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A Multi-Level Multi-Agent Simulation Framework in Animal Epidemiology [chapter]

Sébastien Picault, Yu-Lin Huang, Vianney Sicard, François Beaudeau, Pauline Ezanno
2017 Lecture Notes in Computer Science  
We propose in this paper to use the multi-level agent-based paradigm to integrate existing methods within a common interface, provide a separation between concerns and reduce the part of code devoted to  ...  In order to recommend better control measures in public or animal health, epidemiologists incorporate ever-finer details in their models, from individual diversity to public policies, which often involve  ...  The research work presented here is also funded by the Animal Health Division of the French National Institute for Agricultural Research (INRA).  ... 
doi:10.1007/978-3-319-59930-4_17 fatcat:5aiv5ekrpjaiznagqhku2brolu

Enhancing Sustainability of Complex Epidemiological Models through a Generic Multilevel Agent-based Approach

Sébastien Picault, Yu-Lin Huang, Vianney Sicard, Pauline Ezanno
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
Especially, multilevel multi-agent systems, deeply rooted in that culture, provide a generic way to integrate several epidemiological modeling paradigms within a homogeneous interface.  ...  We explain in this paper how this approach is used for building more generic, reliable and sustainable simulations, illustrated by real-case applications in cattle epidemiology.  ...  The research work presented here is also funded by the Animal Health Division of the French National Institute for Agricultural Research (INRA).  ... 
doi:10.24963/ijcai.2017/53 dblp:conf/ijcai/PicaultHSE17 fatcat:gl46756v7nhrjhndjtwqi6w7ue

A generic multi-level stochastic modelling framework in computational epidemiology [article]

Sébastien Picault, Yu-Lin Huang, Vianney Sicard, Thierry Hoch, Elisabeta Vergu, François Beaudeau, Pauline Ezanno
2018 bioRxiv   pre-print
a homogeneous architecture based on adaptive software agents.  ...  The framework EMULSION presented here intends to both tackle multiple modelling paradigms in epidemiology and facilitate the automation of model design.  ...  characterization of design patterns in 471 multi-level agent-based simulation initiated in [55]. 472 We consider our contribution a first step towards a standardized DSL for epidemiology.  ... 
doi:10.1101/491605 fatcat:dmfi3nqrjbglziitgdalhjgr4a

EMULSION: Transparent and flexible multiscale stochastic models in human, animal and plant epidemiology

Sébastien Picault, Yu-Lin Huang, Vianney Sicard, Sandie Arnoux, Gaël Beaunée, Pauline Ezanno, Mihaela Pertea
2019 PLoS Computational Biology  
The modelling language and simulation architecture both rely on the combination of advanced artificial intelligence methods (knowledge representation and multi-level agent-based simulation), allowing several  ...  However, developing realistic models which involve multi-disciplinary knowledge integration faces three major challenges in predictive epidemiology: lack of readability once translated into simulation  ...  A multi-level agent-based simulation architecture to encompass paradigms and scales Multi-agent systems are composed of autonomous entities (agents) endowed with a behaviour and interacting in a shared  ... 
doi:10.1371/journal.pcbi.1007342 pmid:31518349 pmcid:PMC6760811 fatcat:aotghozenvgv3e5mmhhbhekms4

Analyzing Global Epidemiology of Diseases Using Human-in-the-Loop Bio-Simulations [chapter]

Dhananjai M. Rao, Alexander Chernyakhovsky, Victoria Rao
2011 Human-in-the-Loop Simulations  
The bio-simulation infrastructure of SEARUMS permits a human-in-the-loop to steer the simulation to scenarios of interest so that epidemics can be effectively modeled and analyzed.  ...  In addition, the article also presents the bio-simulations and multi-faceted case studies conducted using SEARUMS to elucidate its ability to forecast timelines, epicenters, and socio-economic impacts  ...  SEARUMS permits multiple top-level groups with an arbitrary number of hierarchies, with one or more sub-groups at each hierarchical level. An agent can be a member of multiple groups.  ... 
doi:10.1007/978-0-85729-883-6_8 fatcat:yc7bw2wrpffptkcndofxwt2qdm

EMULSION: transparent and flexible multiscale stochastic models in epidemiology [article]

Sebastien Picault, Yu-Lin Huang, Vianney Sicard, Sandie Arnoux, Gaël Beaunée, Pauline Ezanno
2019 bioRxiv   pre-print
The modelling language and simulation architecture both rely on the combination of advanced artificial intelligence methods (knowledge representation and multi-level agent-based simulation), allowing several  ...  EMULSION defines a domain-specific language to make all components of an epidemiological model (structure, processes, parameters...) explicit as a structured text file.  ...  The second one is the use of a generic simulation engine, whose core architecture relies upon a multi-level agent-based system [16] .  ... 
doi:10.1101/563791 fatcat:oz6kinczpzdehhk3ab6zaylrf4

A review of economic tools for the assessment of animal disease outbreaks

K M Rich, G Y Miller, A Winter-Nelson
2005 Rev Sci Tech Off Int Epizoot  
These expectations can be addressed by better integration of epidemiological modelling with economic techniques whose application to animal health has not been thoroughly discussed in past reviews.  ...  This paper describes a range of economic models that can be applied in animal health research and provides guidance for determining the appropriate method given the issues at hand.  ...  In the I-O framework, changes in output are calculated through simulations that alter the level of final demand.  ... 
pmid:16642754 fatcat:clahru3pkre27jvtqhzkgrm3gi

Research perspectives on animal health in the era of artificial intelligence

Pauline Ezanno, Sébastien Picault, Gaël Beaunée, Xavier Bailly, Facundo Muñoz, Raphaël Duboz, Hervé Monod, Jean-François Guégan
2021 Veterinary Research  
Leveraging artificial intelligence (AI) approaches in animal health (AH) makes it possible to address highly complex issues such as those encountered in quantitative and predictive epidemiology, animal  ...  With the development of several recent concepts promoting a global and multisectoral perspective in the field of health, AI should contribute to defract the different disciplines in AH towards more transversal  ...  Acknowledgements This work has benefited from interactions with many French researchers (Additional file 1B) interested in the AI/AH interface, for which we thank them here.  ... 
doi:10.1186/s13567-021-00902-4 pmid:33676570 fatcat:i2sfy6sr3nbktagh2zpxh5hksy

A framework to promote collective action within the One Health community of practice: Using participatory modelling to enable interdisciplinary, cross-sectoral and multi-level integration

Aurelie Binot, Raphaël Duboz, Panomsak Promburom, Waraphon Phimpraphai, Julien Cappelle, Claire Lajaunie, Flavie Luce Goutard, Tanu Pinyopummintr, Muriel Figuié, François Louis Roger
2015 One Health  
On this basis, we propose a conceptual framework of OH integration.  ...  The implementation of a One Health (OH) approach in this context calls for improved integration among disciplines and improved cross-sectoral collaboration, involving stakeholders at different levels.  ...  and multi-level integration.  ... 
doi:10.1016/j.onehlt.2015.09.001 pmid:28616464 pmcid:PMC5462629 fatcat:bzhcrw3x7vhexpafyosiw6in7u

Quantitatively evaluating the cross-sectoral and one health impact of interventions: A scoping review and case study of antimicrobial resistance

Nichola R. Naylor, Jo Lines, Jeff Waage, Barbara Wieland, Gwenan M. Knight
2020 One Health  
The stated multi-level approach also allows for sub-systems to be modelled in succession, where resources are constrained.  ...  The outcomes of this multi-level model (including cost-utility and Gross Domestic Product impact) can then feed into multi-criteria-decision analyses that weigh respective impact estimates alongside other  ...  Laura Cornelsen for her input in conveying the messages of this research in initial results discussion.  ... 
doi:10.1016/j.onehlt.2020.100194 pmid:33304982 pmcid:PMC7718152 fatcat:6mi74m2szbckxkpohdzikj7kf4

An Agent-Based Model for Studying the Impact of Herd Mobility on the Spread of Vector-Borne Diseases: The Case of Rift Valley Fever (Ferlo Senegal)

Python Ndekou T. Paul, Alassane Bah, Papa Ibrahima Ndiaye, Jacques André Ndione
2014 Open Journal of Modelling and Simulation  
In this paper, a multi-agent system combining conceptual model expressiveness is used to study animal herds' mobility and the precipitation parameter impact on the Rift Valley Fever outbreak in Ferlo Barkedji  ...  Our model provides a framework that permits predicting the spread of the disease associated with the mobility of animal herds.  ...  As a matter of fact, the multi-agent simulation, the unifying paradigm of our viewpoint, provides a modeling and simulation (innovative) vision in the epidemiology, as it uses not only the direct representation  ... 
doi:10.4236/ojmsi.2014.23012 fatcat:6yi2r4c46fb3hmxhnsbs7kb32a

A Review of Platforms for the Development of Agent Systems [article]

Constantin-Valentin Pal, Florin Leon, Marcin Paprzycki, Maria Ganzha
2020 arXiv   pre-print
It aims to serve as a reference point for people interested in developing agent systems.  ...  This paper presents a up-to-date review of the existing agent platforms and also a historical perspective of this domain.  ...  JADE (Java Agent DEvelopment Framework) is a software framework implemented in Java.  ... 
arXiv:2007.08961v1 fatcat:3ddtajdqv5fftldoqobr2y6y4u

Community interactions determine role of species in parasite spread amplification: the ecomultiplex network model [article]

Massimo Stella, Sanja Selakovic, Alberto Antonioni, Cecilia S. Andreazzi
2017 arXiv   pre-print
As a unifying framework for modelling parasite spread through different paths of infection, we suggest "ecomultiplex" networks, i.e. multiplex networks representing interacting animal communities with  ...  Firstly, the ecomultiplex topology can be as efficient as more data-demanding epidemiological measures in identifying which species facilitate parasite spread.  ...  Infection times are averages sampled from 500 simulated replicates. Differences are always tested at 95% confidence level.  ... 
arXiv:1706.05121v1 fatcat:zk2vjwfxj5e6zb2p3oxprnhowa

Towards a Framework for High-Performance Simulation of Livestock Disease Outbreak: A Case Study of Spread of African Swine Fever in Vietnam

Linh Manh Pham, Nikos Parlavantzas, Huy-Ham Le, Quang Hung Bui
2021 Animals  
The spread of disease in livestock is an important research topic of veterinary epidemiology because it provides warnings or advice to organizations responsible for the protection of animal health in particular  ...  In this article, we propose a novel architectural framework for simultaneously deploying any epidemic simulation program both on premises and on the cloud to improve performance and scalability.  ...  We also thankfully acknowledge the support of the French Embassy in Vietnam (Scientific cooperation project 2020 on "Managing epidemic simulation applications in cloud environments").  ... 
doi:10.3390/ani11092743 pmid:34573709 pmcid:PMC8469528 fatcat:zw2y5vr4lrhdbb6qrjhqq47rte

Sensor-Driven, Spatially Explicit Agent-Based Models [chapter]

Francis Oloo
2019 Swarm Intelligence - Recent Advances, New Perspectives and Applications  
In addition, this work proposes a conceptual framework for dynamic validation of sensor-driven spatial ABMs to address the risk of model overfitting.  ...  The combination of data from in situ sensors to geospatial outputs provides a rich resource for characterising geospatial environments and entities on earth.  ...  In multi-agent systems with reactive agents, system-level robustness and complexity emerges from local-level interactions of the constituent agents.  ... 
doi:10.5772/intechopen.89830 fatcat:g3wfdovw4jf2jlrkcehbvb236q
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