A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data.

TitleA data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data.
Publication TypeJournal Article
Year of Publication2012
AuthorsBuczak, AL, Koshute, PT, Babin, SM, Feighner, BH, Lewis, SH
JournalBMC medical informatics and decision making
Volume12
Start Page124
Date Published2012
ISSN1472-6947
Abstract

Dengue is the most common arboviral disease of humans, with more than one third of the world's population at risk. Accurate prediction of dengue outbreaks may lead to public health interventions that mitigate the effect of the disease. Predicting infectious disease outbreaks is a challenging task; truly predictive methods are still in their infancy.

DOI10.1186/1472-6947-12-124
Alternate JournalBMC Med Inform Decis Mak
Refereed DesignationRefereed