Prediction of hookworm prevalence in southern India using environmental parameters derived from Landsat 8 remotely sensed data.

ABSTRACT: Soil-transmitted helminth infections propagate poverty and slow economic growth in low-income countries. As with many other neglected tropical diseases, environmental conditions are important determinants of soil-transmitted helminth transmission. Hence, remotely sensed data are commonly utilised in spatial risk models intended to inform control strategies. In the present study, we build upon the existing modelling approaches by utilising fine spatial resolution Landsat 8 remotely sensed data in combination with topographic variables to predict hookworm prevalence in a hilly tribal area in southern India. Hookworm prevalence data collected from two field surveys were used in a random forest model to investigate the predictive capacity of 15 environmental variables derived from two remotely

SUBMITTER: Kulinkina AV 

PROVIDER: S-EPMC6981258 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature