155959-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/ab82cb40b037/f1000research-12-155959-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/8acf7780c1e1/f1000research-12-155959-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/db4341446796/f1000research-12-155959-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/10580026/57a5ddd33daa/f1000research-12-155959-g0011.jpg

相似文献

1
Numerical Scheme for Compartmental Models: New Matlab Software Codes for Numerical Simulation. compartmental 模型的数值方案：用于数值模拟的新 Matlab 软件代码。
F1000Res. 2023 Sep 25;12:445. doi: 10.12688/f1000research.130458.2. eCollection 2023.
2
Multiscale Hy3S: hybrid stochastic simulation for supercomputers.多尺度Hy3S：面向超级计算机的混合随机模拟
BMC Bioinformatics. 2006 Feb 24;7:93. doi: 10.1186/1471-2105-7-93.
3
CRA toolbox: software package for conditional robustness analysis of cancer systems biology models in MATLAB.CRA 工具包：用于在 MATLAB 中对癌症系统生物学模型进行条件稳健性分析的软件包。
BMC Bioinformatics. 2019 Jul 9;20(1):385. doi: 10.1186/s12859-019-2933-z.
4
Deterministic modelling and stochastic simulation of biochemical pathways using MATLAB.使用MATLAB对生化途径进行确定性建模和随机模拟。
Syst Biol (Stevenage). 2006 Mar;153(2):53-60. doi: 10.1049/ip-syb:20050064.
5
COPASI--a COmplex PAthway SImulator.COPASI——一种复杂途径模拟器。
Bioinformatics. 2006 Dec 15;22(24):3067-74. doi: 10.1093/bioinformatics/btl485. Epub 2006 Oct 10.
6
libRoadRunner: a high performance SBML simulation and analysis library.libRoadRunner：一个高性能的SBML模拟与分析库。
Bioinformatics. 2015 Oct 15;31(20):3315-21. doi: 10.1093/bioinformatics/btv363. Epub 2015 Jun 17.
7
Simple finite element methods for approximating predator-prey dynamics in two dimensions using MATLAB.使用MATLAB在二维空间中逼近捕食者 - 猎物动态的简单有限元方法。
Bull Math Biol. 2015 Mar;77(3):548-78. doi: 10.1007/s11538-015-0062-z. Epub 2015 Jan 24.
8
Compartmental models: theory and practice using the SAAM II software system.房室模型：使用SAAM II软件系统的理论与实践
Adv Exp Med Biol. 1998;445:79-101. doi: 10.1007/978-1-4899-1959-5_5.
9
A platform for dynamic simulation and control of movement based on OpenSim and MATLAB.基于 OpenSim 和 MATLAB 的运动动态模拟和控制平台。
J Biomech. 2012 May 11;45(8):1517-21. doi: 10.1016/j.jbiomech.2012.03.016. Epub 2012 Mar 30.
10
The GNAT: A new tool for processing NMR data.GNAT：一种处理核磁共振数据的新工具。
Magn Reson Chem. 2018 Jun;56(6):546-558. doi: 10.1002/mrc.4717. Epub 2018 Mar 25.

本文引用的文献

1
Modeling and analysis of monkeypox disease using fractional derivatives.使用分数阶导数对猴痘疾病进行建模与分析。
Results Eng. 2023 Mar;17:100786. doi: 10.1016/j.rineng.2022.100786. Epub 2022 Nov 29.
2
The story behind the first few cases of monkeypox infection in non-endemic countries, 2022.2022 年，非流行国家出现首例猴痘感染病例的背景情况。
J Infect Public Health. 2022 Sep;15(9):970-974. doi: 10.1016/j.jiph.2022.07.014. Epub 2022 Aug 5.
3
Global Analysis and Optimal Control Model of COVID-19.COVID-19 的全球分析与最优控制模型。
Comput Math Methods Med. 2022 Jan 27;2022:9491847. doi: 10.1155/2022/9491847. eCollection 2022.
4
A mathematical model of Coronavirus Disease (COVID-19) containing asymptomatic and symptomatic classes.一种包含无症状和有症状类别的冠状病毒病（COVID-19）数学模型。
Results Phys. 2021 Feb;21:103776. doi: 10.1016/j.rinp.2020.103776. Epub 2021 Jan 6.
5
Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study.2020 年，由于潜在健康状况，全球、区域和国家估计有多少人面临 COVID-19 重症风险增加：一项建模研究。
Lancet Glob Health. 2020 Aug;8(8):e1003-e1017. doi: 10.1016/S2214-109X(20)30264-3. Epub 2020 Jun 15.
6
Prediction of COVID-19 transmission dynamics using a mathematical model considering behavior changes in Korea.利用考虑韩国行为变化的数学模型预测 COVID-19 传播动态。
Epidemiol Health. 2020;42:e2020026. doi: 10.4178/epih.e2020026. Epub 2020 Apr 13.