Forecasting dengue fever cases using autoregressive distributed lag model with outlier factor

NM Huda, U Mukhaiyar, US Pasaribu - AIP Conference Proceedings, 2020 - pubs.aip.org
Dengue is a mosquito-borne viral infection that has become one of the public health's
biggest challenges. Dengue fever is transmitted through the Aedes Aegpty mosquito. One of
the factors that can affect to dengue fever cases is climate factors. The climate change can
make the number of dengue fever cases significantly increase. Therefore, the aims of this
research are modeling and forecasting dengue fever cases by using Autoregressive
Distributed Lag (ADL) model with outlier factor. ADL model is a model in time series which …

[PDF][PDF] Forecasting dengue fever cases using autoregressive distributed lag model with outlier factor

UM Nur'ainul Miftahul Huda, US Pasaribu - 2020 - researchgate.net
Dengue is a mosquito-borne viral infection that has become one of the public health's
biggest challenges. Dengue fever is transmitted through the Aedes Aegpty mosquito. One of
the factors that can affect to dengue fever cases is climate factors. The climate change can
make the number of dengue fever cases significantly increase. Therefore, the aims of this
research are modeling and forecasting dengue fever cases by using Autoregressive
Distributed Lag (ADL) model with outlier factor. ADL model is a model in time series which …
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