Unknown

Dataset Information

Reviewing the progress of infectious disease early warning systems and planning for the future.


ABSTRACT:

Background

Past reviews of infectious disease early warning systems have encountered some limitations, such as a focus on specific diseases or regions in certain studies and constraints imposed by time delays in others. This study conducts a comprehensive analysis of infectious disease early warning systems, with a particular emphasis on assessing the development of these systems in the recent five years (2019 to 2023). The goal is to provide insights for future related research.

Methods

A comprehensive retrospective review was undertaken, utilizing data sourced from four prominent databases: WanFang Data, China National Knowledge Infrastructure (CNKI), Web of Science, and PubMed. Following a meticulous classification process, a total of 49 articles aligning with our inclusi

SUBMITTER: Li Z 

PROVIDER: S-EPMC11542453 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature