PREDICTION AND VISUALIZATION OF RELATIVE RISK MAPS USING AUTOREGRESSIVE DISTRIBUTED LAG (ADL) AND CONDITIONALLY AUTOREGRESSIVE (CAR) MODELS
Dengue fever (DHF) is an infectious disease caused by one of four different dengue viruses and is transmitted by mosquitoes, mainly Aedes aegypti and Aedes albopictus, found in tropical and subtropical regions. Dengue fever (DHF) is still one of the major public health problems in Indonesia. Along w...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/77214 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Dengue fever (DHF) is an infectious disease caused by one of four different dengue viruses and is transmitted by mosquitoes, mainly Aedes aegypti and Aedes albopictus, found in tropical and subtropical regions. Dengue fever (DHF) is still one of the major public health problems in Indonesia. Along with increasing mobility and population density, the number of sufferers and the area of spread is increasing. This can be caused by climate change and low awareness to maintain environmental hygiene. This can be anticipated by modeling cases with the Autorgressive Distributed Lag (ADL) model and predicting for each region to map the risk into relative risk groups using the Localized Conditionally Autoregressive (CAR) Model. In this discussion, ADL and CAR models are used to see how far the risk of dengue cases can be formed and can anticipate the riskiest locations first. This research focuses on examining dengue cases in Semarang City from 2016 to 2021. The methodology begins with checking stationarity by looking at the P-value that is smaller than alpha, which is 0.05. The second step is to determine the appropriate model by looking at the cointegrity test and also checking the best model of the corresponding ADL. The third stage is modeling the ADL that is in accordance with the best model ADL (1,12) with ????2= 68% and making predictions for each sub-district in Semarang City. The next stage determines the value of the Moran Index to see whether autocorrelation occurs or not. Next, the best CAR modeling is used to map the risk based on the selected group. In this case, two clusters were obtained with a WAIC value of 108.43. These results indicate that the riskiest locations are divided into two, namely: Group 1 with low relative risk of DHF cases are Mijen, West Semarang, Gajah Mungkur, Candisari, South Semarang, Central Semarang, East Semarang, Gayamsari, North Semarang, Tugu. Sub-districts in group 2 with high relative risk are Ngaliyan, Gunungpati, Banyumanik, Tembalang, Pedurungan, Genuk |
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