A preliminary study on the collaborative use of statistical modeling in a GIS study of asthmatic morbidity / Mohammad Said Zainol, Sayed Jamaludin S. Ali and Zainal Mat Saat

This paper reports an ongoing effort in the collaborative use of statistical modeling techniques and GIS in an epidemiological related research. The problems of increasing asthmatic prevalence and morbidity and their relationship to environmental pollutants in the state of Perlis are being investiga...

Full description

Bibliographic Details
Main Authors:	Zainol, Mohammad Said, S. Ali, Sayed Jamaludin, Mat Saat, Zainal
Format:	Article
Language:	English
Published:	Fakulti Teknologi Maklumat dan Sains Kuantitatif 2005
Subjects:	Malaysia Asthma
Online Access:	http://ir.uitm.edu.my/id/eprint/11649/ http://ir.uitm.edu.my/id/eprint/11649/1/AJ_MOHAMMAD%20SAID%20ZAINOL%20JTMSK%2005.pdf

id	uitm-11649
recordtype	eprints
spelling	uitm-116492016-09-27T03:35:54Z http://ir.uitm.edu.my/id/eprint/11649/ A preliminary study on the collaborative use of statistical modeling in a GIS study of asthmatic morbidity / Mohammad Said Zainol, Sayed Jamaludin S. Ali and Zainal Mat Saat Zainol, Mohammad Said S. Ali, Sayed Jamaludin Mat Saat, Zainal Malaysia Asthma Malaysia This paper reports an ongoing effort in the collaborative use of statistical modeling techniques and GIS in an epidemiological related research. The problems of increasing asthmatic prevalence and morbidity and their relationship to environmental pollutants in the state of Perlis are being investigated. The main hypothesis is that asthmatic prevalence and morbidity increases where and when levels of specific air pollutants increase. The widely common conjecture that exposure to air pollutants has adverse effects upon respiratory diseases, particularly asthma, is translated into a belief that air pollutants correlate with asthmatic prevalence and morbidity, which in turn calls for the construction of models of statistical relationships between levels of air pollutants and asthmatic prevalence. Outputs of this model provide an interesting dimension to the use of GIS technology in the research into asthmatic morbidity and prevalence. Fakulti Teknologi Maklumat dan Sains Kuantitatif 2005 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/11649/1/AJ_MOHAMMAD%20SAID%20ZAINOL%20JTMSK%2005.pdf Zainol, Mohammad Said and S. Ali, Sayed Jamaludin and Mat Saat, Zainal (2005) A preliminary study on the collaborative use of statistical modeling in a GIS study of asthmatic morbidity / Mohammad Said Zainol, Sayed Jamaludin S. Ali and Zainal Mat Saat. Jurnal Teknologi Maklumat dan Sains Kuantitatif, 7 (1). pp. 9-17. ISSN 1823-0822
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Malaysia Asthma Malaysia
spellingShingle	Malaysia Asthma Malaysia Zainol, Mohammad Said S. Ali, Sayed Jamaludin Mat Saat, Zainal A preliminary study on the collaborative use of statistical modeling in a GIS study of asthmatic morbidity / Mohammad Said Zainol, Sayed Jamaludin S. Ali and Zainal Mat Saat
description	This paper reports an ongoing effort in the collaborative use of statistical modeling techniques and GIS in an epidemiological related research. The problems of increasing asthmatic prevalence and morbidity and their relationship to environmental pollutants in the state of Perlis are being investigated. The main hypothesis is that asthmatic prevalence and morbidity increases where and when levels of specific air pollutants increase. The widely common conjecture that exposure to air pollutants has adverse effects upon respiratory diseases, particularly asthma, is translated into a belief that air pollutants correlate with asthmatic prevalence and morbidity, which in turn calls for the construction of models of statistical relationships between levels of air pollutants and asthmatic prevalence. Outputs of this model provide an interesting dimension to the use of GIS technology in the research into asthmatic morbidity and prevalence.
format	Article
author	Zainol, Mohammad Said S. Ali, Sayed Jamaludin Mat Saat, Zainal
author_facet	Zainol, Mohammad Said S. Ali, Sayed Jamaludin Mat Saat, Zainal
author_sort	Zainol, Mohammad Said
title	A preliminary study on the collaborative use of statistical modeling in a GIS study of asthmatic morbidity / Mohammad Said Zainol, Sayed Jamaludin S. Ali and Zainal Mat Saat
title_short	A preliminary study on the collaborative use of statistical modeling in a GIS study of asthmatic morbidity / Mohammad Said Zainol, Sayed Jamaludin S. Ali and Zainal Mat Saat
title_full	A preliminary study on the collaborative use of statistical modeling in a GIS study of asthmatic morbidity / Mohammad Said Zainol, Sayed Jamaludin S. Ali and Zainal Mat Saat
title_fullStr	A preliminary study on the collaborative use of statistical modeling in a GIS study of asthmatic morbidity / Mohammad Said Zainol, Sayed Jamaludin S. Ali and Zainal Mat Saat
title_full_unstemmed	A preliminary study on the collaborative use of statistical modeling in a GIS study of asthmatic morbidity / Mohammad Said Zainol, Sayed Jamaludin S. Ali and Zainal Mat Saat
title_sort	preliminary study on the collaborative use of statistical modeling in a gis study of asthmatic morbidity / mohammad said zainol, sayed jamaludin s. ali and zainal mat saat
publisher	Fakulti Teknologi Maklumat dan Sains Kuantitatif
publishDate	2005
url	http://ir.uitm.edu.my/id/eprint/11649/ http://ir.uitm.edu.my/id/eprint/11649/1/AJ_MOHAMMAD%20SAID%20ZAINOL%20JTMSK%2005.pdf
first_indexed	2023-09-18T22:48:21Z
last_indexed	2023-09-18T22:48:21Z
_version_	1777417376755613696

A preliminary study on the collaborative use of statistical modeling in a GIS study of asthmatic morbidity / Mohammad Said Zainol, Sayed Jamaludin S. Ali and Zainal Mat Saat

Similar Items