Publications des scientifiques de l'IRD

Roche Benjamin, Duboz R. (2017). Individual-based models for public health. In : Srinivasa Rao A.S.R (ed.), Pyne S. (ed.), Rao C.R. (ed.). Disease modelling and public health, part B. p. 347-365. (Handbook of Statistics ; 37). ISSN 0169-7161.

Titre du document
Individual-based models for public health
Année de publication
2017
Type de document
Partie d'ouvrage
Auteurs
Roche Benjamin, Duboz R.
In
Srinivasa Rao A.S.R (ed.), Pyne S. (ed.), Rao C.R. (ed.) Disease modelling and public health, part B
Source
2017, p. 347-365 (Handbook of Statistics ; 37). ISSN 0169-7161
Today, infectious diseases represent a threatening concern for human health. Understanding their transmission, and possibly forecasting the dynamics of these pathogens, represents both a scientific and sanitary emergency. To this goal, mathematical modeling has been a widely used tool. Nevertheless, they have important limitations to explicitly model the mechanisms involved in the infectious processes at the individual level. Thanks to the increase of computing capacity, computational models such as individual-based models (IBMs) are very relevant for understanding the complexity of mechanisms at the individual level that can be involved in disease outbreaks. Their computational formalism allows a large flexibility, while they rely on the same philosophy than current models in mathematical epidemiology that have proved their relevance. In this chapter, we review the main qualities of IBMs, what kind of new knowledge they can bring and they have already produced in epidemiological modeling. Then, we highlight their caveats and what could be developed during the future years to make IBMs a more reliable and useful approach.
Plan de classement
Mathématiques appliquées [020MATH01] ; Epidémiologie générale [050EPID]
Descripteurs
SANTE PUBLIQUE ; EPIDEMIOLOGIE ; AGENT PATHOGENE ; MODELISATION ; MODELE MATHEMATIQUE ; METHODOLOGIE ; LOGICIEL D'APPLICATION ; ANALYSE SPATIALE ; BIOINFORMATIQUE
Localisation
Fonds IRD [F B010073233]
Identifiant IRD
fdi:010073233
Contact