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.
Preview |
Text
LIPIcs-GIScience-2023-48.pdf - Published Version Download (1MB) | Preview |
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 |
Archive Staff Only
 |
View Item |
