Evaluating Parallelization Strategies for Large-Scale Individual-based Infectious Disease Simulations-Reference-Cited by-同舟云学术

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Evaluating Parallelization Strategies for Large-Scale Individual-based Infectious Disease Simulations

Published:2023-12-10 Issue: Volume:10 Page:1088-1099
ISSN:
Container-title:2023 Winter Simulation Conference (WSC)
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Author:

Ponge Johannes¹,Horstkemper Dennis¹,Hellingrath Bernd¹,Bayer Lukas²,Bock Wolfgang²,Karch André³

Affiliation:

1. University of Münster,Department of Information Systems,Münster, NRW,Germany,48149

2. RPTU Kaiserslautern-Landau,Department of Mathematics,Kaiserslautern, RP,Germany,67663

3. University of Münster,Institute of Epidemiology & Social Medicine,Münster, NRW,Germany,48149

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406299/10407113/10407633.pdf?arnumber=10407633

Reference20 articles.

1. Mitigation and Herd Immunity Strategy for COVID-19 is Likely to Fail;Adamik;MedRxiv,2020

2. The Multi-Agent Transport Simulation MATSim

3. Agent-Based Simulation for Evaluation of Contact-Tracing Policies against the Spread of Sars-Cov-2;Bicher;MedRxiv,2020

4. The SEIRS model for infectious disease dynamics

5. Outdoor Transmission of SARS-CoV-2 and Other Respiratory Viruses: A Systematic Review

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