Simulating the elimination of sleeping sickness with an agent-based model

Although Human African Trypanosomiasis is largely considered to be in the process of extinction today, the persistence of human and animal reservoirs, as well as the vector, necessitates a laborious elimination process. In this context, modeling could be an effective tool to evaluate the ability of different public health interventions to control the disease. Using the Cormas® system, we developed HATSim, an agent-based model capable of simulating the possible endemic evolutions of sleeping sickness and the ability of National Control Programs to eliminate the disease. This model takes into account the analysis of epidemiological, entomological, and ecological data from field studies conducted during the last decade, making it possible to predict the evolution of the disease within this area over a 5-year span. In this article, we first present HATSim according to the Overview, Design concepts, and Details (ODD) protocol that is classically used to describe agent-based models, then, in a second part, we present predictive results concerning the evolution of Human African Trypanosomiasis in the village of Lambi (Cameroon), in order to illustrate the interest of such a tool. Our results are consistent with what was observed in the field by the Cameroonian National Control Program (CNCP). Our simulations also revealed that regular screening can be sufficient, although vector control applied to all areas with human activities could be significantly more efficient. Our results indicate that the current model can already help decision-makers in planning the elimination of the disease in foci.

Saved in:
Bibliographic Details
Main Authors: Grébaut, Pascal, Girardin, Killian, Fédérico, Valentine, Bousquet, François
Format: article biblioteca
Language:eng
Subjects:S50 - Santé humaine, U10 - Informatique, mathématiques et statistiques, L73 - Maladies des animaux,
Online Access:http://agritrop.cirad.fr/582717/
http://agritrop.cirad.fr/582717/1/parasite150078.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-cirad-fr-582717
record_format koha
spelling dig-cirad-fr-5827172022-04-15T14:15:57Z http://agritrop.cirad.fr/582717/ http://agritrop.cirad.fr/582717/ Simulating the elimination of sleeping sickness with an agent-based model. Grébaut Pascal, Girardin Killian, Fédérico Valentine, Bousquet François. 2016. Parasite, 23:e63, 11 p.https://doi.org/10.1051/parasite/2016066 <https://doi.org/10.1051/parasite/2016066> Researchers Simulating the elimination of sleeping sickness with an agent-based model Grébaut, Pascal Girardin, Killian Fédérico, Valentine Bousquet, François eng 2016 Parasite S50 - Santé humaine U10 - Informatique, mathématiques et statistiques L73 - Maladies des animaux Although Human African Trypanosomiasis is largely considered to be in the process of extinction today, the persistence of human and animal reservoirs, as well as the vector, necessitates a laborious elimination process. In this context, modeling could be an effective tool to evaluate the ability of different public health interventions to control the disease. Using the Cormas® system, we developed HATSim, an agent-based model capable of simulating the possible endemic evolutions of sleeping sickness and the ability of National Control Programs to eliminate the disease. This model takes into account the analysis of epidemiological, entomological, and ecological data from field studies conducted during the last decade, making it possible to predict the evolution of the disease within this area over a 5-year span. In this article, we first present HATSim according to the Overview, Design concepts, and Details (ODD) protocol that is classically used to describe agent-based models, then, in a second part, we present predictive results concerning the evolution of Human African Trypanosomiasis in the village of Lambi (Cameroon), in order to illustrate the interest of such a tool. Our results are consistent with what was observed in the field by the Cameroonian National Control Program (CNCP). Our simulations also revealed that regular screening can be sufficient, although vector control applied to all areas with human activities could be significantly more efficient. Our results indicate that the current model can already help decision-makers in planning the elimination of the disease in foci. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/582717/1/parasite150078.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1051/parasite/2016066 10.1051/parasite/2016066 info:eu-repo/semantics/altIdentifier/doi/10.1051/parasite/2016066 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1051/parasite/2016066
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic S50 - Santé humaine
U10 - Informatique, mathématiques et statistiques
L73 - Maladies des animaux
S50 - Santé humaine
U10 - Informatique, mathématiques et statistiques
L73 - Maladies des animaux
spellingShingle S50 - Santé humaine
U10 - Informatique, mathématiques et statistiques
L73 - Maladies des animaux
S50 - Santé humaine
U10 - Informatique, mathématiques et statistiques
L73 - Maladies des animaux
Grébaut, Pascal
Girardin, Killian
Fédérico, Valentine
Bousquet, François
Simulating the elimination of sleeping sickness with an agent-based model
description Although Human African Trypanosomiasis is largely considered to be in the process of extinction today, the persistence of human and animal reservoirs, as well as the vector, necessitates a laborious elimination process. In this context, modeling could be an effective tool to evaluate the ability of different public health interventions to control the disease. Using the Cormas® system, we developed HATSim, an agent-based model capable of simulating the possible endemic evolutions of sleeping sickness and the ability of National Control Programs to eliminate the disease. This model takes into account the analysis of epidemiological, entomological, and ecological data from field studies conducted during the last decade, making it possible to predict the evolution of the disease within this area over a 5-year span. In this article, we first present HATSim according to the Overview, Design concepts, and Details (ODD) protocol that is classically used to describe agent-based models, then, in a second part, we present predictive results concerning the evolution of Human African Trypanosomiasis in the village of Lambi (Cameroon), in order to illustrate the interest of such a tool. Our results are consistent with what was observed in the field by the Cameroonian National Control Program (CNCP). Our simulations also revealed that regular screening can be sufficient, although vector control applied to all areas with human activities could be significantly more efficient. Our results indicate that the current model can already help decision-makers in planning the elimination of the disease in foci.
format article
topic_facet S50 - Santé humaine
U10 - Informatique, mathématiques et statistiques
L73 - Maladies des animaux
author Grébaut, Pascal
Girardin, Killian
Fédérico, Valentine
Bousquet, François
author_facet Grébaut, Pascal
Girardin, Killian
Fédérico, Valentine
Bousquet, François
author_sort Grébaut, Pascal
title Simulating the elimination of sleeping sickness with an agent-based model
title_short Simulating the elimination of sleeping sickness with an agent-based model
title_full Simulating the elimination of sleeping sickness with an agent-based model
title_fullStr Simulating the elimination of sleeping sickness with an agent-based model
title_full_unstemmed Simulating the elimination of sleeping sickness with an agent-based model
title_sort simulating the elimination of sleeping sickness with an agent-based model
url http://agritrop.cirad.fr/582717/
http://agritrop.cirad.fr/582717/1/parasite150078.pdf
work_keys_str_mv AT grebautpascal simulatingtheeliminationofsleepingsicknesswithanagentbasedmodel
AT girardinkillian simulatingtheeliminationofsleepingsicknesswithanagentbasedmodel
AT federicovalentine simulatingtheeliminationofsleepingsicknesswithanagentbasedmodel
AT bousquetfrancois simulatingtheeliminationofsleepingsicknesswithanagentbasedmodel
_version_ 1758025192743895040