Generating temporal model using climate variables for the prediction of dengue cases in Subang Jaya, Malaysia

Generating temporal model using climate variables for the prediction of dengue cases in Subang Jaya, Malaysia

Objective: To develop a forecasting model for the incidence of dengue cases in Subang Jaya using time series analysis. Methods: The model was performed using the Autoregressive Integrated Moving Average (ARIMA) based on data collected from 2005 to 2010. The fitted model was then used to predict deng...

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Bibliographic Details
Main Authors: Dom, N.C (Author), Hassan, A.A (Author), Ismail, R. (Author), Latif, Z.A (Author)
Format: Article
Language:English
Subjects:
ARIMA model
article
autoregressive integrated moving average model
climate
Climate
correlation analysis
dengue
Dengue
Forecasting
incidence
infection control
infection prevention
Malaysia
prediction and forecasting
priority journal
statistical model
time series analysis
trend study
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