Mathematical Modelling of Parasite Dynamics: A Stochastic Simulation-Based Approach and Parameter Estimation via Modified Sequential-Type Approximate Bayesian Computation.
Gyrodactylus
Approximate Bayesian computation
Host-parasite modelling
Individual-based model
Tau-leaping simulation
Journal
Bulletin of mathematical biology
ISSN: 1522-9602
Titre abrégé: Bull Math Biol
Pays: United States
ID NLM: 0401404
Informations de publication
Date de publication:
10 Apr 2024
10 Apr 2024
Historique:
received:
11
10
2023
accepted:
12
03
2024
medline:
10
4
2024
pubmed:
10
4
2024
entrez:
10
4
2024
Statut:
epublish
Résumé
The development of mathematical models for studying newly emerging and re-emerging infectious diseases has gained momentum due to global events. The gyrodactylid-fish system, like many host-parasite systems, serves as a valuable resource for ecological, evolutionary, and epidemiological investigations owing to its ease of experimental manipulation and long-term monitoring. Although this system has an existing individual-based model, it falls short in capturing information about species-specific microhabitat preferences and other biological details for different Gyrodactylus strains across diverse fish populations. This current study introduces a new individual-based stochastic simulation model that uses a hybrid
Identifiants
pubmed: 38598133
doi: 10.1007/s11538-024-01281-5
pii: 10.1007/s11538-024-01281-5
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
54Informations de copyright
© 2024. The Author(s).
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