LIPIcs.GIScience.2023.48.pdf
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Agent-Based Modelling and Disease: Demonstrating the Role of Human Remains in Epidemic Outbreaks (Short Paper)
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12th International Conference on Geographic Information Science (GIScience 2023)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: International Conference on Geographic Information Science (GIScience) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2023-09-07
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Huixin Liu and Sarah Wise. Agent-Based Modelling and Disease: Demonstrating the Role of Human Remains in Epidemic Outbreaks (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 48:1-48:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.GIScience.2023.48
Abstract
Hemorrhagic fever viruses present a high risk to humans, given their associated high fatality rates, extensive care requirements, and few relevant vaccines. One of the most famous such viruses is the Ebola virus, which first came to international attention during an outbreak in 1976. Another is Marburg virus, cases of which are being reported in Equatorial Guinea at the time of writing. Researchers and governments all over the world share a goal in seeking effective ways to reduce or prevent the influence or spreading of such diseases. This study introduces a prototype agent-based model to explore the epidemic infectious progression of a simulated fever virus. More specifically, this work seeks to recreate the role of human remains in the progression of such an epidemic, and to help gauge the influence of different environmental conditions on this dynamic.
Subject Classification
ACM Subject Classification
- Computing methodologies → Modeling methodologies
Keywords
- Disease modelling
- agent-based model
- hemorrhagic fever virus
- epidemiology
- safe burial practices
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References
- Sharon Alane Abramowitz. Epidemics (Especially Ebola). Annual Review of Anthropology, 2017. URL: https://doi.org/10.1146/annurev-anthro-102116-041616.
- Tsanou Berge, Jean M.-S. Lubuma, G.M. Moremedi, G. M. Moremedi, Neil Kenneth Morris, Neil Kennith Morris, and R. Kondera-Shava. A simple mathematical model for Ebola in Africa. Journal of Biological Dynamics, 2017. URL: https://doi.org/10.1080/17513758.2016.1229817.
- James Fairhead. The significance of death, funerals and the after-life in Ebola-hit Sierra Leone, Guinea and Liberia: Anthropological insights into infection and social resistance. Technical report, Institute for Development Studies, University of Nairobi, 2014. URL: https://opendocs.ids.ac.uk/opendocs/handle/20.500.12413/4727.
- Heinz Feldmann and Thomas W. Geisbert. Ebola haemorrhagic fever. The Lancet, 2011. URL: https://doi.org/10.1016/s0140-6736(10)60667-8.
- Centers for Disease Control and Prevention (CDC). What are VHFs?, 2021. URL: https://www.cdc.gov/vhf/about.html.
- Judith Legrand, Rebecca F. Grais, Pierre-Yves Boëlle, Alain-Jacques Valleron, Antoine Flahault, and Antoine Flahault. Understanding the dynamics of ebola epidemics. Epidemiology and Infection, 2007. URL: https://doi.org/10.1017/s0950268806007217.
- Sebastian Lequime, Paul Bastide, Simon Dellicour, Philippe Lemey, and Guy Baele. Nosoi: A stochastic agent‐based transmission chain simulation framework in R. Methods in Ecology and Evolution, 2020. URL: https://doi.org/10.1111/2041-210x.13422.
- Xueping Li and Shima Mohebbi. Modeling Diffusion of Epidemic Diseases via Agent-based Simulation. IIE Annual Conference Proceedings, pages 2156-2162, 2015. Copyright - Copyright Institute of Industrial Engineers-Publisher 2015; Document feature - Diagrams; Tables; Graphs; ; Last updated - 2022-11-13. URL: https://www.proquest.com/scholarly-journals/modeling-diffusion-epidemic-diseases-via-agent/docview/1792022743/se-2.
- Fabian Lorig, Emil Johansson, and Paul Davidsson. Agent-Based Social Simulation of the Covid-19 Pandemic: A Systematic Review. Journal of Artificial Societies and Social Simulation, 24(3):5, 2021. URL: https://doi.org/10.18564/jasss.4601.
- David Masad and Jacqueline L. Kazil. Mesa: An agent-based modeling framework. SciPy, 2015. URL: https://doi.org/10.25080/majora-7b98e3ed-009.
- Stefano Merler, Marco Ajelli, Laura Fumanelli, Marcelo F. C. Gomes, Ana Pastore y Piontti, Luca Rossi, Dennis L. Chao, Ira M. Longini, M. Elizabeth Halloran, and Alessandro Vespignani. Spatio-temporal spread of the Ebola 2014 outbreak in Liberia and the effectiveness of non-pharmaceutical interventions: a computational modelling analysis. Lancet Infectious Diseases, 2015. URL: https://doi.org/10.1016/s1473-3099(14)71074-6.
- Joseph Prescott, Trenton Bushmaker, Robert S. Fischer, Robert J. Fischer, Robert J. Fischer, Kerri L. Miazgowicz, Seth D. Judson, and Vincent J. Munster. Postmortem stability of Ebola virus. Emerging Infectious Diseases, 2015. URL: https://doi.org/10.3201/eid2105.150041.
- Suresh Rewar and Dashrath Mirdha. Transmission of Ebola Virus Disease: An Overview. Annals of Global Health, 2015. URL: https://doi.org/10.1016/j.aogh.2015.02.005.
- Jeffrey Shaman, Wan Yang, and Sasikiran Kandula. Inference and Forecast of the Current West African Ebola Outbreak in Guinea, Sierra Leone and Liberia. PLOS Currents, 2014. URL: https://doi.org/10.1371/currents.outbreaks.3408774290b1a0f2dd7cae877c8b8ff6.
- Constantinos I. Siettos, Cleo G. Anastassopoulou, Lucia Russo, Christos Grigoras, and Eleftherios Mylonakis. Modeling the 2014 Ebola Virus Epidemic – Agent-Based Simulations, Temporal Analysis and Future Predictions for Liberia and Sierra Leone. PLOS Currents, 2015. URL: https://doi.org/10.1371/currents.outbreaks.8d5984114855fc425e699e1a18cdc6c9.
- G. Thomas Strickland. Hunter’s Tropical Medicine and Emerging Infectious Diseases. Revista do Instituto de Medicina Tropical de São Paulo, 2019. URL: https://doi.org/10.1590/s0036-46652001000200018.
- Jing Tang, Sukrit Vinayavekhin, Manapat Weeramongkolkul, Chanakan Suksanon, Kantapat Pattarapremcharoen, Sasinat Thiwathittayanuphap, and Natt Leelawat. Agent-Based Simulation and Modeling of COVID-19 Pandemic: A Bibliometric Analysis. Journal of Disaster Research, 17(1):93-102, January 2022. URL: https://doi.org/10.20965/jdr.2022.p0093.