Prediction of dengue outbreaks based on disease surveillance, meteorological and socio-economic data

Prediction of dengue outbreaks based on disease surveillance, meteorological and socio-economic data

Abstract Background The goal of this research is to create a system that can use the available relevant information about the factors responsible for the spread of dengue and; use it to predict the occurrence of dengue within a geographical region, so that public health experts can prepare for, mana...

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Bibliographic Details
Main Authors: Raghvendra Jain, Sra Sontisirikit, Sopon Iamsirithaworn, Helmut Prendinger
Format: Article
Language:English
Published: BMC 2019-03-01
Series:BMC Infectious Diseases
Subjects:
Dengue forecasting
Data-driven epidemiology
Disease surveillance
Generalized additive models (GAMs)
Online Access:http://link.springer.com/article/10.1186/s12879-019-3874-x

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