Please use this identifier to cite or link to this item:
|Title:||Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping Review|
|Authors:||PARSELIA ELISAVET; KONTOES CHARALAMBOS; TSOUNI ALEXIA; HADJICHRISTODOULOU CHRISTOS; KIOUTSIOUKIS IOANNIS; MAGIORKINIS GKIKAS; STILIANAKIS NIKOLAOS|
|Citation:||REMOTE SENSING vol. 11 no. 16 p. 1862-1901|
|Type:||Articles in periodicals and books|
|Abstract:||Earth Observation (EO) data can be leveraged to estimate environmental variables that inﬂuence the transmission cycle of the pathogens that lead to mosquito-borne diseases (MBDs). The aim of this scoping review is to examine the state-of-the-art and identify knowledge gaps on the latest methods that used satellite EO data in their epidemiological models focusing on malaria, dengue and West Nile Virus (WNV). In total, 43 scientiﬁc papers met the inclusion criteria and were considered in this review. Researchers have examined a wide variety of methodologies ranging from statistical to machine learning algorithms. A number of studies used models and EO data that seemed promising and claimed to be easily replicated in different geographic contexts, enabling the realization of systems on regional and national scales. The need has emerged to leverage furthermore new powerful modeling approaches, like artiﬁcial intelligence and ensemble modeling and explore new and enhanced EO sensors towards the analysis of big satellite data, in order to develop accurate epidemiological models and contribute to the reduction of the burden of MBDs.|
|JRC Directorate:||Health, Consumers and Reference Materials|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.