Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques

Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques

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Dengue fever is a mosquito-borne disease that affects nearly 3.9 billion people globally. Dengue remains endemic in Malaysia since its outbreak in the 1980’s, with its highest concentration of cases in the state of Selangor. Predictors of dengue fever outbreaks could provide timely information for h...

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Bibliographic Details
Main Authors: Dapari, R. (Author), Haque, U. (Author), Mudin, R.N (Author), Reeves, C. (Author), Salim, N.A.M (Author), Sapri, N.N.F.F (Author), Smith, M. (Author), Wah, Y.B (Author), Yaacob, W.F.W (Author)
Format: Article
Language:English
Published: Nature Research 2021
Series:Scientific Reports
Subjects:
Aedes
algorithm
Algorithms
animal
Animals
climate
Climate
dengue
Dengue
Disease Outbreaks
epidemic
forecasting
Forecasting
human
Humans
incidence
Incidence
machine learning
Machine Learning
Malaysia
mosquito vector
Mosquito Vectors
pathogenicity
prevention and control
procedures
season
Seasons
temperature
Temperature
Vector Borne Diseases
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