A systematic review of the data, methods and environmental covariates used to map Aedes-borne arbovirus transmission risk.

ABSTRACT:

Background

Aedes (Stegomyia)-borne diseases are an expanding global threat, but gaps in surveillance make comprehensive and comparable risk assessments challenging. Geostatistical models combine data from multiple locations and use links with environmental and socioeconomic factors to make predictive risk maps. Here we systematically review past approaches to map risk for different Aedes-borne arboviruses from local to global scales, identifying differences and similarities in the data types, covariates, and modelling approaches used.

Methods

We searched on-line databases for predictive risk mapping studies for dengue, Zika, chikungunya, and yellow fever with no geographical or date restrictions. We included studies that needed to parameterise or fit their model to real-worl

SUBMITTER: Lim AY 

PROVIDER: S-EPMC10588093 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature