Optimal prevention and elimination of infectious diseases
| dc.rights.license | open | en_US |
| dc.contributor.author | D’ALBIS, Hippolyte | |
| hal.structure.identifier | Groupe de Recherche en Economie Théorique et Appliquée [GREThA] | |
| dc.contributor.author | AUGERAUD-VÉRON, Emmanuelle | |
| dc.date.accessioned | 2022-02-16T16:27:30Z | |
| dc.date.available | 2022-02-16T16:27:30Z | |
| dc.date.issued | 2021 | |
| dc.identifier.issn | 0304-4068 | en_US |
| dc.identifier.uri | oai:crossref.org:10.1016/j.jmateco.2021.102487 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/124752 | |
| dc.description.abstractEn | This article studies the optimal intertemporal allocation of resources devoted to the prevention of deterministic infectious diseases that admit an endemic steady-state. Under general assumptions, the optimal control problem is shown to be formally similar to an optimal growth model with endogenous discounting. The optimal dynamics then depends on the interplay between the epidemiological characteristics of the disease, the labor productivity and the degree of intergenerational equity. Phase diagrams analysis reveals that multiple trajectories, which converge to endemic steady-states with or without prevention or to the elimination of the disease, are feasible. Elimination implies initially a larger prevention than in other trajectories, but after a finite date, prevention is equal to zero. This “sooner-the-better” strategy is shown to be optimal if the pure discount rate is sufficiently low. | |
| dc.language.iso | EN | en_US |
| dc.source | crossref | |
| dc.subject.en | Infectious diseases | |
| dc.subject.en | Optimal control | |
| dc.title.en | Optimal prevention and elimination of infectious diseases | |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1016/j.jmateco.2021.102487 | en_US |
| dc.subject.hal | Économie et finance quantitative [q-fin] | en_US |
| dc.subject.jel | I - Health, Education, and Welfare::I1 - Health::I18 - Government Policy; Regulation; Public Health | en_US |
| dc.subject.jel | C - Mathematical and Quantitative Methods::C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling::C61 - Optimization Techniques; Programming Models; Dynamic Analysis | en_US |
| dc.subject.jel | E - Macroeconomics and Monetary Economics::E1 - General Aggregative Models::E13 - Neoclassical | en_US |
| bordeaux.journal | Journal of Mathematical Economics | en_US |
| bordeaux.page | 102487 | en_US |
| bordeaux.volume | 93 | en_US |
| bordeaux.hal.laboratories | Groupe de Recherche en Economie Théorique et Appliquée (GREThA) - UMR 5113 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | CNRS | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.import.source | dissemin | |
| hal.identifier | halshs-03166714 | |
| hal.version | 1 | |
| hal.export | true | |
| workflow.import.source | dissemin | |
| dc.rights.cc | Pas de Licence CC | en_US |
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