A novel epidemiologically informed particle filter for assessing epidemic phenomena. Application to the monkeypox outbreak of 2022

DOI10.1088/1361-6420/ad1e2fOpenAlexW4390814639MaRDI QIDQ6194967

Pavlos Kolias, Unnamed Author

Publication date: 16 February 2024

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/1361-6420/ad1e2f

zbMATH Keywords

population dynamicsepidemicsBayesian estimationparticle filteringepidemiological modelingmonkeypox

Mathematics Subject Classification ID

Epidemiology (92D30) Signal detection and filtering (aspects of stochastic processes) (60G35)

Cites Work

• Stochastic descriptors to study the fate and potential of naive T cell clonotypes in the periphery
• Comparison of deterministic and stochastic SIS and SIR models in discrete time
• A stochastic epidemic model with two quarantine states and limited carrying capacity for quarantine
• Mathematical modeling of COVID-19 pandemic in the context of sub-Saharan Africa: a short-term forecasting in Cameroon and Gabon
• Stochastic Epidemic Models with Inference
• Mathematical Models in Epidemiology
• Measures to assess a warning vaccination level in a stochastic SIV model with imperfect vaccine
• Bayesian particle filter algorithm for learning epidemic dynamics

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