COMOKIT v2: A multi-scale approach to modeling and simulating epidemic control policies
Patrick Taillandier
(1, 2, 3)
,
Kevin Chapuis
(4)
,
Benoit Gaudou
(5)
,
Arthur Brugière
(1, 2)
,
Alexis Drogoul
(1, 6)
1
UMMISCO -
Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
2 Thuyloi University
3 MIAT INRAE - Unité de Mathématiques et Informatique Appliquées de Toulouse
4 UMR 228 Espace-Dev, Espace pour le développement
5 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
6 IRD - Institut de Recherche pour le Développement
2 Thuyloi University
3 MIAT INRAE - Unité de Mathématiques et Informatique Appliquées de Toulouse
4 UMR 228 Espace-Dev, Espace pour le développement
5 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
6 IRD - Institut de Recherche pour le Développement
Patrick Taillandier
- Fonction : Auteur
- PersonId : 735769
- IdHAL : patrick-taillandier
- ORCID : 0000-0003-2939-4827
- IdRef : 139610448
Kevin Chapuis
- Fonction : Auteur
- PersonId : 1098758
- IdHAL : chapuis-kevin
Benoit Gaudou
- Fonction : Auteur
- PersonId : 184851
- IdHAL : benoit-gaudou
- ORCID : 0000-0002-9005-3004
- IdRef : 131428438
Arthur Brugière
- Fonction : Auteur
- PersonId : 1121669
Alexis Drogoul
- Fonction : Auteur
- PersonId : 835360
- ORCID : 0000-0002-9685-9199
- IdRef : 050528041
Résumé
The COVID-19 crisis demonstrated the importance of using models to understand, predict, and manage epidemics, in particular by assessing in advance the effect of different intervention policies. Numerous models have been proposed to answer a wide range of questions, from the impact of open borders to the effectiveness of neighborhood containment to the role of building ventilation in virus dispersion. However, the vast majority of these models are only suited to a scale of representation, analysis, or experimentation. In this article, we present the latest version of the COMOKIT toolbox, which is based on the integration of 3 models (COMOKIT-micro, COMOKIT-meso, and COMOKIT-macro) enabling these questions to be addressed at different geographical scales of analysis and exploration, from the building scale to the scale of entire countries. An application of these 3 models to various questions concerning public health policies against COVID-19 is presented and discussed.
Domaines
Informatique [cs]Format du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
COMOKIT v2: A multi-scale approach to modeling and simulating epidemic control policies
|
Résumé |
en
The COVID-19 crisis demonstrated the importance of using models to understand, predict, and manage epidemics, in particular by assessing in advance the effect of different intervention policies. Numerous models have been proposed to answer a wide range of questions, from the impact of open borders to the effectiveness of neighborhood containment to the role of building ventilation in virus dispersion. However, the vast majority of these models are only suited to a scale of representation, analysis, or experimentation. In this article, we present the latest version of the COMOKIT toolbox, which is based on the integration of 3 models (COMOKIT-micro, COMOKIT-meso, and COMOKIT-macro) enabling these questions to be addressed at different geographical scales of analysis and exploration, from the building scale to the scale of entire countries. An application of these 3 models to various questions concerning public health policies against COVID-19 is presented and discussed.
|
Auteur(s) |
Patrick Taillandier
1, 2, 3
, Kevin Chapuis
4
, Benoit Gaudou
5
, Arthur Brugière
1, 2
, Alexis Drogoul
1, 6
1
UMMISCO -
Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
( 541946 )
- IRD France Nord - 32 avenue Henri Varagnat - 93143 Bondy cedex
- France
2
Thuyloi University
( 534087 )
- Viêt Nam
3
MIAT INRAE -
Unité de Mathématiques et Informatique Appliquées de Toulouse
( 1002385 )
- Chemin de Borde Rouge, 31320 Castanet Tolosan
- France
4
UMR 228 Espace-Dev, Espace pour le développement
( 1100724 )
- IRD - Maison de la Télédétection - 500 rue Jean-François Breton - 34093 Montpellier
- France
5
IRIT-SMAC -
Systèmes Multi-Agents Coopératifs
( 396069 )
- IRIT
118 Route de Narbonne
31062 Toulouse Cedex 9
- France
6
IRD -
Institut de Recherche pour le Développement
( 67872 )
- Siège
Le Sextant
44, bd de Dunkerque
CS 90009
13572 Marseille cedex 02
- France
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
URL éditeur |
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0299626
|
Langue du document |
Anglais
|
Licence |
Paternité
|
Nom de la revue |
|
Date de publication |
2024-03-22
|
Volume |
19
|
Numéro |
3
|
Page/Identifiant |
e0299626
|
Domaine(s) |
|
DOI | 10.1371/journal.pone.0299626 |
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