Literature DB >> 34630753

An Agent-Based Covid-19 Simulator: Extending Covasim to the Polish Context.

Rafał Latkowski1, Barbara Dunin-Kȩplicz2.   

Abstract

Governments all over the world make their best to fight with Covid-19 pandemic as effectively as possible. Therefore, we observed a growing need of trustworthy data-intensive systems supporting administration in validating their policy decisions. ProMES, the Covasim-based multiagent pandemic simulator, may serve as such a system, adjusted to the specificity of living, working and social conditions in Poland. The main role of ProMES is to evaluate and compare strategies for reducing Covid-19 transmissions. The strategies include time- and region-dependent combinations of nonpharmaceutical coronavirus-related individual and state interventions, tests and vaccinations. Ultimately, ProMES is meant to serve as a part of data/knowledge intensive decision support system, enhancing administrative reactivity as well as pro-activity in preventing the spread of the coronavirus. This paper reports a work in progress.
© 2021 The Author(s). Published by Elsevier B.V.

Entities:  

Keywords:  Covid-19; epidemiology software; multi-agent simulation; non-pharmaceutical interventions; synthetic populations

Year:  2021        PMID: 34630753      PMCID: PMC8486257          DOI: 10.1016/j.procs.2021.09.134

Source DB:  PubMed          Journal:  Procedia Comput Sci


  7 in total

1.  The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19.

Authors:  Lander Willem; Steven Abrams; Pieter J K Libin; Pietro Coletti; Elise Kuylen; Oana Petrof; Signe Møgelmose; James Wambua; Sereina A Herzog; Christel Faes; Philippe Beutels; Niel Hens
Journal:  Nat Commun       Date:  2021-03-09       Impact factor: 14.919

2.  Inferring the effectiveness of government interventions against COVID-19.

Authors:  Jan M Brauner; Sören Mindermann; Mrinank Sharma; Leonid Chindelevitch; Yarin Gal; Jan Kulveit; David Johnston; John Salvatier; Tomáš Gavenčiak; Anna B Stephenson; Gavin Leech; George Altman; Vladimir Mikulik; Alexander John Norman; Joshua Teperowski Monrad; Tamay Besiroglu; Hong Ge; Meghan A Hartwick; Yee Whye Teh
Journal:  Science       Date:  2020-12-15       Impact factor: 47.728

3.  Age-dependent effects in the transmission and control of COVID-19 epidemics.

Authors:  Petra Klepac; Yang Liu; Nicholas G Davies; Kiesha Prem; Mark Jit; Rosalind M Eggo
Journal:  Nat Med       Date:  2020-06-16       Impact factor: 53.440

4.  FRED (a Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations.

Authors:  John J Grefenstette; Shawn T Brown; Roni Rosenfeld; Jay DePasse; Nathan T B Stone; Phillip C Cooley; William D Wheaton; Alona Fyshe; David D Galloway; Anuroop Sriram; Hasan Guclu; Thomas Abraham; Donald S Burke
Journal:  BMC Public Health       Date:  2013-10-08       Impact factor: 3.295

5.  Analysing the Combined Health, Social and Economic Impacts of the Corovanvirus Pandemic Using Agent-Based Social Simulation.

Authors:  Frank Dignum; Virginia Dignum; Paul Davidsson; Amineh Ghorbani; Mijke van der Hurk; Maarten Jensen; Christian Kammler; Fabian Lorig; Luis Gustavo Ludescher; Alexander Melchior; René Mellema; Cezara Pastrav; Loïs Vanhee; Harko Verhagen
Journal:  Minds Mach (Dordr)       Date:  2020-06-15       Impact factor: 3.404

6.  Occurrence and transmission potential of asymptomatic and presymptomatic SARS-CoV-2 infections: A living systematic review and meta-analysis.

Authors:  Diana Buitrago-Garcia; Dianne Egli-Gany; Michel J Counotte; Stefanie Hossmann; Hira Imeri; Aziz Mert Ipekci; Georgia Salanti; Nicola Low
Journal:  PLoS Med       Date:  2020-09-22       Impact factor: 11.069

7.  Covasim: An agent-based model of COVID-19 dynamics and interventions.

Authors:  Cliff C Kerr; Robyn M Stuart; Dina Mistry; Romesh G Abeysuriya; Katherine Rosenfeld; Gregory R Hart; Rafael C Núñez; Jamie A Cohen; Prashanth Selvaraj; Brittany Hagedorn; Lauren George; Michał Jastrzębski; Amanda S Izzo; Greer Fowler; Anna Palmer; Dominic Delport; Nick Scott; Sherrie L Kelly; Caroline S Bennette; Bradley G Wagner; Stewart T Chang; Assaf P Oron; Edward A Wenger; Jasmina Panovska-Griffiths; Michael Famulare; Daniel J Klein
Journal:  PLoS Comput Biol       Date:  2021-07-26       Impact factor: 4.475

  7 in total
  2 in total

1.  Architectural Aspects of a Data-Intensive System: A Covid-19 Related Case Study.

Authors:  Piotr Dunin-Kȩplicz; Michał Iwański; Marek Niezgódka; Piotr Wiśniewski
Journal:  Procedia Comput Sci       Date:  2021-10-01

2.  Using simulation modelling and systems science to help contain COVID-19: A systematic review.

Authors:  Weiwei Zhang; Shiyong Liu; Nathaniel Osgood; Hongli Zhu; Ying Qian; Peng Jia
Journal:  Syst Res Behav Sci       Date:  2022-08-19
  2 in total

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