DENGUE FEVER OUTBREAK INCIDENCE RATE MODEL FORECASTING USING CLIMATIC FACTORS
DHF (Dengue Hemorrhagic Fever) has been a problem in Indonesia for a long time and its incidence rate fluctuating each year. Various researches have been conducted and it is proven that climatic factors affect dengue incidence rate, and also effective in some region to predict the incidence rate. Ho...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/26634 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | DHF (Dengue Hemorrhagic Fever) has been a problem in Indonesia for a long time and its incidence rate fluctuating each year. Various researches have been conducted and it is proven that climatic factors affect dengue incidence rate, and also effective in some region to predict the incidence rate. However, application using machine learning is still rare and concentrated to certain region only. A study of forecasting Dengue cases in a bigger region and creating prompt result is needed to reach the goal of epidemiological surveillance in Indonesia. The study in this paper consisted of data from regions in Java based on its meteorological data availability, and it is found that albeit the RBF SVR shown the best result among other methods, climatic factors are not sufficient to forecast the incidence rate of DHF. |
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