A systematic review of dengue outbreak prediction models: Current scenario and future directions.

ABSTRACT: Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks often overwhelm the health system and result in huge morbidity and mortality in its endemic populations in the absence of an efficient warning system. A large number of prediction models are currently in use globally. As such, this study aimed to systematically review the published literature that used quantitative models to predict dengue outbreaks and provide insights about the current practices. A systematic search was undertaken, using the Ovid MEDLINE, EMBASE, Scopus and Web of Science databases for published citations, without time or geographical restrictions. Study selection, data extraction and management process were devised in accordance with the 'Checklist for Critical Appraisal and Data Extra

SUBMITTER: Leung XY 

PROVIDER: S-EPMC9956653 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature