Optimal control prevents itself from eradicating stochastic disease epidemics.

ABSTRACT: The resources available for managing disease epidemics - whether in animals, plants or humans - are limited by a range of practical and financial constraints. Optimal control has been widely explored for optimising allocation of these resources to maximise their impact. The most common approach assumes a deterministic, continuous model to approximate the epidemic dynamics. However, real systems are stochastic and so a range of outcomes are possible for any given epidemic situation. The deterministic models are also known to be poor approximations in cases where the number of infected hosts is low - either globally or within a subset of the population - and these cases are highly relevant in the context of control. Hence, this work explores the effectiveness of disease management strategies

SUBMITTER: Russell R 

PROVIDER: S-EPMC11844887 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature