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Simulating Sleeping Sickness: a two host agent-based model

Simulating Sleeping Sickness: a two host agent-based model
Simulating Sleeping Sickness: a two host agent-based model
Agent-based modelling is useful for policy evaluation in fields such as epidemiology. The current paper presents a model of Human African Trypanosomiasis (HAT), or sleeping sickness: a disease which is becoming increasingly prominent due to recent epidemics. Associated medication is often scarce, whilst diagnosis through blood screening is not always effective. Current modelling methodology uses simple reaction-diffusion models to predict future epidemics, but this makes policy at the village level difficult to evaluate. Agent-based, object-oriented simulation provides a simple means of adding complexity to models of sleeping sickness, allowing the easy incorporation of spatial and vector data. We present an exploratory two-host agent-based simulation for humans and cattle, applying known values for sleeping sickness infection rate, before evaluating the model’s policy implications and suggesting steps for future improvement.
27-34
Alderton, Simon Mark
ec893713-8c3f-465e-8a22-c719744d9f8c
Noble, Jason
440f07ba-dbb8-4d66-b969-36cde4e3b764
Atkinson, Peter
96e96579-56fe-424d-a21c-17b6eed13b0b
Alderton, Simon Mark
ec893713-8c3f-465e-8a22-c719744d9f8c
Noble, Jason
440f07ba-dbb8-4d66-b969-36cde4e3b764
Atkinson, Peter
96e96579-56fe-424d-a21c-17b6eed13b0b

Alderton, Simon Mark, Noble, Jason and Atkinson, Peter (2013) Simulating Sleeping Sickness: a two host agent-based model. In, Advances in Artificial Life, Ecal 2013. (Advances in Artificial Life, Ecal 2013, , (doi:10.7551/978-0-262-31709-2-ch005)) pp. 27-34. (doi:10.7551/978-0-262-31709-2-ch005).

Record type: Book Section

Abstract

Agent-based modelling is useful for policy evaluation in fields such as epidemiology. The current paper presents a model of Human African Trypanosomiasis (HAT), or sleeping sickness: a disease which is becoming increasingly prominent due to recent epidemics. Associated medication is often scarce, whilst diagnosis through blood screening is not always effective. Current modelling methodology uses simple reaction-diffusion models to predict future epidemics, but this makes policy at the village level difficult to evaluate. Agent-based, object-oriented simulation provides a simple means of adding complexity to models of sleeping sickness, allowing the easy incorporation of spatial and vector data. We present an exploratory two-host agent-based simulation for humans and cattle, applying known values for sleeping sickness infection rate, before evaluating the model’s policy implications and suggesting steps for future improvement.

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Published date: 2013

Identifiers

Local EPrints ID: 417830
URI: https://eprints.soton.ac.uk/id/eprint/417830
PURE UUID: 57cc4926-0198-4ddf-949a-9f54473d2abf
ORCID for Peter Atkinson: ORCID iD orcid.org/0000-0002-5489-6880

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Date deposited: 15 Feb 2018 17:30
Last modified: 18 May 2019 00:38

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