Cumulative damage for multi-type epidemics and an application to infectious diseases

DOI10.1007/s00285-023-01880-1OpenAlexW4321017806MaRDI QIDQ2689526

Raúl Fierro

Publication date: 10 March 2023

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00285-023-01880-1

zbMATH Keywords

asymptotic distributionhypothesis testingmultivariate analysisCovid-19homogeneity in epidemics

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Taxonomy, cladistics, statistics in mathematical biology (92B10) General biology and biomathematics (92B05)

Cites Work

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• Epidemiological models for heterogeneous populations: Proportionate mixing, parameter estimation, and immunization programs
• Point processes and queues. Martingale dynamics
• Cumulative damage and times of occurrence for a multicomponent system: a discrete time approach
• An epidemic model with short-lived mixing groups
• GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model
• Optimal control of epidemic size and duration with limited resources
• Some limit theorems for Hawkes processes and application to financial statistics
• Optimal Control Strategies for Virus Spreading in Inhomogeneous Epidemic Dynamics
• Approximation Theorems of Mathematical Statistics
• Marked point process models for the admissions of heart failure patients
• The Hawkes Process with Different Exciting Functions and its Asymptotic Behavior
• On the Monotonicity, Log-Concavity, and Tight Bounds of the Generalized Marcum and Nuttall $Q$-Functions

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