Trend surface analysis of hand, foot and mouth disease in Sarawak

In this study we aim to fit a trend surface model for Hand, Foot And Mouth Disease (HFMD) in Sarawak and also check the adequacy of the model obtained. For this, the epidemiological data of year 2012(outbreak year) and 2011 are used. Models were built up to second order polynomial based on the idea...

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Main Authors: Mohammad Sham, Noraishah, Krishnarajah, Isthrinayagy, Ibrahim, Noor Akma, Lye, Munn Sann
Format: Article
Language:English
Published: Maxwell Scientific Organization 2013
Online Access:http://psasir.upm.edu.my/id/eprint/29823/
http://psasir.upm.edu.my/id/eprint/29823/1/Trend%20surface%20analysis%20of%20hand.pdf
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author Mohammad Sham, Noraishah
Krishnarajah, Isthrinayagy
Ibrahim, Noor Akma
Lye, Munn Sann
author_facet Mohammad Sham, Noraishah
Krishnarajah, Isthrinayagy
Ibrahim, Noor Akma
Lye, Munn Sann
author_sort Mohammad Sham, Noraishah
building UPM Institutional Repository
collection Online Access
description In this study we aim to fit a trend surface model for Hand, Foot And Mouth Disease (HFMD) in Sarawak and also check the adequacy of the model obtained. For this, the epidemiological data of year 2012(outbreak year) and 2011 are used. Models were built up to second order polynomial based on the idea that number of HFMD cases can be described by regression residual analysis. With Moran I statistic, residuals from all the trend surface models were examined for spatial autocorrelation. All six trend surface models for 2011 data had residuals that were not spatially autocorrelated. However, one model for 2012 data showed spatial autocorrelation. The best model for each year of the two years that represent disease outbreak and non-outbreak situations was selected based on Mallows’ Cp statistic. These models could be used to predict the number of cases for locations of interest.
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spelling upm-298232019-11-26T03:20:03Z http://psasir.upm.edu.my/id/eprint/29823/ Trend surface analysis of hand, foot and mouth disease in Sarawak Mohammad Sham, Noraishah Krishnarajah, Isthrinayagy Ibrahim, Noor Akma Lye, Munn Sann In this study we aim to fit a trend surface model for Hand, Foot And Mouth Disease (HFMD) in Sarawak and also check the adequacy of the model obtained. For this, the epidemiological data of year 2012(outbreak year) and 2011 are used. Models were built up to second order polynomial based on the idea that number of HFMD cases can be described by regression residual analysis. With Moran I statistic, residuals from all the trend surface models were examined for spatial autocorrelation. All six trend surface models for 2011 data had residuals that were not spatially autocorrelated. However, one model for 2012 data showed spatial autocorrelation. The best model for each year of the two years that represent disease outbreak and non-outbreak situations was selected based on Mallows’ Cp statistic. These models could be used to predict the number of cases for locations of interest. Maxwell Scientific Organization 2013-06-20 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/29823/1/Trend%20surface%20analysis%20of%20hand.pdf Mohammad Sham, Noraishah and Krishnarajah, Isthrinayagy and Ibrahim, Noor Akma and Lye, Munn Sann (2013) Trend surface analysis of hand, foot and mouth disease in Sarawak. Research Journal of Environmental and Earth Sciences, 5 (6). pp. 337-341. ISSN 2041-0484; ESSN: 2041-0492 http://maxwellsci.com/jp/abstract.php?jid=RJEES&no=333&abs=07
spellingShingle Mohammad Sham, Noraishah
Krishnarajah, Isthrinayagy
Ibrahim, Noor Akma
Lye, Munn Sann
Trend surface analysis of hand, foot and mouth disease in Sarawak
title Trend surface analysis of hand, foot and mouth disease in Sarawak
title_full Trend surface analysis of hand, foot and mouth disease in Sarawak
title_fullStr Trend surface analysis of hand, foot and mouth disease in Sarawak
title_full_unstemmed Trend surface analysis of hand, foot and mouth disease in Sarawak
title_short Trend surface analysis of hand, foot and mouth disease in Sarawak
title_sort trend surface analysis of hand, foot and mouth disease in sarawak
url http://psasir.upm.edu.my/id/eprint/29823/
http://psasir.upm.edu.my/id/eprint/29823/
http://psasir.upm.edu.my/id/eprint/29823/1/Trend%20surface%20analysis%20of%20hand.pdf