1. //
  2. Start
  3. //
  4. Publications
  5. Estimation of Parameters in the SIR Mode...
  6. Output formats
  7. //

Estimation of Parameters in the SIR Model Using a Particle Swarm Optimization Algorithm

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Standard

Estimation of Parameters in the SIR Model Using a Particle Swarm Optimization Algorithm. / Marquardt, Niklas; Hendriok, Leo; Haus, Benedikt et al.
Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023. ed. / Swagatam Das; Snehanshu Saha; Carlos A. Coello Coello; Hemant Rathore; Jagdish Chand Bansal. Springer Science and Business Media Deutschland, 2024. p. 157-167 (Lecture Notes in Networks and Systems; Vol. 890).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Harvard

Marquardt, N, Hendriok, L, Haus, B & Mercorelli, P 2024, Estimation of Parameters in the SIR Model Using a Particle Swarm Optimization Algorithm. in S Das, S Saha, CAC Coello, H Rathore & JC Bansal (eds), Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023. Lecture Notes in Networks and Systems, vol. 890, Springer Science and Business Media Deutschland, pp. 157-167, 2nd International Conference on Advances in Data-driven Computing and Intelligent Systems - ADCIS 2023, BITS Pilani, India, 21.09.23. https://doi.org/10.1007/978-981-99-9531-8_13

APA

Marquardt, N., Hendriok, L., Haus, B., & Mercorelli, P. (2024). Estimation of Parameters in the SIR Model Using a Particle Swarm Optimization Algorithm. In S. Das, S. Saha, C. A. C. Coello, H. Rathore, & J. C. Bansal (Eds.), Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023 (pp. 157-167). (Lecture Notes in Networks and Systems; Vol. 890). Springer Science and Business Media Deutschland. https://doi.org/10.1007/978-981-99-9531-8_13

Vancouver

Marquardt N, Hendriok L, Haus B, Mercorelli P. Estimation of Parameters in the SIR Model Using a Particle Swarm Optimization Algorithm. In Das S, Saha S, Coello CAC, Rathore H, Bansal JC, editors, Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023. Springer Science and Business Media Deutschland. 2024. p. 157-167. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-99-9531-8_13

Bibtex

@inbook{485e40066e36443285be65ecc75ec255,
title = "Estimation of Parameters in the SIR Model Using a Particle Swarm Optimization Algorithm",
abstract = "The paper deals with the estimation of parameters in the Susceptible-Infected-Removed (SIR) model of infectious disease transmission in populations using an algorithm based on a Particle Swarm Optimization (PSO) method. The used model in this contribution is based on the dynamics of predator and prey populations. A possible model is represented by the Lotka-Volterra model which is used in such kinds of competitive ecosystems. SIR models can be considered as a particular form of Lotka-Volterra models, in which susceptible and infected people represent the prey and predator. The main contribution of this investigation consists of showing how the model can reflect the real data using a low number of compartments in case the model parameters are estimated adaptively using an optimal procedure. A PSO method is used in a receding horizon window-like structure to estimate these parameters. The procedure is validated using real values of the COVID-19 pandemic in Germany, demonstrating a close matching.",
keywords = "Lotka-Volterra model, Parameter identification, Particle Swarm Optimization, Engineering",
author = "Niklas Marquardt and Leo Hendriok and Benedikt Haus and Paolo Mercorelli",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 2nd International Conference on Advances in Data-driven Computing and Intelligent Systems - ADCIS 2023, ADCIS 2023 ; Conference date: 21-09-2023 Through 23-09-2023",
year = "2024",
doi = "10.1007/978-981-99-9531-8_13",
language = "English",
isbn = "978-981-99-9530-1",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland",
pages = "157--167",
editor = "Swagatam Das and Snehanshu Saha and Coello, {Carlos A. Coello} and Hemant Rathore and Bansal, {Jagdish Chand}",
booktitle = "Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023",
address = "Germany",
url = "https://scrs.in/conference/adcis23",

}

RIS

TY - CHAP

T1 - Estimation of Parameters in the SIR Model Using a Particle Swarm Optimization Algorithm

AU - Marquardt, Niklas

AU - Hendriok, Leo

AU - Haus, Benedikt

AU - Mercorelli, Paolo

N1 - Conference code: 2

PY - 2024

Y1 - 2024

N2 - The paper deals with the estimation of parameters in the Susceptible-Infected-Removed (SIR) model of infectious disease transmission in populations using an algorithm based on a Particle Swarm Optimization (PSO) method. The used model in this contribution is based on the dynamics of predator and prey populations. A possible model is represented by the Lotka-Volterra model which is used in such kinds of competitive ecosystems. SIR models can be considered as a particular form of Lotka-Volterra models, in which susceptible and infected people represent the prey and predator. The main contribution of this investigation consists of showing how the model can reflect the real data using a low number of compartments in case the model parameters are estimated adaptively using an optimal procedure. A PSO method is used in a receding horizon window-like structure to estimate these parameters. The procedure is validated using real values of the COVID-19 pandemic in Germany, demonstrating a close matching.

AB - The paper deals with the estimation of parameters in the Susceptible-Infected-Removed (SIR) model of infectious disease transmission in populations using an algorithm based on a Particle Swarm Optimization (PSO) method. The used model in this contribution is based on the dynamics of predator and prey populations. A possible model is represented by the Lotka-Volterra model which is used in such kinds of competitive ecosystems. SIR models can be considered as a particular form of Lotka-Volterra models, in which susceptible and infected people represent the prey and predator. The main contribution of this investigation consists of showing how the model can reflect the real data using a low number of compartments in case the model parameters are estimated adaptively using an optimal procedure. A PSO method is used in a receding horizon window-like structure to estimate these parameters. The procedure is validated using real values of the COVID-19 pandemic in Germany, demonstrating a close matching.

KW - Lotka-Volterra model

KW - Parameter identification

KW - Particle Swarm Optimization

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85192136759&partnerID=8YFLogxK

U2 - 10.1007/978-981-99-9531-8_13

DO - 10.1007/978-981-99-9531-8_13

M3 - Article in conference proceedings

AN - SCOPUS:85192136759

SN - 978-981-99-9530-1

T3 - Lecture Notes in Networks and Systems

SP - 157

EP - 167

BT - Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023

A2 - Das, Swagatam

A2 - Saha, Snehanshu

A2 - Coello, Carlos A. Coello

A2 - Rathore, Hemant

A2 - Bansal, Jagdish Chand

PB - Springer Science and Business Media Deutschland

T2 - 2nd International Conference on Advances in Data-driven Computing and Intelligent Systems - ADCIS 2023

Y2 - 21 September 2023 through 23 September 2023

ER -

Other publications by the same author(s)

Advancing Sustainability and Productivity: The Role of Precision Agriculture in Vineyards and Olive Groves

Fernandes, F. M., Dos Santos, M. F., De Morais, M. H. F., Lima, J., Pereira, A. I. & Mercorelli, P., 2025, Proceedings of the 2025 26th International Carpathian Control Conference (ICCC): Grandhotel Starý Smokovec, High Tatras, Starý Smokovec, Slovak Republic, 19-21 May 2025. Kacur, J., Skovranek, T., Laciak, M. & Mojzisova, A. (eds.). Piscataway: Institute of Electrical and Electronics Engineers Inc., 6 p. (International Carpathian Control Conference, ICCC; vol. 26).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

A Fluid Elastomeric Actuator Design for Soft Robots

Els, D., van Niekerk, T., Mercorelli, P. & Welgemoed, J., 09.2025, In: Actuators. 14, 9, 14 p., 417.

Research output: Journal contributions › Journal articles › Research › peer-review

An innovative efficiency of incubator to enhance organization supportive business using machine learning approach

Li, X., Zhang, Q., Gu, H., Othmen, S., Asklany, S., Lhioui, C., Elrashidi, A. & Mercorelli, P., 07.2025, In: PLoS ONE. 20, 7, 22 p., e0327249.

Research output: Journal contributions › Journal articles › Research › peer-review

An Over-Actuated Hexacopter Tilt-Rotor UAV Prototype for Agriculture of Precision: Modeling and Control

Pimentel, G. O., Santos, M. F. D., Lima, J., Mercorelli, P. & Fernandes, F. M., 15.01.2025, In: Sensors. 25, 2, 27 p., 479.

Research output: Journal contributions › Journal articles › Research › peer-review

Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration

Rigon, S., Haus, B., Mercorelli, P. & Zigliotto, M., 27.02.2025, In: IEEE Open Journal of Power Electronics. 6, p. 734-746 13 p.

Research output: Journal contributions › Journal articles › Research › peer-review

DOI

Recently viewed

Activities

  1. Trajectory-based computational analysis of coherent structures in flows
  2. Process Analyses of Grounding in Chat-based CSCL: An Approach for Adaptive Scripting?
  3. Principal Ambidexterity: Exploring and Exploiting in dynamic Contexts
  4. Detection of tactical patterns using semi-supervised graph neural networks
  5. A decoupled MPC using a geometric approach and feedforward action for motion control in robotino
  6. Set-oriented computation in dynamics
  7. Contributions of declarative and procedural memory to second language accuracy and automatization
  8. Predicting dropout in Internet Interventions - A framework to analyse user journey data
  9. Can the ability to identify criteria explain why some selection procedures work? Results and unresolved issues
  10. Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
  11. A New Approach for Optimal Solving of Cyclic and Non-Cyclic Bus Driver Rostering Problems
  12. Perturbation Analysis to Design a Robust Decoupling Geometric Technique in Linear Multi-Input Multi-Output Systems
  13. Event History Analysis and Applications Using STATA - 2013

Publications

  1. Estimation of Parameters in the SIR Model Using a Particle Swarm Optimization Algorithm
  2. Median based algorithm as an entropy function for noise detectionin wavelet trees for data reconciliation
  3. Avoiding Algorithm Error in Computer-Aided Text Analyses
  4. A scalable approach for computing semantic relatedness using semantic web data
  5. Using Technologies for Foreign Language Learning in Inclusive Settings
  6. A wavelet-based algorithm without a priori knowledge of noise level for gross errors detection
  7. An incomplete and simplifying introduction to linked data
  8. Modeling the Clickstream Across Multiple Online Advertising Channels Using a Binary Logit With Bayesian Mixture of Normals
  9. Improving mechanical properties of constrained friction processing Mg-Zn-Ca alloys by modifying texture using multiple pass processing
  10. Setting controller parameters through a minimum strategy with a weighted least squares method
  11. A Wavelet Based Algorithm without a Priori Knowledge of Noise Level for Gross Errors Detection
  12. Inner loop model predictive control and outer loop PI reference governor for PMSMs with input and state saturation for torque control
  13. Automatic Error Detection in Gaussian Processes Regression Modeling for Production Scheduling
  14. Advanced Neural Classifier-Based Effective Human Assistance Robots Using Comparable Interactive Input Assessment Technique
  15. Modeling and Performance Analysis of a Node in Fault Tolerant Wireless Sensor Networks
  16. Design of a Real Time Path of Motion Using a Sliding Mode Control with a Switching Surface
  17. Throttle valve control using an inverse local linear model tree based on a Fuzzy neural network
  18. Learning with animations and simulations in a computer-based learning environment about torques
  19. Modeling and simulation of inelastic microstructure development and inhomogeneous material behavior via non-convex rate dependent gradient plasticity
  20. Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
  21. Development of a Didactic Graphical Simulation Interface on MATLAB for Systems Control
  22. On using the adjacency matrix power method for perception of symmetry and for isomorphism testing of highly intricate graphs.
  23. Using haar wavelets for fault detection in technical processes
  24. Using Natural Language Processing Techniques to Tackle the Construct Identity Problem in Information Systems Research
  25. Flexible scripting in net-based learning groups
  26. Insights from classifying visual concepts with multiple kernel learning
  27. Proceedings of the SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021)
  28. Modelling and implementing business processes in distributed systems
  29. How to get really smart: Modeling retest and training effects in ability testing using computer-generated figural matrix items
  30. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  31. Inverting the Large Lecture Class: Active Learning in an Introductory International Relations Course