Optimal resource allocation model for COVID-19: a systematic review and meta-analysis.

ABSTRACT:

Background

A lack of health resources is a common problem after the outbreak of infectious diseases, and resource optimization is an important means to solve the lack of prevention and control capacity caused by resource constraints. This study systematically evaluated the similarities and differences in the application of coronavirus disease (COVID-19) resource allocation models and analyzed the effects of different optimal resource allocations on epidemic control.

Methods

A systematic literature search was conducted of CNKI, WanFang, VIP, CBD, PubMed, Web of Science, Scopus and Embase for articles published from January 1, 2019, through November 23, 2023. Two reviewers independently evaluated the quality of the included studies, extracted and cross-checked the data. Moreov

SUBMITTER: Wang YY 

PROVIDER: S-EPMC10865525 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature