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

BMC Med. Inf. & Decision Making, pp. 1242012.

Cited by: 30|Bibtex|Views4|DOI:https://doi.org/10.1186/1472-6947-12-124
EI WOS
Other Links: dblp.uni-trier.de|pubmed.ncbi.nlm.nih.gov|academic.microsoft.com|link.springer.com

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 the...More

Code:

Data:

Your rating :
0

 

Tags
Comments