A hospital demand and capacity intervention approach for COVID-19.

ABSTRACT: The mathematical interpretation of interventions for the mitigation of epidemics in the literature often involves finding the optimal time to initiate an intervention and/or the use of the number of infections to manage impact. Whilst these methods may work in theory, in order to implement effectively they may require information which is not likely to be available in the midst of an epidemic, or they may require impeccable data about infection levels in the community. In reality, testing and cases data can only be as good as the policy of implementation and the compliance of the individuals, which implies that accurately estimating the levels of infections becomes difficult or complicated from the data that is provided. In this paper, we demonstrate a different approach to the mathematica

SUBMITTER: Van Yperen J 

PROVIDER: S-EPMC10156009 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature