Time-series modelling of dengue incidence in the Mekong Delta region of Viet Nam using remote sensing data.

ABSTRACT:

Objective

This study aims to enhance the capacity of dengue prediction by investigating the relationship of dengue incidence with climate and environmental factors in the Mekong Delta region (MDR) of Viet Nam by using remote sensing data.

Methods

To produce monthly data sets for each province, we extracted and aggregated precipitation data from the Global Satellite Mapping of Precipitation project and land surface temperatures and normalized difference vegetation indexes from the Moderate Resolution Imaging Spectroradiometer satellite observations. Monthly data sets from 2000 to 2016 were used to construct autoregressive integrated moving average (ARIMA) models to predict dengue incidence for 12 provinces across the study region.

Results

The final models were able to

SUBMITTER: Pham NT 

PROVIDER: S-EPMC7485513 | biostudies-literature | 2020 Jan-Mar

REPOSITORIES: biostudies-literature