Simulation of Dengue Outbreak Prediction
Neural Network Model (NNM), Hidden Markov Model (HMM) and Regression Model (RM) are developed to predict the spread of dengue outbreak in Malaysia. The case study covered dengue cases data from Selangor, which include seven mukims and eight administrative districts in year of 2004 and 2005. Specific...
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Format: | Conference or Workshop Item |
Language: | English |
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2006
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Online Access: | http://eprints.utm.my/3369/1/Simulation_of_Dengue_Outbreak_Prediction.pdf |
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author | Husin, Nor Azura Salim, Naomie Ahmad, Ab. Rahman |
author_facet | Husin, Nor Azura Salim, Naomie Ahmad, Ab. Rahman |
author_sort | Husin, Nor Azura |
collection | ePrints |
description | Neural Network Model (NNM), Hidden Markov Model (HMM) and Regression Model (RM) are developed to predict the spread of dengue outbreak in Malaysia. The case study covered dengue cases data from Selangor, which include seven mukims and eight administrative districts in year of 2004 and 2005. Specific criteria concerned are location, time (weeks) and intensity of dengue cases. Critical discussion of some previous studies upon the performance of each approach reveals that NNM has several advantages over the two other models in prediction although some limitations are observed and this indicated that NNM might have the better predict of dengue outbreak. However, these models will be further studied by measuring their Root Mean Square Error (RMSE) to identify the best prediction model. |
first_indexed | 2024-03-05T18:01:17Z |
format | Conference or Workshop Item |
id | utm.eprints-3369 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English |
last_indexed | 2024-03-05T18:01:17Z |
publishDate | 2006 |
record_format | dspace |
spelling | utm.eprints-33692017-08-27T00:36:20Z http://eprints.utm.my/3369/ Simulation of Dengue Outbreak Prediction Husin, Nor Azura Salim, Naomie Ahmad, Ab. Rahman H Social Sciences (General) QA75 Electronic computers. Computer science Neural Network Model (NNM), Hidden Markov Model (HMM) and Regression Model (RM) are developed to predict the spread of dengue outbreak in Malaysia. The case study covered dengue cases data from Selangor, which include seven mukims and eight administrative districts in year of 2004 and 2005. Specific criteria concerned are location, time (weeks) and intensity of dengue cases. Critical discussion of some previous studies upon the performance of each approach reveals that NNM has several advantages over the two other models in prediction although some limitations are observed and this indicated that NNM might have the better predict of dengue outbreak. However, these models will be further studied by measuring their Root Mean Square Error (RMSE) to identify the best prediction model. 2006-05 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utm.my/3369/1/Simulation_of_Dengue_Outbreak_Prediction.pdf Husin, Nor Azura and Salim, Naomie and Ahmad, Ab. Rahman (2006) Simulation of Dengue Outbreak Prediction. In: Postgraduate Annual Research Seminar 2006 (PARS 2006), 24 - 25 Mei 2006, Postgraduate Studies Department FSKSM, UTM Skudai. |
spellingShingle | H Social Sciences (General) QA75 Electronic computers. Computer science Husin, Nor Azura Salim, Naomie Ahmad, Ab. Rahman Simulation of Dengue Outbreak Prediction |
title | Simulation of Dengue Outbreak Prediction |
title_full | Simulation of Dengue Outbreak Prediction |
title_fullStr | Simulation of Dengue Outbreak Prediction |
title_full_unstemmed | Simulation of Dengue Outbreak Prediction |
title_short | Simulation of Dengue Outbreak Prediction |
title_sort | simulation of dengue outbreak prediction |
topic | H Social Sciences (General) QA75 Electronic computers. Computer science |
url | http://eprints.utm.my/3369/1/Simulation_of_Dengue_Outbreak_Prediction.pdf |
work_keys_str_mv | AT husinnorazura simulationofdengueoutbreakprediction AT salimnaomie simulationofdengueoutbreakprediction AT ahmadabrahman simulationofdengueoutbreakprediction |