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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/26634 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| id |
id-itb.:26634 |
|---|---|
| spelling |
id-itb.:266342018-10-03T13:48:25ZDENGUE FEVER OUTBREAK INCIDENCE RATE MODEL FORECASTING USING CLIMATIC FACTORS UTAMI, DIASTUTI Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/26634 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. text |
| institution |
Institut Teknologi Bandung |
| building |
Institut Teknologi Bandung Library |
| continent |
Asia |
| country |
Indonesia Indonesia |
| content_provider |
Institut Teknologi Bandung |
| collection |
Digital ITB |
| language |
Indonesia |
| description |
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. |
| format |
Final Project |
| author |
UTAMI, DIASTUTI |
| spellingShingle |
UTAMI, DIASTUTI DENGUE FEVER OUTBREAK INCIDENCE RATE MODEL FORECASTING USING CLIMATIC FACTORS |
| author_facet |
UTAMI, DIASTUTI |
| author_sort |
UTAMI, DIASTUTI |
| title |
DENGUE FEVER OUTBREAK INCIDENCE RATE MODEL FORECASTING USING CLIMATIC FACTORS |
| title_short |
DENGUE FEVER OUTBREAK INCIDENCE RATE MODEL FORECASTING USING CLIMATIC FACTORS |
| title_full |
DENGUE FEVER OUTBREAK INCIDENCE RATE MODEL FORECASTING USING CLIMATIC FACTORS |
| title_fullStr |
DENGUE FEVER OUTBREAK INCIDENCE RATE MODEL FORECASTING USING CLIMATIC FACTORS |
| title_full_unstemmed |
DENGUE FEVER OUTBREAK INCIDENCE RATE MODEL FORECASTING USING CLIMATIC FACTORS |
| title_sort |
dengue fever outbreak incidence rate model forecasting using climatic factors |
| url |
https://digilib.itb.ac.id/gdl/view/26634 |
| _version_ |
1822021070148861952 |