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Agent-Based Modelling and Disease: Demonstrating the Role of Human Remains in Epidemic Outbreaks

Liu, Huixin; Wise, Sarah; (2023) Agent-Based Modelling and Disease: Demonstrating the Role of Human Remains in Epidemic Outbreaks. In: Beecham, Roger and Long, Jed A and Smith, Dianna and Zhao, Qunshan and Wise, Sarah, (eds.) 12th International Conference on Geographic Information Science (GIScience 2023). (pp. 48:1-48:7). Dagstuhl Publishing: Wadern, Germany. Green open access

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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.

Type: Proceedings paper
Title: Agent-Based Modelling and Disease: Demonstrating the Role of Human Remains in Epidemic Outbreaks
Event: 12th International Conference on Geographic Information Science (GIScience 2023)
ISBN-13: 9783959772884
Open access status: An open access version is available from UCL Discovery
DOI: 10.4230/LIPIcs.GIScience.2023.48
Publisher version: https://doi.org/10.4230/LIPIcs.GIScience.2023.48
Language: English
Additional information: This is an Open Access article published under a Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/).
Keywords: Disease modelling, agent-based model, hemorrhagic fever virus, epidemiology, safe burial practices
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10178770
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