Multivariate spatio-temporal approach to identify vulnerable localities in dengue risk areas using Geographic Information System (GIS).

ABSTRACT: Dengue is one of the most important vector-borne infection in Sri Lanka currently leading to vast economic and social burden. Neither a vaccine nor drug is still not being practiced, vector controlling is the best approach to control disease transmission in the country. Therefore, early warning systems are imminent requirement. The aim of the study was to develop Geographic Information System (GIS)-based multivariate analysis model to detect risk hotspots of dengue in the Gampaha District, Sri Lanka to control diseases transmission. A risk model and spatial Poisson point process model were developed using separate layers for patient incidence locations, positive breeding containers, roads, total buildings, public places, land use maps and elevation in four high risk areas in the district.

SUBMITTER: Withanage GP 

PROVIDER: S-EPMC7892844 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature